index
int64 | repo_id
string | file_path
string | content
string |
|---|---|---|---|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/EventType.java
|
package water.bindings.pojos;
public enum EventType {
unknown,
heartbeat,
network_msg,
io,
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/EventV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class EventV3 extends Schema {
/** Time when the event was recorded. Format is hh:mm:ss:ms */
public String date;
/** Time in nanos */
public long nanos;
/** type of recorded event */
public EventType type;
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/ExampleModelOutputV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
import java.util.Map;
public class ExampleModelOutputV3 extends ModelOutputSchema {
/** Iterations executed */
public int iterations;
/** */
public double[] maxs;
/* INHERITED: Column names
* public String[] names;
*/
/* INHERITED: Domains for categorical columns
* public String[][] domains;
*/
/* INHERITED: Cross-validation models (model ids)
* public ModelKeyV3[] cross_validation_models;
*/
/* INHERITED: Cross-validation predictions, one per cv model (deprecated, use cross_validation_holdout_predictions_frame_id instead)
* public FrameKeyV3[] cross_validation_predictions;
*/
/* INHERITED: Cross-validation holdout predictions (full out-of-sample predictions on training data)
* public FrameKeyV3 cross_validation_holdout_predictions_frame_id;
*/
/* INHERITED: Cross-validation fold assignment (each row is assigned to one holdout fold)
* public FrameKeyV3 cross_validation_fold_assignment_frame_id;
*/
/* INHERITED: Category of the model (e.g., Binomial)
* public ModelCategory model_category;
*/
/* INHERITED: Model summary
* public TwoDimTableV3 model_summary;
*/
/* INHERITED: Scoring history
* public TwoDimTableV3 scoring_history;
*/
/* INHERITED: Training data model metrics
* public ModelMetricsBase training_metrics;
*/
/* INHERITED: Validation data model metrics
* public ModelMetricsBase validation_metrics;
*/
/* INHERITED: Cross-validation model metrics
* public ModelMetricsBase cross_validation_metrics;
*/
/* INHERITED: Cross-validation model metrics summary
* public TwoDimTableV3 cross_validation_metrics_summary;
*/
/* INHERITED: Job status
* public String status;
*/
/* INHERITED: Start time in milliseconds
* public long start_time;
*/
/* INHERITED: End time in milliseconds
* public long end_time;
*/
/* INHERITED: Runtime in milliseconds
* public long run_time;
*/
/* INHERITED: Help information for output fields
* public Map<String,String> help;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/ExampleModelV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class ExampleModelV3 extends ModelSchema {
/* INHERITED: The build parameters for the model (e.g. K for KMeans).
* public ExampleParametersV3 parameters;
*/
/* INHERITED: The build output for the model (e.g. the cluster centers for KMeans).
* public ExampleModelOutputV3 output;
*/
/* INHERITED: Compatible frames, if requested
* public String[] compatible_frames;
*/
/* INHERITED: Checksum for all the things that go into building the Model.
* public long checksum;
*/
/* INHERITED: Model key
* public ModelKeyV3 model_id;
*/
/* INHERITED: The algo name for this Model.
* public String algo;
*/
/* INHERITED: The pretty algo name for this Model (e.g., Generalized Linear Model, rather than GLM).
* public String algo_full_name;
*/
/* INHERITED: The response column name for this Model (if applicable). Is null otherwise.
* public String response_column_name;
*/
/* INHERITED: The Model's training frame key
* public FrameKeyV3 data_frame;
*/
/* INHERITED: Timestamp for when this model was completed
* public long timestamp;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/ExampleParametersV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class ExampleParametersV3 extends ModelParametersSchema {
/** Maximum training iterations. */
public int max_iterations;
/* INHERITED: Destination id for this model; auto-generated if not specified
* public ModelKeyV3 model_id;
*/
/* INHERITED: Training frame
* public FrameKeyV3 training_frame;
*/
/* INHERITED: Validation frame
* public FrameKeyV3 validation_frame;
*/
/* INHERITED: Number of folds for N-fold cross-validation
* public int nfolds;
*/
/* INHERITED: Keep cross-validation model predictions
* public boolean keep_cross_validation_predictions;
*/
/* INHERITED: Keep cross-validation fold assignment
* public boolean keep_cross_validation_fold_assignment;
*/
/* INHERITED: Allow parallel training of cross-validation models
* public boolean parallelize_cross_validation;
*/
/* INHERITED: Response column
* public ColSpecifierV3 response_column;
*/
/* INHERITED: Column with observation weights
* public ColSpecifierV3 weights_column;
*/
/* INHERITED: Offset column
* public ColSpecifierV3 offset_column;
*/
/* INHERITED: Column with cross-validation fold index assignment per observation
* public ColSpecifierV3 fold_column;
*/
/* INHERITED: Cross-validation fold assignment scheme, if fold_column is not specified
* public FoldAssignmentScheme fold_assignment;
*/
/* INHERITED: Ignored columns
* public String[] ignored_columns;
*/
/* INHERITED: Ignore constant columns
* public boolean ignore_const_cols;
*/
/* INHERITED: Whether to score during each iteration of model training
* public boolean score_each_iteration;
*/
/* INHERITED: Model checkpoint to resume training with
* public ModelKeyV3 checkpoint;
*/
/* INHERITED: Early stopping based on convergence of stopping_metric. Stop if simple moving average of length k of the stopping_metric does not improve for k:=stopping_rounds scoring events (0 to disable)
* public int stopping_rounds;
*/
/* INHERITED: Maximum allowed runtime in seconds for model training. Use 0 to disable.
* public double max_runtime_secs;
*/
/* INHERITED: Metric to use for early stopping (AUTO: logloss for classification, deviance for regression)
* public StoppingMetric stopping_metric;
*/
/* INHERITED: Relative tolerance for metric-based stopping criterion (stop if relative improvement is not at least this much)
* public double stopping_tolerance;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/ExampleV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class ExampleV3 extends ModelBuilderSchema {
/* INHERITED: Model builder parameters.
* public ExampleParametersV3 parameters;
*/
/* INHERITED: The algo name for this ModelBuilder.
* public String algo;
*/
/* INHERITED: The pretty algo name for this ModelBuilder (e.g., Generalized Linear Model, rather than GLM).
* public String algo_full_name;
*/
/* INHERITED: Model categories this ModelBuilder can build.
* public ModelCategory[] can_build;
*/
/* INHERITED: Should the builder always be visible, be marked as beta, or only visible if the user starts up with the experimental flag?
* public BuilderVisibility visibility;
*/
/* INHERITED: Job Key
* public JobV3 job;
*/
/* INHERITED: Parameter validation messages
* public ValidationMessageV3[] messages;
*/
/* INHERITED: Count of parameter validation errors
* public int error_count;
*/
/* INHERITED: HTTP status to return for this build.
* public int __http_status;
*/
/* INHERITED: Comma-separated list of JSON field paths to exclude from the result, used like: "/3/Frames?_exclude_fields=frames/frame_id/URL,__meta"
* public String _exclude_fields;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/Family.java
|
package water.bindings.pojos;
public enum Family {
AUTO,
bernoulli,
multinomial,
gaussian,
poisson,
gamma,
tweedie,
laplace,
quantile,
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/FieldMetadataBase.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class FieldMetadataBase extends Schema {
/** Field name in the Schema */
public String name;
/** Type for this field */
public String type;
/** Type for this field is itself a Schema. */
public boolean is_schema;
/** Schema name for this field, if it is_schema, or the name of the enum, if it's an enum. */
public String schema_name;
/** Value for this field */
public Object value;
/** A short help description to appear alongside the field in a UI */
public String help;
/** The label that should be displayed for the field if the name is insufficient */
public String label;
/** Is this field required, or is the default value generally sufficient? */
public boolean required;
/** How important is this field? The web UI uses the level to do a slow reveal of the parameters */
public Level level;
/** Is this field an input, output or inout? */
public Direction direction;
/** Is the field inherited from the parent schema? */
public boolean is_inherited;
/** Is the field gridable (i.e., it can be used in grid call) */
public boolean is_gridable;
/** For enum-type fields the allowed values are specified using the values annotation; this is used in UIs to tell the user the allowed values, and for validation */
public String[] values;
/** Should this field be rendered in the JSON representation? */
public boolean json;
/** For Vec-type fields this is the set of other Vec-type fields which must contain mutually exclusive values; for example, for a SupervisedModel the response_column must be mutually exclusive with the weights_column */
public String[] is_member_of_frames;
/** For Vec-type fields this is the set of Frame-type fields which must contain the named column; for example, for a SupervisedModel the response_column must be in both the training_frame and (if it's set) the validation_frame */
public String[] is_mutually_exclusive_with;
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/FieldMetadataV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class FieldMetadataV3 extends FieldMetadataBase {
/* INHERITED: Field name in the Schema
* public String name;
*/
/* INHERITED: Type for this field
* public String type;
*/
/* INHERITED: Type for this field is itself a Schema.
* public boolean is_schema;
*/
/* INHERITED: Schema name for this field, if it is_schema, or the name of the enum, if it's an enum.
* public String schema_name;
*/
/* INHERITED: Value for this field
* public Object value;
*/
/* INHERITED: A short help description to appear alongside the field in a UI
* public String help;
*/
/* INHERITED: The label that should be displayed for the field if the name is insufficient
* public String label;
*/
/* INHERITED: Is this field required, or is the default value generally sufficient?
* public boolean required;
*/
/* INHERITED: How important is this field? The web UI uses the level to do a slow reveal of the parameters
* public Level level;
*/
/* INHERITED: Is this field an input, output or inout?
* public Direction direction;
*/
/* INHERITED: Is the field inherited from the parent schema?
* public boolean is_inherited;
*/
/* INHERITED: Is the field gridable (i.e., it can be used in grid call)
* public boolean is_gridable;
*/
/* INHERITED: For enum-type fields the allowed values are specified using the values annotation; this is used in UIs to tell the user the allowed values, and for validation
* public String[] values;
*/
/* INHERITED: Should this field be rendered in the JSON representation?
* public boolean json;
*/
/* INHERITED: For Vec-type fields this is the set of other Vec-type fields which must contain mutually exclusive values; for example, for a SupervisedModel the response_column must be mutually exclusive with the weights_column
* public String[] is_member_of_frames;
*/
/* INHERITED: For Vec-type fields this is the set of Frame-type fields which must contain the named column; for example, for a SupervisedModel the response_column must be in both the training_frame and (if it's set) the validation_frame
* public String[] is_mutually_exclusive_with;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/FindV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class FindV3 extends RequestSchema {
/** Frame to search */
public FrameV3 key;
/** Column, or null for all */
public String column;
/** Starting row for search */
public long row;
/** Value to search for; leave blank for a search for missing values */
public String match;
/** previous row with matching value, or -1 */
public long prev;
/** next row with matching value, or -1 */
public long next;
/* INHERITED: Comma-separated list of JSON field paths to exclude from the result, used like: "/3/Frames?_exclude_fields=frames/frame_id/URL,__meta"
* public String _exclude_fields;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/FoldAssignmentScheme.java
|
package water.bindings.pojos;
public enum FoldAssignmentScheme {
AUTO,
Random,
Modulo,
Stratified,
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/FrameBase.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class FrameBase extends Schema {
/** Frame ID */
public FrameKeyV3 frame_id;
/** Total data size in bytes */
public long byte_size;
/** Is this Frame raw unparsed data? */
public boolean is_text;
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/FrameKeyV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class FrameKeyV3 extends KeyV3 {
/* INHERITED: Name (string representation) for this Key.
* public String name;
*/
/* INHERITED: Name (string representation) for the type of Keyed this Key points to.
* public String type;
*/
/* INHERITED: URL for the resource that this Key points to, if one exists.
* public String URL;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/FrameSynopsisV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class FrameSynopsisV3 extends FrameBase {
/** Number of rows in the Frame */
public long rows;
/** Number of columns in the Frame */
public long columns;
/* INHERITED: Frame ID
* public FrameKeyV3 frame_id;
*/
/* INHERITED: Total data size in bytes
* public long byte_size;
*/
/* INHERITED: Is this Frame raw unparsed data?
* public boolean is_text;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/FrameV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class FrameV3 extends FrameBase {
/** Row offset to display */
public long row_offset;
/** Number of rows to display */
public int row_count;
/** Column offset to return */
public int column_offset;
/** Number of columns to return */
public int column_count;
/** Total number of columns in the Frame */
public int total_column_count;
/** checksum */
public long checksum;
/** Number of rows in the Frame */
public long rows;
/** Default percentiles, from 0 to 1 */
public double[] default_percentiles;
/** Columns in the Frame */
public ColV3[] columns;
/** Compatible models, if requested */
public String[] compatible_models;
/** Chunk summary */
public TwoDimTableV3 chunk_summary;
/** Distribution summary */
public TwoDimTableV3 distribution_summary;
/* INHERITED: Frame ID
* public FrameKeyV3 frame_id;
*/
/* INHERITED: Total data size in bytes
* public long byte_size;
*/
/* INHERITED: Is this Frame raw unparsed data?
* public boolean is_text;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/FramesBase.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class FramesBase extends RequestSchema {
/** Name of Frame of interest */
public FrameKeyV3 frame_id;
/** Name of column of interest */
public String column;
/** Row offset to return */
public long row_offset;
/** Number of rows to return */
public int row_count;
/** Column offset to return */
public int column_offset;
/** Number of columns to return */
public int column_count;
/** Find and return compatible models? */
public boolean find_compatible_models;
/** File output path */
public String path;
/** Overwrite existing file */
public boolean force;
/** Job for export file */
public JobV3 job;
/** Frames */
public FrameBase[] frames;
/** Compatible models */
public ModelSchema[] compatible_models;
/** Domains */
public String[][] domain;
/* INHERITED: Comma-separated list of JSON field paths to exclude from the result, used like: "/3/Frames?_exclude_fields=frames/frame_id/URL,__meta"
* public String _exclude_fields;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/FramesV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class FramesV3 extends FramesBase {
/* INHERITED: Name of Frame of interest
* public FrameKeyV3 frame_id;
*/
/* INHERITED: Name of column of interest
* public String column;
*/
/* INHERITED: Row offset to return
* public long row_offset;
*/
/* INHERITED: Number of rows to return
* public int row_count;
*/
/* INHERITED: Column offset to return
* public int column_offset;
*/
/* INHERITED: Number of columns to return
* public int column_count;
*/
/* INHERITED: Find and return compatible models?
* public boolean find_compatible_models;
*/
/* INHERITED: File output path
* public String path;
*/
/* INHERITED: Overwrite existing file
* public boolean force;
*/
/* INHERITED: Job for export file
* public JobV3 job;
*/
/* INHERITED: Frames
* public FrameBase[] frames;
*/
/* INHERITED: Compatible models
* public ModelSynopsisV3[] compatible_models;
*/
/* INHERITED: Domains
* public String[][] domain;
*/
/* INHERITED: Comma-separated list of JSON field paths to exclude from the result, used like: "/3/Frames?_exclude_fields=frames/frame_id/URL,__meta"
* public String _exclude_fields;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/GBMModelOutputV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
import java.util.Map;
public class GBMModelOutputV3 extends SharedTreeModelOutputV3 {
/* INHERITED: Variable Importances
* public TwoDimTableV3 variable_importances;
*/
/* INHERITED: The Intercept term, the initial model function value to which trees make adjustments
* public double init_f;
*/
/* INHERITED: Column names
* public String[] names;
*/
/* INHERITED: Domains for categorical columns
* public String[][] domains;
*/
/* INHERITED: Cross-validation models (model ids)
* public ModelKeyV3[] cross_validation_models;
*/
/* INHERITED: Cross-validation predictions, one per cv model (deprecated, use cross_validation_holdout_predictions_frame_id instead)
* public FrameKeyV3[] cross_validation_predictions;
*/
/* INHERITED: Cross-validation holdout predictions (full out-of-sample predictions on training data)
* public FrameKeyV3 cross_validation_holdout_predictions_frame_id;
*/
/* INHERITED: Cross-validation fold assignment (each row is assigned to one holdout fold)
* public FrameKeyV3 cross_validation_fold_assignment_frame_id;
*/
/* INHERITED: Category of the model (e.g., Binomial)
* public ModelCategory model_category;
*/
/* INHERITED: Model summary
* public TwoDimTableV3 model_summary;
*/
/* INHERITED: Scoring history
* public TwoDimTableV3 scoring_history;
*/
/* INHERITED: Training data model metrics
* public ModelMetricsBase training_metrics;
*/
/* INHERITED: Validation data model metrics
* public ModelMetricsBase validation_metrics;
*/
/* INHERITED: Cross-validation model metrics
* public ModelMetricsBase cross_validation_metrics;
*/
/* INHERITED: Cross-validation model metrics summary
* public TwoDimTableV3 cross_validation_metrics_summary;
*/
/* INHERITED: Job status
* public String status;
*/
/* INHERITED: Start time in milliseconds
* public long start_time;
*/
/* INHERITED: End time in milliseconds
* public long end_time;
*/
/* INHERITED: Runtime in milliseconds
* public long run_time;
*/
/* INHERITED: Help information for output fields
* public Map<String,String> help;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/GBMModelV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class GBMModelV3 extends SharedTreeModelV3 {
/* INHERITED: The build parameters for the model (e.g. K for KMeans).
* public GBMParametersV3 parameters;
*/
/* INHERITED: The build output for the model (e.g. the cluster centers for KMeans).
* public GBMModelOutputV3 output;
*/
/* INHERITED: Compatible frames, if requested
* public String[] compatible_frames;
*/
/* INHERITED: Checksum for all the things that go into building the Model.
* public long checksum;
*/
/* INHERITED: Model key
* public ModelKeyV3 model_id;
*/
/* INHERITED: The algo name for this Model.
* public String algo;
*/
/* INHERITED: The pretty algo name for this Model (e.g., Generalized Linear Model, rather than GLM).
* public String algo_full_name;
*/
/* INHERITED: The response column name for this Model (if applicable). Is null otherwise.
* public String response_column_name;
*/
/* INHERITED: The Model's training frame key
* public FrameKeyV3 data_frame;
*/
/* INHERITED: Timestamp for when this model was completed
* public long timestamp;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/GBMParametersV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class GBMParametersV3 extends SharedTreeParametersV3 {
/** Learning rate (from 0.0 to 1.0) */
public float learn_rate;
/** Distribution function */
public Family distribution;
/** Desired quantile for quantile regression (from 0.0 to 1.0) */
public double quantile_alpha;
/** Tweedie Power (between 1 and 2) */
public double tweedie_power;
/** Column sample rate (from 0.0 to 1.0) */
public float col_sample_rate;
/* INHERITED: Balance training data class counts via over/under-sampling (for imbalanced data).
* public boolean balance_classes;
*/
/* INHERITED: Desired over/under-sampling ratios per class (in lexicographic order). If not specified, sampling factors will be automatically computed to obtain class balance during training. Requires balance_classes.
* public float[] class_sampling_factors;
*/
/* INHERITED: Maximum relative size of the training data after balancing class counts (can be less than 1.0). Requires balance_classes.
* public float max_after_balance_size;
*/
/* INHERITED: Maximum size (# classes) for confusion matrices to be printed in the Logs
* public int max_confusion_matrix_size;
*/
/* INHERITED: Max. number (top K) of predictions to use for hit ratio computation (for multi-class only, 0 to disable)
* public int max_hit_ratio_k;
*/
/* INHERITED: Number of trees.
* public int ntrees;
*/
/* INHERITED: Maximum tree depth.
* public int max_depth;
*/
/* INHERITED: Fewest allowed (weighted) observations in a leaf (in R called 'nodesize').
* public double min_rows;
*/
/* INHERITED: For numerical columns (real/int), build a histogram of (at least) this many bins, then split at the best point
* public int nbins;
*/
/* INHERITED: For numerical columns (real/int), build a histogram of (at most) this many bins at the root level, then decrease by factor of two per level
* public int nbins_top_level;
*/
/* INHERITED: For categorical columns (factors), build a histogram of this many bins, then split at the best point. Higher values can lead to more overfitting.
* public int nbins_cats;
*/
/* INHERITED: Stop making trees when the R^2 metric equals or exceeds this
* public double r2_stopping;
*/
/* INHERITED: Seed for pseudo random number generator (if applicable)
* public long seed;
*/
/* INHERITED: Run on one node only; no network overhead but fewer cpus used. Suitable for small datasets.
* public boolean build_tree_one_node;
*/
/* INHERITED: Row sample rate per tree (from 0.0 to 1.0)
* public float sample_rate;
*/
/* INHERITED: Row sample rate per tree per class (from 0.0 to 1.0)
* public float[] sample_rate_per_class;
*/
/* INHERITED: Column sample rate per tree (from 0.0 to 1.0)
* public float col_sample_rate_per_tree;
*/
/* INHERITED: Score the model after every so many trees. Disabled if set to 0.
* public int score_tree_interval;
*/
/* INHERITED: Minimum relative improvement in squared error reduction for a split to happen.
* public double min_split_improvement;
*/
/* INHERITED: Destination id for this model; auto-generated if not specified
* public ModelKeyV3 model_id;
*/
/* INHERITED: Training frame
* public FrameKeyV3 training_frame;
*/
/* INHERITED: Validation frame
* public FrameKeyV3 validation_frame;
*/
/* INHERITED: Number of folds for N-fold cross-validation
* public int nfolds;
*/
/* INHERITED: Keep cross-validation model predictions
* public boolean keep_cross_validation_predictions;
*/
/* INHERITED: Keep cross-validation fold assignment
* public boolean keep_cross_validation_fold_assignment;
*/
/* INHERITED: Allow parallel training of cross-validation models
* public boolean parallelize_cross_validation;
*/
/* INHERITED: Response column
* public ColSpecifierV3 response_column;
*/
/* INHERITED: Column with observation weights
* public ColSpecifierV3 weights_column;
*/
/* INHERITED: Offset column
* public ColSpecifierV3 offset_column;
*/
/* INHERITED: Column with cross-validation fold index assignment per observation
* public ColSpecifierV3 fold_column;
*/
/* INHERITED: Cross-validation fold assignment scheme, if fold_column is not specified
* public FoldAssignmentScheme fold_assignment;
*/
/* INHERITED: Ignored columns
* public String[] ignored_columns;
*/
/* INHERITED: Ignore constant columns
* public boolean ignore_const_cols;
*/
/* INHERITED: Whether to score during each iteration of model training
* public boolean score_each_iteration;
*/
/* INHERITED: Model checkpoint to resume training with
* public ModelKeyV3 checkpoint;
*/
/* INHERITED: Early stopping based on convergence of stopping_metric. Stop if simple moving average of length k of the stopping_metric does not improve for k:=stopping_rounds scoring events (0 to disable)
* public int stopping_rounds;
*/
/* INHERITED: Maximum allowed runtime in seconds for model training. Use 0 to disable.
* public double max_runtime_secs;
*/
/* INHERITED: Metric to use for early stopping (AUTO: logloss for classification, deviance for regression)
* public StoppingMetric stopping_metric;
*/
/* INHERITED: Relative tolerance for metric-based stopping criterion (stop if relative improvement is not at least this much)
* public double stopping_tolerance;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/GBMV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class GBMV3 extends SharedTreeV3 {
/* INHERITED: Model builder parameters.
* public GBMParametersV3 parameters;
*/
/* INHERITED: The algo name for this ModelBuilder.
* public String algo;
*/
/* INHERITED: The pretty algo name for this ModelBuilder (e.g., Generalized Linear Model, rather than GLM).
* public String algo_full_name;
*/
/* INHERITED: Model categories this ModelBuilder can build.
* public ModelCategory[] can_build;
*/
/* INHERITED: Should the builder always be visible, be marked as beta, or only visible if the user starts up with the experimental flag?
* public BuilderVisibility visibility;
*/
/* INHERITED: Job Key
* public JobV3 job;
*/
/* INHERITED: Parameter validation messages
* public ValidationMessageV3[] messages;
*/
/* INHERITED: Count of parameter validation errors
* public int error_count;
*/
/* INHERITED: HTTP status to return for this build.
* public int __http_status;
*/
/* INHERITED: Comma-separated list of JSON field paths to exclude from the result, used like: "/3/Frames?_exclude_fields=frames/frame_id/URL,__meta"
* public String _exclude_fields;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/GLMModelOutputV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
import java.util.Map;
public class GLMModelOutputV3 extends ModelOutputSchema {
/** Table of Coefficients */
public TwoDimTableV3 coefficients_table;
/** Standardized Coefficient Magnitudes */
public TwoDimTableV3 standardized_coefficient_magnitudes;
/* INHERITED: Column names
* public String[] names;
*/
/* INHERITED: Domains for categorical columns
* public String[][] domains;
*/
/* INHERITED: Cross-validation models (model ids)
* public ModelKeyV3[] cross_validation_models;
*/
/* INHERITED: Cross-validation predictions, one per cv model (deprecated, use cross_validation_holdout_predictions_frame_id instead)
* public FrameKeyV3[] cross_validation_predictions;
*/
/* INHERITED: Cross-validation holdout predictions (full out-of-sample predictions on training data)
* public FrameKeyV3 cross_validation_holdout_predictions_frame_id;
*/
/* INHERITED: Cross-validation fold assignment (each row is assigned to one holdout fold)
* public FrameKeyV3 cross_validation_fold_assignment_frame_id;
*/
/* INHERITED: Category of the model (e.g., Binomial)
* public ModelCategory model_category;
*/
/* INHERITED: Model summary
* public TwoDimTableV3 model_summary;
*/
/* INHERITED: Scoring history
* public TwoDimTableV3 scoring_history;
*/
/* INHERITED: Training data model metrics
* public ModelMetricsBase training_metrics;
*/
/* INHERITED: Validation data model metrics
* public ModelMetricsBase validation_metrics;
*/
/* INHERITED: Cross-validation model metrics
* public ModelMetricsBase cross_validation_metrics;
*/
/* INHERITED: Cross-validation model metrics summary
* public TwoDimTableV3 cross_validation_metrics_summary;
*/
/* INHERITED: Job status
* public String status;
*/
/* INHERITED: Start time in milliseconds
* public long start_time;
*/
/* INHERITED: End time in milliseconds
* public long end_time;
*/
/* INHERITED: Runtime in milliseconds
* public long run_time;
*/
/* INHERITED: Help information for output fields
* public Map<String,String> help;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/GLMModelV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class GLMModelV3 extends ModelSchema {
/* INHERITED: The build parameters for the model (e.g. K for KMeans).
* public GLMParametersV3 parameters;
*/
/* INHERITED: The build output for the model (e.g. the cluster centers for KMeans).
* public GLMModelOutputV3 output;
*/
/* INHERITED: Compatible frames, if requested
* public String[] compatible_frames;
*/
/* INHERITED: Checksum for all the things that go into building the Model.
* public long checksum;
*/
/* INHERITED: Model key
* public ModelKeyV3 model_id;
*/
/* INHERITED: The algo name for this Model.
* public String algo;
*/
/* INHERITED: The pretty algo name for this Model (e.g., Generalized Linear Model, rather than GLM).
* public String algo_full_name;
*/
/* INHERITED: The response column name for this Model (if applicable). Is null otherwise.
* public String response_column_name;
*/
/* INHERITED: The Model's training frame key
* public FrameKeyV3 data_frame;
*/
/* INHERITED: Timestamp for when this model was completed
* public long timestamp;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/GLMParametersV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class GLMParametersV3 extends ModelParametersSchema {
/** Family. Use binomial for classification with logistic regression, others are for regression problems. */
public Family family;
/** Tweedie variance power */
public double tweedie_variance_power;
/** Tweedie link power */
public double tweedie_link_power;
/** AUTO will set the solver based on given data and the other parameters. IRLSM is fast on on problems with small number of predictors and for lambda-search with L1 penalty, L_BFGS scales better for datasets with many columns. Coordinate descent is experimental (beta). */
public Solver solver;
/** distribution of regularization between L1 and L2. */
public double[] alpha;
/** regularization strength */
public double[] lambda;
/** use lambda search starting at lambda max, given lambda is then interpreted as lambda min */
public boolean lambda_search;
/** number of lambdas to be used in a search */
public int nlambdas;
/** Standardize numeric columns to have zero mean and unit variance */
public boolean standardize;
/** Handling of missing values. Either Skip or MeanImputation. */
public MissingValuesHandling missing_values_handling;
/** Restrict coefficients (not intercept) to be non-negative */
public boolean non_negative;
/** Maximum number of iterations */
public int max_iterations;
/** converge if beta changes less (using L-infinity norm) than beta esilon, ONLY applies to IRLSM solver */
public double beta_epsilon;
/** converge if objective value changes less than this */
public double objective_epsilon;
/** converge if objective changes less (using L-infinity norm) than this, ONLY applies to L-BFGS solver */
public double gradient_epsilon;
/** likelihood divider in objective value computation, default is 1/nobs */
public double obj_reg;
/** */
public Link link;
/** include constant term in the model */
public boolean intercept;
/** prior probability for y==1. To be used only for logistic regression iff the data has been sampled and the mean of response does not reflect reality. */
public double prior;
/** min lambda used in lambda search, specified as a ratio of lambda_max */
public double lambda_min_ratio;
/** beta constraints */
public FrameKeyV3 beta_constraints;
/** Maximum number of active predictors during computation. Use as a stopping criterium to prevent expensive model building with many predictors. */
public int max_active_predictors;
/** A list of predictor column indices to interact. All pairwise combinations will be computed for the list. */
public String[] interactions;
/** Balance training data class counts via over/under-sampling (for imbalanced data). */
public boolean balance_classes;
/** Desired over/under-sampling ratios per class (in lexicographic order). If not specified, sampling factors will be automatically computed to obtain class balance during training. Requires balance_classes. */
public float[] class_sampling_factors;
/** Maximum relative size of the training data after balancing class counts (can be less than 1.0). Requires balance_classes. */
public float max_after_balance_size;
/** Maximum size (# classes) for confusion matrices to be printed in the Logs */
public int max_confusion_matrix_size;
/** Max. number (top K) of predictions to use for hit ratio computation (for multi-class only, 0 to disable) */
public int max_hit_ratio_k;
/** request p-values computation, p-values work only with IRLSM solver and no regularization */
public boolean compute_p_values;
/** in case of linearly dependent columns remove some of the dependent columns */
public boolean remove_collinear_columns;
/* INHERITED: Destination id for this model; auto-generated if not specified
* public ModelKeyV3 model_id;
*/
/* INHERITED: Training frame
* public FrameKeyV3 training_frame;
*/
/* INHERITED: Validation frame
* public FrameKeyV3 validation_frame;
*/
/* INHERITED: Number of folds for N-fold cross-validation
* public int nfolds;
*/
/* INHERITED: Keep cross-validation model predictions
* public boolean keep_cross_validation_predictions;
*/
/* INHERITED: Keep cross-validation fold assignment
* public boolean keep_cross_validation_fold_assignment;
*/
/* INHERITED: Allow parallel training of cross-validation models
* public boolean parallelize_cross_validation;
*/
/* INHERITED: Response column
* public ColSpecifierV3 response_column;
*/
/* INHERITED: Column with observation weights
* public ColSpecifierV3 weights_column;
*/
/* INHERITED: Offset column
* public ColSpecifierV3 offset_column;
*/
/* INHERITED: Column with cross-validation fold index assignment per observation
* public ColSpecifierV3 fold_column;
*/
/* INHERITED: Cross-validation fold assignment scheme, if fold_column is not specified
* public FoldAssignmentScheme fold_assignment;
*/
/* INHERITED: Ignored columns
* public String[] ignored_columns;
*/
/* INHERITED: Ignore constant columns
* public boolean ignore_const_cols;
*/
/* INHERITED: Whether to score during each iteration of model training
* public boolean score_each_iteration;
*/
/* INHERITED: Model checkpoint to resume training with
* public ModelKeyV3 checkpoint;
*/
/* INHERITED: Early stopping based on convergence of stopping_metric. Stop if simple moving average of length k of the stopping_metric does not improve for k:=stopping_rounds scoring events (0 to disable)
* public int stopping_rounds;
*/
/* INHERITED: Maximum allowed runtime in seconds for model training. Use 0 to disable.
* public double max_runtime_secs;
*/
/* INHERITED: Metric to use for early stopping (AUTO: logloss for classification, deviance for regression)
* public StoppingMetric stopping_metric;
*/
/* INHERITED: Relative tolerance for metric-based stopping criterion (stop if relative improvement is not at least this much)
* public double stopping_tolerance;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/GLMV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class GLMV3 extends ModelBuilderSchema {
/* INHERITED: Model builder parameters.
* public GLMParametersV3 parameters;
*/
/* INHERITED: The algo name for this ModelBuilder.
* public String algo;
*/
/* INHERITED: The pretty algo name for this ModelBuilder (e.g., Generalized Linear Model, rather than GLM).
* public String algo_full_name;
*/
/* INHERITED: Model categories this ModelBuilder can build.
* public ModelCategory[] can_build;
*/
/* INHERITED: Should the builder always be visible, be marked as beta, or only visible if the user starts up with the experimental flag?
* public BuilderVisibility visibility;
*/
/* INHERITED: Job Key
* public JobV3 job;
*/
/* INHERITED: Parameter validation messages
* public ValidationMessageV3[] messages;
*/
/* INHERITED: Count of parameter validation errors
* public int error_count;
*/
/* INHERITED: HTTP status to return for this build.
* public int __http_status;
*/
/* INHERITED: Comma-separated list of JSON field paths to exclude from the result, used like: "/3/Frames?_exclude_fields=frames/frame_id/URL,__meta"
* public String _exclude_fields;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/GLRMModelOutputV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
import java.util.Map;
public class GLRMModelOutputV3 extends ModelOutputSchema {
/** Iterations executed */
public int iterations;
/** Updates executed */
public int updates;
/** Objective value */
public double objective;
/** Average change in objective value on final iteration */
public double avg_change_obj;
/** Final step size */
public double step_size;
/** Mapping from lower dimensional k-space to training features */
public TwoDimTableV3 archetypes;
/** Singular values of XY matrix */
public double[] singular_vals;
/** Eigenvectors of XY matrix */
public TwoDimTableV3 eigenvectors;
/** Frame key name for X matrix */
public String representation_name;
/* INHERITED: Column names
* public String[] names;
*/
/* INHERITED: Domains for categorical columns
* public String[][] domains;
*/
/* INHERITED: Cross-validation models (model ids)
* public ModelKeyV3[] cross_validation_models;
*/
/* INHERITED: Cross-validation predictions, one per cv model (deprecated, use cross_validation_holdout_predictions_frame_id instead)
* public FrameKeyV3[] cross_validation_predictions;
*/
/* INHERITED: Cross-validation holdout predictions (full out-of-sample predictions on training data)
* public FrameKeyV3 cross_validation_holdout_predictions_frame_id;
*/
/* INHERITED: Cross-validation fold assignment (each row is assigned to one holdout fold)
* public FrameKeyV3 cross_validation_fold_assignment_frame_id;
*/
/* INHERITED: Category of the model (e.g., Binomial)
* public ModelCategory model_category;
*/
/* INHERITED: Model summary
* public TwoDimTableV3 model_summary;
*/
/* INHERITED: Scoring history
* public TwoDimTableV3 scoring_history;
*/
/* INHERITED: Training data model metrics
* public ModelMetricsBase training_metrics;
*/
/* INHERITED: Validation data model metrics
* public ModelMetricsBase validation_metrics;
*/
/* INHERITED: Cross-validation model metrics
* public ModelMetricsBase cross_validation_metrics;
*/
/* INHERITED: Cross-validation model metrics summary
* public TwoDimTableV3 cross_validation_metrics_summary;
*/
/* INHERITED: Job status
* public String status;
*/
/* INHERITED: Start time in milliseconds
* public long start_time;
*/
/* INHERITED: End time in milliseconds
* public long end_time;
*/
/* INHERITED: Runtime in milliseconds
* public long run_time;
*/
/* INHERITED: Help information for output fields
* public Map<String,String> help;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/GLRMModelV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class GLRMModelV3 extends ModelSchema {
/* INHERITED: The build parameters for the model (e.g. K for KMeans).
* public GLRMParametersV3 parameters;
*/
/* INHERITED: The build output for the model (e.g. the cluster centers for KMeans).
* public GLRMModelOutputV3 output;
*/
/* INHERITED: Compatible frames, if requested
* public String[] compatible_frames;
*/
/* INHERITED: Checksum for all the things that go into building the Model.
* public long checksum;
*/
/* INHERITED: Model key
* public ModelKeyV3 model_id;
*/
/* INHERITED: The algo name for this Model.
* public String algo;
*/
/* INHERITED: The pretty algo name for this Model (e.g., Generalized Linear Model, rather than GLM).
* public String algo_full_name;
*/
/* INHERITED: The response column name for this Model (if applicable). Is null otherwise.
* public String response_column_name;
*/
/* INHERITED: The Model's training frame key
* public FrameKeyV3 data_frame;
*/
/* INHERITED: Timestamp for when this model was completed
* public long timestamp;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/GLRMParametersV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class GLRMParametersV3 extends ModelParametersSchema {
/** Transformation of training data */
public TransformType transform;
/** Rank of matrix approximation */
public int k;
/** Numeric loss function */
public Loss loss;
/** Categorical loss function */
public Loss multi_loss;
/** Loss function by column (override) */
public Loss[] loss_by_col;
/** Loss function by column index (override) */
public int[] loss_by_col_idx;
/** Length of period (only used with periodic loss function) */
public int period;
/** Regularization function for X matrix */
public Regularizer regularization_x;
/** Regularization function for Y matrix */
public Regularizer regularization_y;
/** Regularization weight on X matrix */
public double gamma_x;
/** Regularization weight on Y matrix */
public double gamma_y;
/** Maximum number of iterations */
public int max_iterations;
/** Maximum number of updates */
public int max_updates;
/** Initial step size */
public double init_step_size;
/** Minimum step size */
public double min_step_size;
/** RNG seed for initialization */
public long seed;
/** Initialization mode */
public Initialization init;
/** Method for computing SVD during initialization (Caution: Power and Randomized are currently experimental and unstable) */
public Method svd_method;
/** User-specified initial Y */
public FrameKeyV3 user_y;
/** User-specified initial X */
public FrameKeyV3 user_x;
/** Frame key to save resulting X */
public String loading_name;
/** Expand categorical columns in user-specified initial Y */
public boolean expand_user_y;
/** Reconstruct original training data by reversing transform */
public boolean impute_original;
/** Recover singular values and eigenvectors of XY */
public boolean recover_svd;
/* INHERITED: Destination id for this model; auto-generated if not specified
* public ModelKeyV3 model_id;
*/
/* INHERITED: Training frame
* public FrameKeyV3 training_frame;
*/
/* INHERITED: Validation frame
* public FrameKeyV3 validation_frame;
*/
/* INHERITED: Number of folds for N-fold cross-validation
* public int nfolds;
*/
/* INHERITED: Keep cross-validation model predictions
* public boolean keep_cross_validation_predictions;
*/
/* INHERITED: Keep cross-validation fold assignment
* public boolean keep_cross_validation_fold_assignment;
*/
/* INHERITED: Allow parallel training of cross-validation models
* public boolean parallelize_cross_validation;
*/
/* INHERITED: Response column
* public ColSpecifierV3 response_column;
*/
/* INHERITED: Column with observation weights
* public ColSpecifierV3 weights_column;
*/
/* INHERITED: Offset column
* public ColSpecifierV3 offset_column;
*/
/* INHERITED: Column with cross-validation fold index assignment per observation
* public ColSpecifierV3 fold_column;
*/
/* INHERITED: Cross-validation fold assignment scheme, if fold_column is not specified
* public FoldAssignmentScheme fold_assignment;
*/
/* INHERITED: Ignored columns
* public String[] ignored_columns;
*/
/* INHERITED: Ignore constant columns
* public boolean ignore_const_cols;
*/
/* INHERITED: Whether to score during each iteration of model training
* public boolean score_each_iteration;
*/
/* INHERITED: Model checkpoint to resume training with
* public ModelKeyV3 checkpoint;
*/
/* INHERITED: Early stopping based on convergence of stopping_metric. Stop if simple moving average of length k of the stopping_metric does not improve for k:=stopping_rounds scoring events (0 to disable)
* public int stopping_rounds;
*/
/* INHERITED: Maximum allowed runtime in seconds for model training. Use 0 to disable.
* public double max_runtime_secs;
*/
/* INHERITED: Metric to use for early stopping (AUTO: logloss for classification, deviance for regression)
* public StoppingMetric stopping_metric;
*/
/* INHERITED: Relative tolerance for metric-based stopping criterion (stop if relative improvement is not at least this much)
* public double stopping_tolerance;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/GLRMV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class GLRMV3 extends ModelBuilderSchema {
/* INHERITED: Model builder parameters.
* public GLRMParametersV3 parameters;
*/
/* INHERITED: The algo name for this ModelBuilder.
* public String algo;
*/
/* INHERITED: The pretty algo name for this ModelBuilder (e.g., Generalized Linear Model, rather than GLM).
* public String algo_full_name;
*/
/* INHERITED: Model categories this ModelBuilder can build.
* public ModelCategory[] can_build;
*/
/* INHERITED: Should the builder always be visible, be marked as beta, or only visible if the user starts up with the experimental flag?
* public BuilderVisibility visibility;
*/
/* INHERITED: Job Key
* public JobV3 job;
*/
/* INHERITED: Parameter validation messages
* public ValidationMessageV3[] messages;
*/
/* INHERITED: Count of parameter validation errors
* public int error_count;
*/
/* INHERITED: HTTP status to return for this build.
* public int __http_status;
*/
/* INHERITED: Comma-separated list of JSON field paths to exclude from the result, used like: "/3/Frames?_exclude_fields=frames/frame_id/URL,__meta"
* public String _exclude_fields;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/GarbageCollectV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class GarbageCollectV3 extends Schema {
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/GrepModelOutputV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
import java.util.Map;
public class GrepModelOutputV3 extends ModelOutputSchema {
/** Matching strings */
public String[] matches;
/** Byte offsets of matches */
public long[] offsets;
/* INHERITED: Column names
* public String[] names;
*/
/* INHERITED: Domains for categorical columns
* public String[][] domains;
*/
/* INHERITED: Cross-validation models (model ids)
* public ModelKeyV3[] cross_validation_models;
*/
/* INHERITED: Cross-validation predictions, one per cv model (deprecated, use cross_validation_holdout_predictions_frame_id instead)
* public FrameKeyV3[] cross_validation_predictions;
*/
/* INHERITED: Cross-validation holdout predictions (full out-of-sample predictions on training data)
* public FrameKeyV3 cross_validation_holdout_predictions_frame_id;
*/
/* INHERITED: Cross-validation fold assignment (each row is assigned to one holdout fold)
* public FrameKeyV3 cross_validation_fold_assignment_frame_id;
*/
/* INHERITED: Category of the model (e.g., Binomial)
* public ModelCategory model_category;
*/
/* INHERITED: Model summary
* public TwoDimTableV3 model_summary;
*/
/* INHERITED: Scoring history
* public TwoDimTableV3 scoring_history;
*/
/* INHERITED: Training data model metrics
* public ModelMetricsBase training_metrics;
*/
/* INHERITED: Validation data model metrics
* public ModelMetricsBase validation_metrics;
*/
/* INHERITED: Cross-validation model metrics
* public ModelMetricsBase cross_validation_metrics;
*/
/* INHERITED: Cross-validation model metrics summary
* public TwoDimTableV3 cross_validation_metrics_summary;
*/
/* INHERITED: Job status
* public String status;
*/
/* INHERITED: Start time in milliseconds
* public long start_time;
*/
/* INHERITED: End time in milliseconds
* public long end_time;
*/
/* INHERITED: Runtime in milliseconds
* public long run_time;
*/
/* INHERITED: Help information for output fields
* public Map<String,String> help;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/GrepModelV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class GrepModelV3 extends ModelSchema {
/* INHERITED: The build parameters for the model (e.g. K for KMeans).
* public GrepParametersV3 parameters;
*/
/* INHERITED: The build output for the model (e.g. the cluster centers for KMeans).
* public GrepModelOutputV3 output;
*/
/* INHERITED: Compatible frames, if requested
* public String[] compatible_frames;
*/
/* INHERITED: Checksum for all the things that go into building the Model.
* public long checksum;
*/
/* INHERITED: Model key
* public ModelKeyV3 model_id;
*/
/* INHERITED: The algo name for this Model.
* public String algo;
*/
/* INHERITED: The pretty algo name for this Model (e.g., Generalized Linear Model, rather than GLM).
* public String algo_full_name;
*/
/* INHERITED: The response column name for this Model (if applicable). Is null otherwise.
* public String response_column_name;
*/
/* INHERITED: The Model's training frame key
* public FrameKeyV3 data_frame;
*/
/* INHERITED: Timestamp for when this model was completed
* public long timestamp;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/GrepParametersV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class GrepParametersV3 extends ModelParametersSchema {
/** regex */
public String regex;
/* INHERITED: Destination id for this model; auto-generated if not specified
* public ModelKeyV3 model_id;
*/
/* INHERITED: Training frame
* public FrameKeyV3 training_frame;
*/
/* INHERITED: Validation frame
* public FrameKeyV3 validation_frame;
*/
/* INHERITED: Number of folds for N-fold cross-validation
* public int nfolds;
*/
/* INHERITED: Keep cross-validation model predictions
* public boolean keep_cross_validation_predictions;
*/
/* INHERITED: Keep cross-validation fold assignment
* public boolean keep_cross_validation_fold_assignment;
*/
/* INHERITED: Allow parallel training of cross-validation models
* public boolean parallelize_cross_validation;
*/
/* INHERITED: Response column
* public ColSpecifierV3 response_column;
*/
/* INHERITED: Column with observation weights
* public ColSpecifierV3 weights_column;
*/
/* INHERITED: Offset column
* public ColSpecifierV3 offset_column;
*/
/* INHERITED: Column with cross-validation fold index assignment per observation
* public ColSpecifierV3 fold_column;
*/
/* INHERITED: Cross-validation fold assignment scheme, if fold_column is not specified
* public FoldAssignmentScheme fold_assignment;
*/
/* INHERITED: Ignored columns
* public String[] ignored_columns;
*/
/* INHERITED: Ignore constant columns
* public boolean ignore_const_cols;
*/
/* INHERITED: Whether to score during each iteration of model training
* public boolean score_each_iteration;
*/
/* INHERITED: Model checkpoint to resume training with
* public ModelKeyV3 checkpoint;
*/
/* INHERITED: Early stopping based on convergence of stopping_metric. Stop if simple moving average of length k of the stopping_metric does not improve for k:=stopping_rounds scoring events (0 to disable)
* public int stopping_rounds;
*/
/* INHERITED: Maximum allowed runtime in seconds for model training. Use 0 to disable.
* public double max_runtime_secs;
*/
/* INHERITED: Metric to use for early stopping (AUTO: logloss for classification, deviance for regression)
* public StoppingMetric stopping_metric;
*/
/* INHERITED: Relative tolerance for metric-based stopping criterion (stop if relative improvement is not at least this much)
* public double stopping_tolerance;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/GrepV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class GrepV3 extends ModelBuilderSchema {
/* INHERITED: Model builder parameters.
* public GrepParametersV3 parameters;
*/
/* INHERITED: The algo name for this ModelBuilder.
* public String algo;
*/
/* INHERITED: The pretty algo name for this ModelBuilder (e.g., Generalized Linear Model, rather than GLM).
* public String algo_full_name;
*/
/* INHERITED: Model categories this ModelBuilder can build.
* public ModelCategory[] can_build;
*/
/* INHERITED: Should the builder always be visible, be marked as beta, or only visible if the user starts up with the experimental flag?
* public BuilderVisibility visibility;
*/
/* INHERITED: Job Key
* public JobV3 job;
*/
/* INHERITED: Parameter validation messages
* public ValidationMessageV3[] messages;
*/
/* INHERITED: Count of parameter validation errors
* public int error_count;
*/
/* INHERITED: HTTP status to return for this build.
* public int __http_status;
*/
/* INHERITED: Comma-separated list of JSON field paths to exclude from the result, used like: "/3/Frames?_exclude_fields=frames/frame_id/URL,__meta"
* public String _exclude_fields;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/GridKeyV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class GridKeyV3 extends KeyV3 {
/* INHERITED: Name (string representation) for this Key.
* public String name;
*/
/* INHERITED: Name (string representation) for the type of Keyed this Key points to.
* public String type;
*/
/* INHERITED: URL for the resource that this Key points to, if one exists.
* public String URL;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/GridSchemaV99.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class GridSchemaV99 extends Schema {
/** Grid id */
public GridKeyV3 grid_id;
/** Model performance metric to sort by. Examples: logloss, residual_deviance, mse, auc, r2, f1, recall, precision, accuracy, mcc, err, err_count, lift_top_group, max_per_class_error */
public String sort_by;
/** Specify whether sort order should be decreasing. */
public boolean decreasing;
/** Model IDs built by a grid search */
public ModelKeyV3[] model_ids;
/** Used hyper parameters. */
public String[] hyper_names;
/** List of failed parameters */
public ModelParametersSchema[] failed_params;
/** List of detailed failure messages */
public String[] failure_details;
/** List of detailed failure stack traces */
public String[] failure_stack_traces;
/** List of raw parameters causing model building failure */
public String[][] failed_raw_params;
/** Training model metrics for the returned models; only returned if sort_by is set */
public ModelMetricsBase[] training_metrics;
/** Validation model metrics for the returned models; only returned if sort_by is set */
public ModelMetricsBase[] validation_metrics;
/** Cross validation model metrics for the returned models; only returned if sort_by is set */
public ModelMetricsBase[] cross_validation_metrics;
/** Cross validation model metrics summary for the returned models; only returned if sort_by is set */
public TwoDimTableV3[] cross_validation_metrics_summary;
/** Summary */
public TwoDimTableV3 summary_table;
/** Scoring history */
public TwoDimTableV3 scoring_history;
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/GridSearchSchema.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
import java.util.Map;
public class GridSearchSchema extends Schema {
/** Basic model builder parameters. */
public ModelParametersSchema parameters;
/** Grid search parameters. */
public Map<Object,Object> hyper_parameters;
/** Destination id for this grid; auto-generated if not specified. */
public GridKeyV3 grid_id;
/** Hyperparameter search criteria, including strategy and early stopping directives. If it is not given, exhaustive Cartesian is used. */
public HyperSpaceSearchCriteriaV99 search_criteria;
/** Number of all models generated by grid search. */
public int total_models;
/** Job Key. */
public JobV3 job;
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/GridsV99.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class GridsV99 extends Schema {
/** Grids */
public GridSchemaV99[] grids;
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/H2OErrorV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
import java.util.Map;
public class H2OErrorV3 extends Schema {
/** Milliseconds since the epoch for the time that this H2OError instance was created. Generally this is a short time since the underlying error ocurred. */
public long timestamp;
/** Error url */
public String error_url;
/** Message intended for the end user (a data scientist). */
public String msg;
/** Potentially more detailed message intended for a developer (e.g. a front end engineer or someone designing a language binding). */
public String dev_msg;
/** HTTP status code for this error. */
public int http_status;
/** Any values that are relevant to reporting or handling this error. Examples are a key name if the error is on a key, or a field name and object name if it's on a specific field. */
public Map<String,Object> values;
/** Exception type, if any. */
public String exception_type;
/** Raw exception message, if any. */
public String exception_msg;
/** Stacktrace, if any. */
public String[] stacktrace;
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/H2OModelBuilderErrorV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
import java.util.Map;
public class H2OModelBuilderErrorV3 extends H2OErrorV3 {
/** Model builder parameters. */
public ModelParametersSchema parameters;
/** Parameter validation messages */
public ValidationMessageV3[] messages;
/** Count of parameter validation errors */
public int error_count;
/* INHERITED: Milliseconds since the epoch for the time that this H2OError instance was created. Generally this is a short time since the underlying error ocurred.
* public long timestamp;
*/
/* INHERITED: Error url
* public String error_url;
*/
/* INHERITED: Message intended for the end user (a data scientist).
* public String msg;
*/
/* INHERITED: Potentially more detailed message intended for a developer (e.g. a front end engineer or someone designing a language binding).
* public String dev_msg;
*/
/* INHERITED: HTTP status code for this error.
* public int http_status;
*/
/* INHERITED: Any values that are relevant to reporting or handling this error. Examples are a key name if the error is on a key, or a field name and object name if it's on a specific field.
* public Map<String,Object> values;
*/
/* INHERITED: Exception type, if any.
* public String exception_type;
*/
/* INHERITED: Raw exception message, if any.
* public String exception_msg;
*/
/* INHERITED: Stacktrace, if any.
* public String[] stacktrace;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/HeartBeatEvent.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class HeartBeatEvent extends EventV3 {
/** number of sent heartbeats */
public int sends;
/** number of received heartbeats */
public int recvs;
/* INHERITED: Time when the event was recorded. Format is hh:mm:ss:ms
* public String date;
*/
/* INHERITED: Time in nanos
* public long nanos;
*/
/* INHERITED: type of recorded event
* public EventType type;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/HyperSpaceSearchCriteriaV99.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class HyperSpaceSearchCriteriaV99 extends Schema {
/** Hyperparameter space search strategy. */
public Strategy strategy;
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/IOEvent.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class IOEvent extends EventV3 {
/** flavor of the recorded io (ice/hdfs/...) */
public String io_flavor;
/** node where this io event happened */
public String node;
/** data info */
public String data;
/* INHERITED: Time when the event was recorded. Format is hh:mm:ss:ms
* public String date;
*/
/* INHERITED: Time in nanos
* public long nanos;
*/
/* INHERITED: type of recorded event
* public EventType type;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/ImportFilesV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class ImportFilesV3 extends RequestSchema {
/** path */
public String path;
/** files */
public String[] files;
/** names */
public String[] destination_frames;
/** fails */
public String[] fails;
/** dels */
public String[] dels;
/* INHERITED: Comma-separated list of JSON field paths to exclude from the result, used like: "/3/Frames?_exclude_fields=frames/frame_id/URL,__meta"
* public String _exclude_fields;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/ImportSQLTableV99.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class ImportSQLTableV99 extends RequestSchema {
/** database_sys */
public String database_sys;
/** database */
public String database;
/** table */
public String table;
/** username */
public String username;
/** password */
public String password;
/** host */
public String host;
/** port */
public String port;
/** optimize */
public boolean optimize;
/* INHERITED: Comma-separated list of JSON field paths to exclude from the result, used like: "/3/Frames?_exclude_fields=frames/frame_id/URL,__meta"
* public String _exclude_fields;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/InitIDV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class InitIDV3 extends RequestSchema {
/** Session ID */
public String session_key;
/* INHERITED: Comma-separated list of JSON field paths to exclude from the result, used like: "/3/Frames?_exclude_fields=frames/frame_id/URL,__meta"
* public String _exclude_fields;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/InitialWeightDistribution.java
|
package water.bindings.pojos;
public enum InitialWeightDistribution {
UniformAdaptive,
Uniform,
Normal,
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/Initialization.java
|
package water.bindings.pojos;
public enum Initialization {
Random,
SVD,
PlusPlus,
User,
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/InteractionV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class InteractionV3 extends RequestSchema {
/** destination key */
public FrameKeyV3 dest;
/** Input data frame */
public FrameKeyV3 source_frame;
/** Factor columns */
public String[] factor_columns;
/** Whether to create pairwise quadratic interactions between factors (otherwise create one higher-order interaction). Only applicable if there are 3 or more factors. */
public boolean pairwise;
/** Max. number of factor levels in pair-wise interaction terms (if enforced, one extra catch-all factor will be made) */
public int max_factors;
/** Min. occurrence threshold for factor levels in pair-wise interaction terms */
public int min_occurrence;
/* INHERITED: Comma-separated list of JSON field paths to exclude from the result, used like: "/3/Frames?_exclude_fields=frames/frame_id/URL,__meta"
* public String _exclude_fields;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/IoStatsEntry.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class IoStatsEntry extends Schema {
/** Back end type */
public String backend;
/** Number of store events */
public long store_count;
/** Cumulative stored bytes */
public long store_bytes;
/** Number of delete events */
public long delete_count;
/** Number of load events */
public long load_count;
/** Cumulative loaded bytes */
public long load_bytes;
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/JStackV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class JStackV3 extends RequestSchema {
/** Stacktraces */
public DStackTraceV3[] traces;
/* INHERITED: Comma-separated list of JSON field paths to exclude from the result, used like: "/3/Frames?_exclude_fields=frames/frame_id/URL,__meta"
* public String _exclude_fields;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/JobKeyV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class JobKeyV3 extends KeyV3 {
/* INHERITED: Name (string representation) for this Key.
* public String name;
*/
/* INHERITED: Name (string representation) for the type of Keyed this Key points to.
* public String type;
*/
/* INHERITED: URL for the resource that this Key points to, if one exists.
* public String URL;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/JobV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class JobV3 extends RequestSchema {
/** Job Key */
public JobKeyV3 key;
/** Job description */
public String description;
/** job status */
public String status;
/** progress, from 0 to 1 */
public float progress;
/** current progress status description */
public String progress_msg;
/** Start time */
public long start_time;
/** Runtime in milliseconds */
public long msec;
/** destination key */
public KeyV3 dest;
/** exception */
public String[] warnings;
/** exception */
public String exception;
/** stacktrace */
public String stacktrace;
/* INHERITED: Comma-separated list of JSON field paths to exclude from the result, used like: "/3/Frames?_exclude_fields=frames/frame_id/URL,__meta"
* public String _exclude_fields;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/JobsV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class JobsV3 extends RequestSchema {
/** Optional Job identifier */
public JobKeyV3 job_id;
/** jobs */
public JobV3[] jobs;
/* INHERITED: Comma-separated list of JSON field paths to exclude from the result, used like: "/3/Frames?_exclude_fields=frames/frame_id/URL,__meta"
* public String _exclude_fields;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/KMeansModelOutputV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
import java.util.Map;
public class KMeansModelOutputV3 extends ModelOutputSchema {
/** Cluster Centers[k][features] */
public TwoDimTableV3 centers;
/** Cluster Centers[k][features] on Standardized Data */
public TwoDimTableV3 centers_std;
/* INHERITED: Column names
* public String[] names;
*/
/* INHERITED: Domains for categorical columns
* public String[][] domains;
*/
/* INHERITED: Cross-validation models (model ids)
* public ModelKeyV3[] cross_validation_models;
*/
/* INHERITED: Cross-validation predictions, one per cv model (deprecated, use cross_validation_holdout_predictions_frame_id instead)
* public FrameKeyV3[] cross_validation_predictions;
*/
/* INHERITED: Cross-validation holdout predictions (full out-of-sample predictions on training data)
* public FrameKeyV3 cross_validation_holdout_predictions_frame_id;
*/
/* INHERITED: Cross-validation fold assignment (each row is assigned to one holdout fold)
* public FrameKeyV3 cross_validation_fold_assignment_frame_id;
*/
/* INHERITED: Category of the model (e.g., Binomial)
* public ModelCategory model_category;
*/
/* INHERITED: Model summary
* public TwoDimTableV3 model_summary;
*/
/* INHERITED: Scoring history
* public TwoDimTableV3 scoring_history;
*/
/* INHERITED: Training data model metrics
* public ModelMetricsBase training_metrics;
*/
/* INHERITED: Validation data model metrics
* public ModelMetricsBase validation_metrics;
*/
/* INHERITED: Cross-validation model metrics
* public ModelMetricsBase cross_validation_metrics;
*/
/* INHERITED: Cross-validation model metrics summary
* public TwoDimTableV3 cross_validation_metrics_summary;
*/
/* INHERITED: Job status
* public String status;
*/
/* INHERITED: Start time in milliseconds
* public long start_time;
*/
/* INHERITED: End time in milliseconds
* public long end_time;
*/
/* INHERITED: Runtime in milliseconds
* public long run_time;
*/
/* INHERITED: Help information for output fields
* public Map<String,String> help;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/KMeansModelV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class KMeansModelV3 extends ModelSchema {
/* INHERITED: The build parameters for the model (e.g. K for KMeans).
* public KMeansParametersV3 parameters;
*/
/* INHERITED: The build output for the model (e.g. the cluster centers for KMeans).
* public KMeansModelOutputV3 output;
*/
/* INHERITED: Compatible frames, if requested
* public String[] compatible_frames;
*/
/* INHERITED: Checksum for all the things that go into building the Model.
* public long checksum;
*/
/* INHERITED: Model key
* public ModelKeyV3 model_id;
*/
/* INHERITED: The algo name for this Model.
* public String algo;
*/
/* INHERITED: The pretty algo name for this Model (e.g., Generalized Linear Model, rather than GLM).
* public String algo_full_name;
*/
/* INHERITED: The response column name for this Model (if applicable). Is null otherwise.
* public String response_column_name;
*/
/* INHERITED: The Model's training frame key
* public FrameKeyV3 data_frame;
*/
/* INHERITED: Timestamp for when this model was completed
* public long timestamp;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/KMeansParametersV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class KMeansParametersV3 extends ClusteringModelParametersSchema {
/** User-specified points */
public FrameKeyV3 user_points;
/** Maximum training iterations */
public int max_iterations;
/** Standardize columns */
public boolean standardize;
/** RNG Seed */
public long seed;
/** Initialization mode */
public Initialization init;
/* INHERITED: Number of clusters
* public int k;
*/
/* INHERITED: Destination id for this model; auto-generated if not specified
* public ModelKeyV3 model_id;
*/
/* INHERITED: Training frame
* public FrameKeyV3 training_frame;
*/
/* INHERITED: Validation frame
* public FrameKeyV3 validation_frame;
*/
/* INHERITED: Number of folds for N-fold cross-validation
* public int nfolds;
*/
/* INHERITED: Keep cross-validation model predictions
* public boolean keep_cross_validation_predictions;
*/
/* INHERITED: Keep cross-validation fold assignment
* public boolean keep_cross_validation_fold_assignment;
*/
/* INHERITED: Allow parallel training of cross-validation models
* public boolean parallelize_cross_validation;
*/
/* INHERITED: Response column
* public ColSpecifierV3 response_column;
*/
/* INHERITED: Column with observation weights
* public ColSpecifierV3 weights_column;
*/
/* INHERITED: Offset column
* public ColSpecifierV3 offset_column;
*/
/* INHERITED: Column with cross-validation fold index assignment per observation
* public ColSpecifierV3 fold_column;
*/
/* INHERITED: Cross-validation fold assignment scheme, if fold_column is not specified
* public FoldAssignmentScheme fold_assignment;
*/
/* INHERITED: Ignored columns
* public String[] ignored_columns;
*/
/* INHERITED: Ignore constant columns
* public boolean ignore_const_cols;
*/
/* INHERITED: Whether to score during each iteration of model training
* public boolean score_each_iteration;
*/
/* INHERITED: Model checkpoint to resume training with
* public ModelKeyV3 checkpoint;
*/
/* INHERITED: Early stopping based on convergence of stopping_metric. Stop if simple moving average of length k of the stopping_metric does not improve for k:=stopping_rounds scoring events (0 to disable)
* public int stopping_rounds;
*/
/* INHERITED: Maximum allowed runtime in seconds for model training. Use 0 to disable.
* public double max_runtime_secs;
*/
/* INHERITED: Metric to use for early stopping (AUTO: logloss for classification, deviance for regression)
* public StoppingMetric stopping_metric;
*/
/* INHERITED: Relative tolerance for metric-based stopping criterion (stop if relative improvement is not at least this much)
* public double stopping_tolerance;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/KMeansV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class KMeansV3 extends ClusteringModelBuilderSchema {
/* INHERITED: Model builder parameters.
* public KMeansParametersV3 parameters;
*/
/* INHERITED: The algo name for this ModelBuilder.
* public String algo;
*/
/* INHERITED: The pretty algo name for this ModelBuilder (e.g., Generalized Linear Model, rather than GLM).
* public String algo_full_name;
*/
/* INHERITED: Model categories this ModelBuilder can build.
* public ModelCategory[] can_build;
*/
/* INHERITED: Should the builder always be visible, be marked as beta, or only visible if the user starts up with the experimental flag?
* public BuilderVisibility visibility;
*/
/* INHERITED: Job Key
* public JobV3 job;
*/
/* INHERITED: Parameter validation messages
* public ValidationMessageV3[] messages;
*/
/* INHERITED: Count of parameter validation errors
* public int error_count;
*/
/* INHERITED: HTTP status to return for this build.
* public int __http_status;
*/
/* INHERITED: Comma-separated list of JSON field paths to exclude from the result, used like: "/3/Frames?_exclude_fields=frames/frame_id/URL,__meta"
* public String _exclude_fields;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/KeyV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class KeyV3 extends Schema {
/** Name (string representation) for this Key. */
public String name;
/** Name (string representation) for the type of Keyed this Key points to. */
public String type;
/** URL for the resource that this Key points to, if one exists. */
public String URL;
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/KillMinus3V3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class KillMinus3V3 extends RequestSchema {
/* INHERITED: Comma-separated list of JSON field paths to exclude from the result, used like: "/3/Frames?_exclude_fields=frames/frame_id/URL,__meta"
* public String _exclude_fields;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/Level.java
|
package water.bindings.pojos;
public enum Level {
critical,
secondary,
expert,
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/Link.java
|
package water.bindings.pojos;
public enum Link {
family_default,
identity,
logit,
log,
inverse,
tweedie,
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/LogAndEchoV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class LogAndEchoV3 extends RequestSchema {
/** Message to be Logged and Echoed */
public String message;
/* INHERITED: Comma-separated list of JSON field paths to exclude from the result, used like: "/3/Frames?_exclude_fields=frames/frame_id/URL,__meta"
* public String _exclude_fields;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/LogsV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class LogsV3 extends RequestSchema {
/** Index of node to query ticks for (0-based). -1 means current node. */
public int nodeidx;
/** Which specific log file to read from the log file directory. If left unspecified, the system chooses a default for you. */
public String name;
/** Content of log file */
public String log;
/* INHERITED: Comma-separated list of JSON field paths to exclude from the result, used like: "/3/Frames?_exclude_fields=frames/frame_id/URL,__meta"
* public String _exclude_fields;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/Loss.java
|
package water.bindings.pojos;
public enum Loss {
Quadratic,
Absolute,
Huber,
Poisson,
Hinge,
Logistic,
Periodic,
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/MakeGLMModelV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class MakeGLMModelV3 extends Schema {
/** source model */
public ModelKeyV3 model;
/** destination key */
public ModelKeyV3 dest;
/** coefficient names */
public String[] names;
/** new glm coefficients */
public double[] beta;
/** decision threshold for label-generation */
public float threshold;
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/MetadataBase.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class MetadataBase extends RequestSchema {
/** Number for specifying an endpoint */
public int num;
/** HTTP method (GET, POST, DELETE) if fetching by path */
public String http_method;
/** Path for specifying an endpoint */
public String path;
/** Class name, for fetching docs for a schema (DEPRECATED) */
public String classname;
/** Schema name (e.g., DocsV1), for fetching docs for a schema */
public String schemaname;
/** List of endpoint routes */
public RouteBase[] routes;
/** List of schemas */
public SchemaMetadataBase[] schemas;
/** Table of Contents Markdown */
public String markdown;
/* INHERITED: Comma-separated list of JSON field paths to exclude from the result, used like: "/3/Frames?_exclude_fields=frames/frame_id/URL,__meta"
* public String _exclude_fields;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/MetadataV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class MetadataV3 extends MetadataBase {
/* INHERITED: Number for specifying an endpoint
* public int num;
*/
/* INHERITED: HTTP method (GET, POST, DELETE) if fetching by path
* public String http_method;
*/
/* INHERITED: Path for specifying an endpoint
* public String path;
*/
/* INHERITED: Class name, for fetching docs for a schema (DEPRECATED)
* public String classname;
*/
/* INHERITED: Schema name (e.g., DocsV1), for fetching docs for a schema
* public String schemaname;
*/
/* INHERITED: List of endpoint routes
* public RouteV3[] routes;
*/
/* INHERITED: List of schemas
* public SchemaMetadataV3[] schemas;
*/
/* INHERITED: Table of Contents Markdown
* public String markdown;
*/
/* INHERITED: Comma-separated list of JSON field paths to exclude from the result, used like: "/3/Frames?_exclude_fields=frames/frame_id/URL,__meta"
* public String _exclude_fields;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/Method.java
|
package water.bindings.pojos;
public enum Method {
GramSVD,
Power,
Randomized,
GLRM,
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/MissingInserterV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class MissingInserterV3 extends RequestSchema {
/** dataset */
public FrameKeyV3 dataset;
/** Fraction of data to replace with a missing value */
public double fraction;
/** Seed */
public long seed;
/* INHERITED: Comma-separated list of JSON field paths to exclude from the result, used like: "/3/Frames?_exclude_fields=frames/frame_id/URL,__meta"
* public String _exclude_fields;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/MissingValuesHandling.java
|
package water.bindings.pojos;
public enum MissingValuesHandling {
Skip,
MeanImputation,
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/ModelBuilderSchema.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class ModelBuilderSchema extends RequestSchema {
/** Model builder parameters. */
public ModelParametersSchema parameters;
/** The algo name for this ModelBuilder. */
public String algo;
/** The pretty algo name for this ModelBuilder (e.g., Generalized Linear Model, rather than GLM). */
public String algo_full_name;
/** Model categories this ModelBuilder can build. */
public ModelCategory[] can_build;
/** Should the builder always be visible, be marked as beta, or only visible if the user starts up with the experimental flag? */
public BuilderVisibility visibility;
/** Job Key */
public JobV3 job;
/** Parameter validation messages */
public ValidationMessageBase[] messages;
/** Count of parameter validation errors */
public int error_count;
/** HTTP status to return for this build. */
public int __http_status;
/* INHERITED: Comma-separated list of JSON field paths to exclude from the result, used like: "/3/Frames?_exclude_fields=frames/frame_id/URL,__meta"
* public String _exclude_fields;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/ModelBuilderV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class ModelBuilderV3 extends Schema {
/** Model builder parameters. */
public ModelParametersSchema parameters;
/** Info, warning and error messages; NOTE: can be appended to while the Job is running */
public ValidationMessageV3[] messages;
/** Count of error messages */
public int error_count;
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/ModelBuildersBase.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
import java.util.Map;
public class ModelBuildersBase extends RequestSchema {
/** Algo of ModelBuilder of interest */
public String algo;
/** ModelBuilders */
public Map<String,ModelBuilderSchema> model_builders;
/* INHERITED: Comma-separated list of JSON field paths to exclude from the result, used like: "/3/Frames?_exclude_fields=frames/frame_id/URL,__meta"
* public String _exclude_fields;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/ModelBuildersV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
import java.util.Map;
public class ModelBuildersV3 extends ModelBuildersBase {
/* INHERITED: Algo of ModelBuilder of interest
* public String algo;
*/
/* INHERITED: ModelBuilders
* public Map<String,ModelBuilderSchema> model_builders;
*/
/* INHERITED: Comma-separated list of JSON field paths to exclude from the result, used like: "/3/Frames?_exclude_fields=frames/frame_id/URL,__meta"
* public String _exclude_fields;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/ModelCategory.java
|
package water.bindings.pojos;
public enum ModelCategory {
Unknown,
Binomial,
Multinomial,
Regression,
Clustering,
AutoEncoder,
DimReduction,
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/ModelExportV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class ModelExportV3 extends RequestSchema {
/** Name of Model of interest */
public ModelKeyV3 model_id;
/** Destination file (hdfs, s3, local) */
public String dir;
/** Overwrite destination file in case it exists or throw exception if set to false. */
public boolean force;
/* INHERITED: Comma-separated list of JSON field paths to exclude from the result, used like: "/3/Frames?_exclude_fields=frames/frame_id/URL,__meta"
* public String _exclude_fields;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/ModelIdV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class ModelIdV3 extends Schema {
/** Model ID */
public String model_id;
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/ModelImportV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class ModelImportV3 extends RequestSchema {
/** Save imported model under given key into DKV. */
public ModelKeyV3 model_id;
/** Source directory (hdfs, s3, local) containing serialized model */
public String dir;
/** Override existing model in case it exists or throw exception if set to false */
public boolean force;
/* INHERITED: Comma-separated list of JSON field paths to exclude from the result, used like: "/3/Frames?_exclude_fields=frames/frame_id/URL,__meta"
* public String _exclude_fields;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/ModelKeyV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class ModelKeyV3 extends KeyV3 {
/* INHERITED: Name (string representation) for this Key.
* public String name;
*/
/* INHERITED: Name (string representation) for the type of Keyed this Key points to.
* public String type;
*/
/* INHERITED: URL for the resource that this Key points to, if one exists.
* public String URL;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/ModelMetricsAutoEncoderV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class ModelMetricsAutoEncoderV3 extends ModelMetricsBase {
/* INHERITED: The model used for this scoring run.
* public ModelKeyV3 model;
*/
/* INHERITED: The checksum for the model used for this scoring run.
* public long model_checksum;
*/
/* INHERITED: The frame used for this scoring run.
* public FrameKeyV3 frame;
*/
/* INHERITED: The checksum for the frame used for this scoring run.
* public long frame_checksum;
*/
/* INHERITED: Optional description for this scoring run (to note out-of-bag, sampled data, etc.)
* public String description;
*/
/* INHERITED: The category (e.g., Clustering) for the model used for this scoring run.
* public ModelCategory model_category;
*/
/* INHERITED: The time in mS since the epoch for the start of this scoring run.
* public long scoring_time;
*/
/* INHERITED: Predictions Frame.
* public FrameV3 predictions;
*/
/* INHERITED: The Mean Squared Error of the prediction for this scoring run.
* public double MSE;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/ModelMetricsBase.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class ModelMetricsBase extends Schema {
/** The model used for this scoring run. */
public ModelKeyV3 model;
/** The checksum for the model used for this scoring run. */
public long model_checksum;
/** The frame used for this scoring run. */
public FrameKeyV3 frame;
/** The checksum for the frame used for this scoring run. */
public long frame_checksum;
/** Optional description for this scoring run (to note out-of-bag, sampled data, etc.) */
public String description;
/** The category (e.g., Clustering) for the model used for this scoring run. */
public ModelCategory model_category;
/** The time in mS since the epoch for the start of this scoring run. */
public long scoring_time;
/** Predictions Frame. */
public FrameV3 predictions;
/** The Mean Squared Error of the prediction for this scoring run. */
public double MSE;
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/ModelMetricsBinomialGLMV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class ModelMetricsBinomialGLMV3 extends ModelMetricsBinomialV3 {
/** residual deviance */
public double residual_deviance;
/** null deviance */
public double null_deviance;
/** AIC */
public double AIC;
/** null DOF */
public long null_degrees_of_freedom;
/** residual DOF */
public long residual_degrees_of_freedom;
/* INHERITED: The R^2 for this scoring run.
* public double r2;
*/
/* INHERITED: The logarithmic loss for this scoring run.
* public double logloss;
*/
/* INHERITED: The AUC for this scoring run.
* public double AUC;
*/
/* INHERITED: The Gini score for this scoring run.
* public double Gini;
*/
/* INHERITED: The class labels of the response.
* public String[] domain;
*/
/* INHERITED: The Metrics for various thresholds.
* public TwoDimTableV3 thresholds_and_metric_scores;
*/
/* INHERITED: The Metrics for various criteria.
* public TwoDimTableV3 max_criteria_and_metric_scores;
*/
/* INHERITED: Gains and Lift table.
* public TwoDimTableV3 gains_lift_table;
*/
/* INHERITED: The model used for this scoring run.
* public ModelKeyV3 model;
*/
/* INHERITED: The checksum for the model used for this scoring run.
* public long model_checksum;
*/
/* INHERITED: The frame used for this scoring run.
* public FrameKeyV3 frame;
*/
/* INHERITED: The checksum for the frame used for this scoring run.
* public long frame_checksum;
*/
/* INHERITED: Optional description for this scoring run (to note out-of-bag, sampled data, etc.)
* public String description;
*/
/* INHERITED: The category (e.g., Clustering) for the model used for this scoring run.
* public ModelCategory model_category;
*/
/* INHERITED: The time in mS since the epoch for the start of this scoring run.
* public long scoring_time;
*/
/* INHERITED: Predictions Frame.
* public FrameV3 predictions;
*/
/* INHERITED: The Mean Squared Error of the prediction for this scoring run.
* public double MSE;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/ModelMetricsBinomialV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class ModelMetricsBinomialV3 extends ModelMetricsBase {
/** The R^2 for this scoring run. */
public double r2;
/** The logarithmic loss for this scoring run. */
public double logloss;
/** The AUC for this scoring run. */
public double AUC;
/** The Gini score for this scoring run. */
public double Gini;
/** The class labels of the response. */
public String[] domain;
/** The Metrics for various thresholds. */
public TwoDimTableV3 thresholds_and_metric_scores;
/** The Metrics for various criteria. */
public TwoDimTableV3 max_criteria_and_metric_scores;
/** Gains and Lift table. */
public TwoDimTableV3 gains_lift_table;
/* INHERITED: The model used for this scoring run.
* public ModelKeyV3 model;
*/
/* INHERITED: The checksum for the model used for this scoring run.
* public long model_checksum;
*/
/* INHERITED: The frame used for this scoring run.
* public FrameKeyV3 frame;
*/
/* INHERITED: The checksum for the frame used for this scoring run.
* public long frame_checksum;
*/
/* INHERITED: Optional description for this scoring run (to note out-of-bag, sampled data, etc.)
* public String description;
*/
/* INHERITED: The category (e.g., Clustering) for the model used for this scoring run.
* public ModelCategory model_category;
*/
/* INHERITED: The time in mS since the epoch for the start of this scoring run.
* public long scoring_time;
*/
/* INHERITED: Predictions Frame.
* public FrameV3 predictions;
*/
/* INHERITED: The Mean Squared Error of the prediction for this scoring run.
* public double MSE;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/ModelMetricsClusteringV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class ModelMetricsClusteringV3 extends ModelMetricsBase {
/** Within Cluster Sum of Square Error */
public double tot_withinss;
/** Total Sum of Square Error to Grand Mean */
public double totss;
/** Between Cluster Sum of Square Error */
public double betweenss;
/** Centroid Statistics */
public TwoDimTableV3 centroid_stats;
/* INHERITED: The model used for this scoring run.
* public ModelKeyV3 model;
*/
/* INHERITED: The checksum for the model used for this scoring run.
* public long model_checksum;
*/
/* INHERITED: The frame used for this scoring run.
* public FrameKeyV3 frame;
*/
/* INHERITED: The checksum for the frame used for this scoring run.
* public long frame_checksum;
*/
/* INHERITED: Optional description for this scoring run (to note out-of-bag, sampled data, etc.)
* public String description;
*/
/* INHERITED: The category (e.g., Clustering) for the model used for this scoring run.
* public ModelCategory model_category;
*/
/* INHERITED: The time in mS since the epoch for the start of this scoring run.
* public long scoring_time;
*/
/* INHERITED: Predictions Frame.
* public FrameV3 predictions;
*/
/* INHERITED: The Mean Squared Error of the prediction for this scoring run.
* public double MSE;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/ModelMetricsGLRMV99.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class ModelMetricsGLRMV99 extends ModelMetricsBase {
/** Sum of Squared Error (Numeric Cols) */
public double numerr;
/** Misclassification Error (Categorical Cols) */
public double caterr;
/** Number of Non-Missing Numeric Values */
public long numcnt;
/** Number of Non-Missing Categorical Values */
public long catcnt;
/* INHERITED: The model used for this scoring run.
* public ModelKeyV3 model;
*/
/* INHERITED: The checksum for the model used for this scoring run.
* public long model_checksum;
*/
/* INHERITED: The frame used for this scoring run.
* public FrameKeyV3 frame;
*/
/* INHERITED: The checksum for the frame used for this scoring run.
* public long frame_checksum;
*/
/* INHERITED: Optional description for this scoring run (to note out-of-bag, sampled data, etc.)
* public String description;
*/
/* INHERITED: The category (e.g., Clustering) for the model used for this scoring run.
* public ModelCategory model_category;
*/
/* INHERITED: The time in mS since the epoch for the start of this scoring run.
* public long scoring_time;
*/
/* INHERITED: Predictions Frame.
* public FrameV3 predictions;
*/
/* INHERITED: The Mean Squared Error of the prediction for this scoring run.
* public double MSE;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/ModelMetricsListSchemaV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class ModelMetricsListSchemaV3 extends RequestSchema {
/** Key of Model of interest (optional) */
public ModelKeyV3 model;
/** Key of Frame of interest (optional) */
public FrameKeyV3 frame;
/** Key of predictions frame, if predictions are requested (optional) */
public FrameKeyV3 predictions_frame;
/** Compute reconstruction error (optional, only for Deep Learning AutoEncoder models) */
public boolean reconstruction_error;
/** Compute reconstruction error per feature (optional, only for Deep Learning AutoEncoder models) */
public boolean reconstruction_error_per_feature;
/** Extract Deep Features for given hidden layer (optional, only for Deep Learning models) */
public int deep_features_hidden_layer;
/** Reconstruct original training frame (optional, only for GLRM models) */
public boolean reconstruct_train;
/** Project GLRM archetypes back into original feature space (optional, only for GLRM models) */
public boolean project_archetypes;
/** Reverse transformation applied during training to model output (optional, only for GLRM models) */
public boolean reverse_transform;
/** Return the leaf node assignment (optional, only for DRF/GBM models) */
public boolean leaf_node_assignment;
/** ModelMetrics */
public ModelMetricsBase[] model_metrics;
/* INHERITED: Comma-separated list of JSON field paths to exclude from the result, used like: "/3/Frames?_exclude_fields=frames/frame_id/URL,__meta"
* public String _exclude_fields;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/ModelMetricsMultinomialGLMV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class ModelMetricsMultinomialGLMV3 extends ModelMetricsMultinomialV3 {
/** residual deviance */
public double residual_deviance;
/** null deviance */
public double null_deviance;
/** AIC */
public double AIC;
/** null DOF */
public long null_degrees_of_freedom;
/** residual DOF */
public long residual_degrees_of_freedom;
/* INHERITED: The R^2 for this scoring run.
* public double r2;
*/
/* INHERITED: The hit ratio table for this scoring run.
* public TwoDimTableV3 hit_ratio_table;
*/
/* INHERITED: The ConfusionMatrix object for this scoring run.
* public ConfusionMatrixV3 cm;
*/
/* INHERITED: The logarithmic loss for this scoring run.
* public double logloss;
*/
/* INHERITED: The model used for this scoring run.
* public ModelKeyV3 model;
*/
/* INHERITED: The checksum for the model used for this scoring run.
* public long model_checksum;
*/
/* INHERITED: The frame used for this scoring run.
* public FrameKeyV3 frame;
*/
/* INHERITED: The checksum for the frame used for this scoring run.
* public long frame_checksum;
*/
/* INHERITED: Optional description for this scoring run (to note out-of-bag, sampled data, etc.)
* public String description;
*/
/* INHERITED: The category (e.g., Clustering) for the model used for this scoring run.
* public ModelCategory model_category;
*/
/* INHERITED: The time in mS since the epoch for the start of this scoring run.
* public long scoring_time;
*/
/* INHERITED: Predictions Frame.
* public FrameV3 predictions;
*/
/* INHERITED: The Mean Squared Error of the prediction for this scoring run.
* public double MSE;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/ModelMetricsMultinomialV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class ModelMetricsMultinomialV3 extends ModelMetricsBase {
/** The R^2 for this scoring run. */
public double r2;
/** The hit ratio table for this scoring run. */
public TwoDimTableV3 hit_ratio_table;
/** The ConfusionMatrix object for this scoring run. */
public ConfusionMatrixV3 cm;
/** The logarithmic loss for this scoring run. */
public double logloss;
/* INHERITED: The model used for this scoring run.
* public ModelKeyV3 model;
*/
/* INHERITED: The checksum for the model used for this scoring run.
* public long model_checksum;
*/
/* INHERITED: The frame used for this scoring run.
* public FrameKeyV3 frame;
*/
/* INHERITED: The checksum for the frame used for this scoring run.
* public long frame_checksum;
*/
/* INHERITED: Optional description for this scoring run (to note out-of-bag, sampled data, etc.)
* public String description;
*/
/* INHERITED: The category (e.g., Clustering) for the model used for this scoring run.
* public ModelCategory model_category;
*/
/* INHERITED: The time in mS since the epoch for the start of this scoring run.
* public long scoring_time;
*/
/* INHERITED: Predictions Frame.
* public FrameV3 predictions;
*/
/* INHERITED: The Mean Squared Error of the prediction for this scoring run.
* public double MSE;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/ModelMetricsPCAV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class ModelMetricsPCAV3 extends ModelMetricsBase {
/* INHERITED: The model used for this scoring run.
* public ModelKeyV3 model;
*/
/* INHERITED: The checksum for the model used for this scoring run.
* public long model_checksum;
*/
/* INHERITED: The frame used for this scoring run.
* public FrameKeyV3 frame;
*/
/* INHERITED: The checksum for the frame used for this scoring run.
* public long frame_checksum;
*/
/* INHERITED: Optional description for this scoring run (to note out-of-bag, sampled data, etc.)
* public String description;
*/
/* INHERITED: The category (e.g., Clustering) for the model used for this scoring run.
* public ModelCategory model_category;
*/
/* INHERITED: The time in mS since the epoch for the start of this scoring run.
* public long scoring_time;
*/
/* INHERITED: Predictions Frame.
* public FrameV3 predictions;
*/
/* INHERITED: The Mean Squared Error of the prediction for this scoring run.
* public double MSE;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/ModelMetricsRegressionGLMV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class ModelMetricsRegressionGLMV3 extends ModelMetricsRegressionV3 {
/** residual deviance */
public double residual_deviance;
/** null deviance */
public double null_deviance;
/** AIC */
public double AIC;
/** null DOF */
public long null_degrees_of_freedom;
/** residual DOF */
public long residual_degrees_of_freedom;
/* INHERITED: The R^2 for this scoring run.
* public double r2;
*/
/* INHERITED: The mean residual deviance for this scoring run.
* public double mean_residual_deviance;
*/
/* INHERITED: The model used for this scoring run.
* public ModelKeyV3 model;
*/
/* INHERITED: The checksum for the model used for this scoring run.
* public long model_checksum;
*/
/* INHERITED: The frame used for this scoring run.
* public FrameKeyV3 frame;
*/
/* INHERITED: The checksum for the frame used for this scoring run.
* public long frame_checksum;
*/
/* INHERITED: Optional description for this scoring run (to note out-of-bag, sampled data, etc.)
* public String description;
*/
/* INHERITED: The category (e.g., Clustering) for the model used for this scoring run.
* public ModelCategory model_category;
*/
/* INHERITED: The time in mS since the epoch for the start of this scoring run.
* public long scoring_time;
*/
/* INHERITED: Predictions Frame.
* public FrameV3 predictions;
*/
/* INHERITED: The Mean Squared Error of the prediction for this scoring run.
* public double MSE;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/ModelMetricsRegressionV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class ModelMetricsRegressionV3 extends ModelMetricsBase {
/** The R^2 for this scoring run. */
public double r2;
/** The mean residual deviance for this scoring run. */
public double mean_residual_deviance;
/* INHERITED: The model used for this scoring run.
* public ModelKeyV3 model;
*/
/* INHERITED: The checksum for the model used for this scoring run.
* public long model_checksum;
*/
/* INHERITED: The frame used for this scoring run.
* public FrameKeyV3 frame;
*/
/* INHERITED: The checksum for the frame used for this scoring run.
* public long frame_checksum;
*/
/* INHERITED: Optional description for this scoring run (to note out-of-bag, sampled data, etc.)
* public String description;
*/
/* INHERITED: The category (e.g., Clustering) for the model used for this scoring run.
* public ModelCategory model_category;
*/
/* INHERITED: The time in mS since the epoch for the start of this scoring run.
* public long scoring_time;
*/
/* INHERITED: Predictions Frame.
* public FrameV3 predictions;
*/
/* INHERITED: The Mean Squared Error of the prediction for this scoring run.
* public double MSE;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/ModelMetricsSVDV99.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class ModelMetricsSVDV99 extends ModelMetricsBase {
/* INHERITED: The model used for this scoring run.
* public ModelKeyV3 model;
*/
/* INHERITED: The checksum for the model used for this scoring run.
* public long model_checksum;
*/
/* INHERITED: The frame used for this scoring run.
* public FrameKeyV3 frame;
*/
/* INHERITED: The checksum for the frame used for this scoring run.
* public long frame_checksum;
*/
/* INHERITED: Optional description for this scoring run (to note out-of-bag, sampled data, etc.)
* public String description;
*/
/* INHERITED: The category (e.g., Clustering) for the model used for this scoring run.
* public ModelCategory model_category;
*/
/* INHERITED: The time in mS since the epoch for the start of this scoring run.
* public long scoring_time;
*/
/* INHERITED: Predictions Frame.
* public FrameV3 predictions;
*/
/* INHERITED: The Mean Squared Error of the prediction for this scoring run.
* public double MSE;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/ModelOutputSchema.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
import java.util.Map;
public class ModelOutputSchema extends Schema {
/** Column names */
public String[] names;
/** Domains for categorical columns */
public String[][] domains;
/** Cross-validation models (model ids) */
public ModelKeyV3[] cross_validation_models;
/** Cross-validation predictions, one per cv model (deprecated, use cross_validation_holdout_predictions_frame_id instead) */
public FrameKeyV3[] cross_validation_predictions;
/** Cross-validation holdout predictions (full out-of-sample predictions on training data) */
public FrameKeyV3 cross_validation_holdout_predictions_frame_id;
/** Cross-validation fold assignment (each row is assigned to one holdout fold) */
public FrameKeyV3 cross_validation_fold_assignment_frame_id;
/** Category of the model (e.g., Binomial) */
public ModelCategory model_category;
/** Model summary */
public TwoDimTableBase model_summary;
/** Scoring history */
public TwoDimTableBase scoring_history;
/** Training data model metrics */
public ModelMetricsBase training_metrics;
/** Validation data model metrics */
public ModelMetricsBase validation_metrics;
/** Cross-validation model metrics */
public ModelMetricsBase cross_validation_metrics;
/** Cross-validation model metrics summary */
public TwoDimTableBase cross_validation_metrics_summary;
/** Job status */
public String status;
/** Start time in milliseconds */
public long start_time;
/** End time in milliseconds */
public long end_time;
/** Runtime in milliseconds */
public long run_time;
/** Help information for output fields */
public Map<String,String> help;
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/ModelParameterSchemaV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class ModelParameterSchemaV3 extends Schema {
/** name in the JSON, e.g. "lambda" */
public String name;
/** label in the UI, e.g. "lambda" */
public String label;
/** help for the UI, e.g. "regularization multiplier, typically used for foo bar baz etc." */
public String help;
/** the field is required */
public boolean required;
/** Java type, e.g. "double" */
public String type;
/** default value, e.g. 1 */
public Object default_value;
/** actual value as set by the user and / or modified by the ModelBuilder, e.g., 10 */
public Object actual_value;
/** the importance of the parameter, used by the UI, e.g. "critical", "extended" or "expert" */
public String level;
/** list of valid values for use by the front-end */
public String[] values;
/** For Vec-type fields this is the set of other Vec-type fields which must contain mutually exclusive values; for example, for a SupervisedModel the response_column must be mutually exclusive with the weights_column */
public String[] is_member_of_frames;
/** For Vec-type fields this is the set of Frame-type fields which must contain the named column; for example, for a SupervisedModel the response_column must be in both the training_frame and (if it's set) the validation_frame */
public String[] is_mutually_exclusive_with;
/** Parameter can be used in grid call */
public boolean gridable;
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/ModelParametersSchema.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class ModelParametersSchema extends Schema {
/** Destination id for this model; auto-generated if not specified */
public ModelKeyV3 model_id;
/** Training frame */
public FrameKeyV3 training_frame;
/** Validation frame */
public FrameKeyV3 validation_frame;
/** Number of folds for N-fold cross-validation */
public int nfolds;
/** Keep cross-validation model predictions */
public boolean keep_cross_validation_predictions;
/** Keep cross-validation fold assignment */
public boolean keep_cross_validation_fold_assignment;
/** Allow parallel training of cross-validation models */
public boolean parallelize_cross_validation;
/** Response column */
public ColSpecifierV3 response_column;
/** Column with observation weights */
public ColSpecifierV3 weights_column;
/** Offset column */
public ColSpecifierV3 offset_column;
/** Column with cross-validation fold index assignment per observation */
public ColSpecifierV3 fold_column;
/** Cross-validation fold assignment scheme, if fold_column is not specified */
public FoldAssignmentScheme fold_assignment;
/** Ignored columns */
public String[] ignored_columns;
/** Ignore constant columns */
public boolean ignore_const_cols;
/** Whether to score during each iteration of model training */
public boolean score_each_iteration;
/** Model checkpoint to resume training with */
public ModelKeyV3 checkpoint;
/** Early stopping based on convergence of stopping_metric. Stop if simple moving average of length k of the stopping_metric does not improve for k:=stopping_rounds scoring events (0 to disable) */
public int stopping_rounds;
/** Maximum allowed runtime in seconds for model training. Use 0 to disable. */
public double max_runtime_secs;
/** Metric to use for early stopping (AUTO: logloss for classification, deviance for regression) */
public StoppingMetric stopping_metric;
/** Relative tolerance for metric-based stopping criterion (stop if relative improvement is not at least this much) */
public double stopping_tolerance;
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/ModelSchema.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class ModelSchema extends ModelSchemaBase {
/** The build parameters for the model (e.g. K for KMeans). */
public ModelParametersSchema parameters;
/** The build output for the model (e.g. the cluster centers for KMeans). */
public ModelOutputSchema output;
/** Compatible frames, if requested */
public String[] compatible_frames;
/** Checksum for all the things that go into building the Model. */
public long checksum;
/* INHERITED: Model key
* public ModelKeyV3 model_id;
*/
/* INHERITED: The algo name for this Model.
* public String algo;
*/
/* INHERITED: The pretty algo name for this Model (e.g., Generalized Linear Model, rather than GLM).
* public String algo_full_name;
*/
/* INHERITED: The response column name for this Model (if applicable). Is null otherwise.
* public String response_column_name;
*/
/* INHERITED: The Model's training frame key
* public FrameKeyV3 data_frame;
*/
/* INHERITED: Timestamp for when this model was completed
* public long timestamp;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/ModelSchemaBase.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class ModelSchemaBase extends Schema {
/** Model key */
public ModelKeyV3 model_id;
/** The algo name for this Model. */
public String algo;
/** The pretty algo name for this Model (e.g., Generalized Linear Model, rather than GLM). */
public String algo_full_name;
/** The response column name for this Model (if applicable). Is null otherwise. */
public String response_column_name;
/** The Model's training frame key */
public FrameKeyV3 data_frame;
/** Timestamp for when this model was completed */
public long timestamp;
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/ModelSynopsisV3.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class ModelSynopsisV3 extends ModelSchemaBase {
/* INHERITED: Model key
* public ModelKeyV3 model_id;
*/
/* INHERITED: The algo name for this Model.
* public String algo;
*/
/* INHERITED: The pretty algo name for this Model (e.g., Generalized Linear Model, rather than GLM).
* public String algo_full_name;
*/
/* INHERITED: The response column name for this Model (if applicable). Is null otherwise.
* public String response_column_name;
*/
/* INHERITED: The Model's training frame key
* public FrameKeyV3 data_frame;
*/
/* INHERITED: Timestamp for when this model was completed
* public long timestamp;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
0
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings
|
java-sources/ai/h2o/h2o-java-rest-bindings/3.8.2.11/water/bindings/pojos/ModelsBase.java
|
package water.bindings.pojos;
import com.google.gson.Gson;
public class ModelsBase extends RequestSchema {
/** Name of Model of interest */
public ModelKeyV3 model_id;
/** Return potentially abridged model suitable for viewing in a browser */
public boolean preview;
/** Find and return compatible frames? */
public boolean find_compatible_frames;
/** Models */
public ModelSchemaBase[] models;
/** Compatible frames */
public FrameV3[] compatible_frames;
/* INHERITED: Comma-separated list of JSON field paths to exclude from the result, used like: "/3/Frames?_exclude_fields=frames/frame_id/URL,__meta"
* public String _exclude_fields;
*/
/** Return the contents of this object as a JSON String. */
@Override
public String toString() {
return new Gson().toJson(this);
}
}
|
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