Merge branch 'main' of https://huggingface.co/MasumBhuiyan/linear-regression
Browse files
README.md
CHANGED
|
@@ -8,4 +8,38 @@ metrics:
|
|
| 8 |
- accuracy
|
| 9 |
library_name: keras
|
| 10 |
pipeline_tag: tabular-regression
|
| 11 |
-
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 8 |
- accuracy
|
| 9 |
library_name: keras
|
| 10 |
pipeline_tag: tabular-regression
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
# Model Card for Linear regression
|
| 14 |
+
|
| 15 |
+
This is a model card for linear regression. It should contain all the necessary documentation to use, reproduce the model easily.
|
| 16 |
+
|
| 17 |
+
## Installations
|
| 18 |
+
|
| 19 |
+
Describe the steps required to run your code on a local machine.
|
| 20 |
+
|
| 21 |
+
## Model Architecture
|
| 22 |
+
|
| 23 |
+
Write about the architecture of the model
|
| 24 |
+
|
| 25 |
+
## Dataset
|
| 26 |
+
|
| 27 |
+
Describe your dataset. How you prepared your dataset for training.
|
| 28 |
+
|
| 29 |
+
## Training strategy
|
| 30 |
+
|
| 31 |
+
How you trained your model.
|
| 32 |
+
|
| 33 |
+
## Evaluation techniques
|
| 34 |
+
|
| 35 |
+
Evaluation techniques for your model.
|
| 36 |
+
|
| 37 |
+
## Result analysis
|
| 38 |
+
|
| 39 |
+
Write the result of your experiment. Discuss the success cases and fail cases.
|
| 40 |
+
|
| 41 |
+
## Usage
|
| 42 |
+
|
| 43 |
+
Give code examples how to use you inference endpoints or fine tune the mode.
|
| 44 |
+
|
| 45 |
+
## License
|