
# Model Card for Linear regression

This is a model card for linear regression. It should contain all the necessary documentation to use, reproduce the model easily.

## Installations

Describe the steps required to run your code on a local machine.

## Model Architecture

Write about the architecture of the model

## Dataset

Describe your dataset. How you prepared your dataset for training.

## Training strategy

How you trained your model.

## Evaluation techniques

Evaluation techniques for your model.

## Result analysis

Write the result of your experiment. Discuss the success cases and fail cases.

## Usage

Give code examples how to use you inference endpoints or fine tune the mode.

## License
{"language": ["en"], "license": "mit", "library_name": "keras", "datasets": ["scikit-learn/auto-mpg"], "metrics": ["accuracy"], "pipeline_tag": "tabular-regression"}
keras AlbertConfig tabular-regression en dataset:scikit-learn/auto-mpg license:mit region:us