| datasets: | |
| - scikit-learn/auto-mpg | |
| language: | |
| - en | |
| library_name: tf-keras | |
| license: mit | |
| metrics: | |
| - accuracy | |
| pipeline_tag: tabular-regression | |
| # 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 |