|
759 | 759 | " )\n",
|
760 | 760 | "\n",
|
761 | 761 | " full_training_data = pd.concat([y_train.reset_index(drop=True), x_train.reset_index(drop=True)], axis=1)\n",
|
762 |
| - "\n", |
763 |
| - " pzmm.JSONFiles.generate_model_card(\n", |
764 |
| - " model_prefix=prefix,\n", |
765 |
| - " model_files = path,\n", |
766 |
| - " algorithm = str(type(model).__name__),\n", |
767 |
| - " train_data = full_training_data,\n", |
768 |
| - " train_predictions=train_predict,\n", |
769 |
| - " target_type='classification',\n", |
770 |
| - " target_value=1,\n", |
771 |
| - " interval_vars=predictor_columns,\n", |
772 |
| - " selection_statistic='_RASE_',\n", |
773 |
| - " )\n", |
774 | 762 | " \n",
|
775 | 763 | "username = getpass.getpass()\n",
|
776 | 764 | "password = getpass.getpass()\n",
|
|
839 | 827 | }
|
840 | 828 | ],
|
841 | 829 | "metadata": {
|
842 |
| - "interpreter": { |
843 |
| - "hash": "f9708d3f38eeab835578f0695c8890716ee809285281a28db6e379a5abca1310" |
844 |
| - }, |
845 | 830 | "kernelspec": {
|
846 |
| - "display_name": "dev-py38", |
| 831 | + "display_name": "pandatwo", |
847 | 832 | "language": "python",
|
848 |
| - "name": "dev-py38" |
| 833 | + "name": "python3" |
849 | 834 | },
|
850 | 835 | "language_info": {
|
851 | 836 | "codemirror_mode": {
|
|
857 | 842 | "name": "python",
|
858 | 843 | "nbconvert_exporter": "python",
|
859 | 844 | "pygments_lexer": "ipython3",
|
860 |
| - "version": "3.8.16" |
| 845 | + "version": "3.9.18" |
861 | 846 | },
|
862 | 847 | "latex_envs": {
|
863 | 848 | "LaTeX_envs_menu_present": true,
|
|
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