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Commit 1e331ba5 authored by ROSPARS Benoit's avatar ROSPARS Benoit
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Add figures to json

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......@@ -35,6 +35,6 @@ fetch(`${apiUrl}/datasets`)
return response_wrapups.json()
}).then(function(data_wrapups) {
wrapups = data_wrapups.map(item => item.path.replace('.md', '.ipynb'))
console.log(JSON.stringify({baseUrl, notebooks, datasets, wrapups}, null, 2))
console.log(JSON.stringify({baseUrl, notebooks, datasets, wrapups, figures}, null, 2))
});
```
......@@ -82,7 +82,152 @@
"wrapups": [
"evaluation/ensemble_questions.ipynb",
"evaluation/linear_models_questions.ipynb",
"evaluation/predictive_modeling_pipeline_questions.ipynb",
"evaluation/trees_questions.ipynb"
],
"figures": [
"figures/README.md",
"figures/bagging.svg",
"figures/bagging0.svg",
"figures/bagging0_cross.svg",
"figures/bagging_cross.svg",
"figures/bagging_fit.svg",
"figures/bagging_line.svg",
"figures/bagging_overfit.svg",
"figures/bagging_reg_blue.svg",
"figures/bagging_reg_blue_grey.svg",
"figures/bagging_reg_data.svg",
"figures/bagging_reg_grey.svg",
"figures/bagging_reg_grey_fitted.svg",
"figures/bagging_trees.svg",
"figures/bagging_trees_predict.svg",
"figures/bagging_underfit.svg",
"figures/bagging_vote.svg",
"figures/boosting",
"figures/boosting0.svg",
"figures/boosting0_cross.svg",
"figures/boosting1.svg",
"figures/boosting2.svg",
"figures/boosting3.svg",
"figures/boosting_reg_blue.svg",
"figures/boosting_reg_data.svg",
"figures/boosting_reg_grey.svg",
"figures/boosting_trees1.svg",
"figures/boosting_trees2.svg",
"figures/boosting_trees3.svg",
"figures/bossting_reg_blue.svg",
"figures/categorical.svg",
"figures/cross_validation_diagram.png",
"figures/different_models_complex_16.svg",
"figures/different_models_complex_4.svg",
"figures/dt_fit.svg",
"figures/dt_overfit.svg",
"figures/dt_underfit.svg",
"figures/iris-silhouette.svg",
"figures/iris-silhouette_gray.svg",
"figures/iris_petal_length_cm_hist.svg",
"figures/iris_petal_width_cm_hist.svg",
"figures/iris_sepal_length_cm_hist.svg",
"figures/iris_sepal_width_cm_hist.svg",
"figures/legend_irises.svg",
"figures/lin_not_separable.svg",
"figures/lin_reg_2_points.svg",
"figures/lin_reg_2_points_best_ridge.svg",
"figures/lin_reg_2_points_best_ridge_grey.svg",
"figures/lin_reg_2_points_no_penalty.svg",
"figures/lin_reg_2_points_no_penalty_grey.svg",
"figures/lin_reg_2_points_ridge.svg",
"figures/lin_reg_2_points_ridge_grey.svg",
"figures/lin_reg_3D.svg",
"figures/lin_separable.svg",
"figures/linear_data.svg",
"figures/linear_fit.svg",
"figures/linear_fit_red.svg",
"figures/linear_ols.svg",
"figures/linear_ols_test.svg",
"figures/linear_splines.svg",
"figures/linear_splines_test.svg",
"figures/logistic_2D.svg",
"figures/logistic_2D_C0.001.svg",
"figures/logistic_2D_C1.svg",
"figures/logistic_3D.svg",
"figures/logistic_color.svg",
"figures/multinomial.svg",
"figures/ols_simple.svg",
"figures/ols_simple_test.svg",
"figures/ols_test.svg",
"figures/people.svg",
"figures/plot_cross_validation_diagram.py",
"figures/plot_iris_visualization.py",
"figures/plot_overfit_underfit.py",
"figures/plot_simple_decision_tree_adult_census.py",
"figures/plot_slide_linear.py",
"figures/plot_splines.py",
"figures/plot_trees.py",
"figures/polynomial_learning_curve_1179.svg",
"figures/polynomial_learning_curve_145.svg",
"figures/polynomial_learning_curve_42.svg",
"figures/polynomial_learning_curve_6766.svg",
"figures/polynomial_overfit.svg",
"figures/polynomial_overfit_0.svg",
"figures/polynomial_overfit_1.svg",
"figures/polynomial_overfit_2.svg",
"figures/polynomial_overfit_5.svg",
"figures/polynomial_overfit_9.svg",
"figures/polynomial_overfit_assymptotic.svg",
"figures/polynomial_overfit_ntrain_1179.svg",
"figures/polynomial_overfit_ntrain_145.svg",
"figures/polynomial_overfit_ntrain_42.svg",
"figures/polynomial_overfit_ntrain_6766.svg",
"figures/polynomial_overfit_resample_0.svg",
"figures/polynomial_overfit_resample_1.svg",
"figures/polynomial_overfit_resample_2.svg",
"figures/polynomial_overfit_resample_all.svg",
"figures/polynomial_overfit_simple.svg",
"figures/polynomial_overfit_simple_legend.svg",
"figures/polynomial_overfit_test_1.svg",
"figures/polynomial_overfit_test_2.svg",
"figures/polynomial_overfit_test_5.svg",
"figures/polynomial_overfit_test_9.svg",
"figures/polynomial_overfit_truth.svg",
"figures/polynomial_underfit_resample_0.svg",
"figures/polynomial_underfit_resample_1.svg",
"figures/polynomial_underfit_resample_2.svg",
"figures/polynomial_underfit_resample_all.svg",
"figures/polynomial_underfit_simple.svg",
"figures/polynomial_validation_curve.svg",
"figures/polynomial_validation_curve_1.svg",
"figures/polynomial_validation_curve_15.svg",
"figures/polynomial_validation_curve_2.svg",
"figures/polynomial_validation_curve_5.svg",
"figures/polynomial_validation_curve_9.svg",
"figures/randomized_search_results.csv",
"figures/randomized_search_results_logistic_regression.csv",
"figures/scikit-learn-logo.svg",
"figures/simple_decision_tree_adult_census.png",
"figures/splines_cubic.svg",
"figures/splines_cubic_test.svg",
"figures/splines_test.svg",
"figures/style_figs.py",
"figures/supervised.png",
"figures/target_bias.svg",
"figures/target_bias_0.svg",
"figures/target_bias_1.svg",
"figures/target_bias_2.svg",
"figures/target_variance.svg",
"figures/target_variance_0.svg",
"figures/target_variance_1.svg",
"figures/target_variance_2.svg",
"figures/tree2D_1split.svg",
"figures/tree2D_2split.svg",
"figures/tree2D_3split.svg",
"figures/tree_blue_orange1.svg",
"figures/tree_blue_orange2.svg",
"figures/tree_blue_orange3.svg",
"figures/tree_example.svg",
"figures/tree_regression1.svg",
"figures/tree_regression2.svg",
"figures/tree_regression3.svg",
"figures/unsupervised.png",
"figures/workflow.png"
]
}
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