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uncomment plot_pca, comment learning curve and tsne #429

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Dec 1, 2022
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uncomment plot_pca, comment learning curve and tsne #429

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10 changes: 6 additions & 4 deletions machine/learn/skl_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -370,6 +370,8 @@ def generate_results(model, input_data,
model = clf.best_estimator_
else:
print("param_grid else")

# (does not pass the unit test)
# plot_learning_curve(tmpdir,_id, model,features,target,cv,return_times=True)
model.fit(features, target)

Expand Down Expand Up @@ -500,14 +502,14 @@ def generate_results(model, input_data,
# cv_scores,
# figure_export)

# this pca 2d
# plot_pca_2d(tmpdir,_id,features,target)
# this pca 2d
plot_pca_2d(tmpdir,_id,features,target)

# plot_pca_3d(tmpdir,_id,features,target)
# plot_pca_3d_iris(tmpdir,_id,features,target)

# this tsne 2d
plot_tsne(tmpdir,_id,features,target)
# this tsne 2d (does not pass the unit test)
# plot_tsne(tmpdir,_id,features,target)

if type(model).__name__ == 'Pipeline':
step_names = [step[0] for step in model.steps]
Expand Down