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remove plot_learning curve add plot_tsne #436

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Dec 5, 2022
Merged

remove plot_learning curve add plot_tsne #436

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16 changes: 8 additions & 8 deletions machine/learn/skl_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -377,7 +377,7 @@ def generate_results(model, input_data,
model = clf.best_estimator_
else:
print("param_grid else")
plot_learning_curve(tmpdir,_id, model,features,target,cv,return_times=True)
# plot_learning_curve(tmpdir,_id, model,features,target,cv,return_times=True)
model.fit(features, target)


Expand Down Expand Up @@ -514,7 +514,7 @@ def generate_results(model, input_data,
# plot_pca_3d_iris(tmpdir,_id,features,target)

# this
# plot_tsne(tmpdir,_id,features,target)
plot_tsne(tmpdir,_id,features,target)

if type(model).__name__ == 'Pipeline':
step_names = [step[0] for step in model.steps]
Expand Down Expand Up @@ -1232,13 +1232,13 @@ def plot_pca_2d(tmpdir,_id,features,target):
# ax.w_zaxis.set_ticklabels([])

# plt.show()
plt.savefig(tmpdir + _id + '/pca_' + _id + '.png')
plt.close()
# plt.savefig(tmpdir + _id + '/pca_' + _id + '.png')
# plt.close()



path = tmpdir + _id + '/pcaJson_' + _id + '.json'
import json
# import json



Expand Down Expand Up @@ -1492,15 +1492,15 @@ def plot_tsne(tmpdir,_id,features,target):


# plt.show()
plt.savefig(tmpdir + _id + '/tsne_' + _id + '.png')
plt.close()
# plt.savefig(tmpdir + _id + '/tsne_' + _id + '.png')
# plt.close()





# path = tmpdir + _id + '/tsneJson_' + _id + '.json'
import json
# import json



Expand Down