Created
April 5, 2018 20:12
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test of memory usage for scikit-learn lda
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| import numpy as np | |
| #from sklearn.discriminant_analysis import _class_cov,LinearDiscriminantAnalysis | |
| from discriminant_analysis import _class_cov,LinearDiscriminantAnalysis | |
| X = np.random.rand(1000000, 100) | |
| y = np.random.randint(0, 20000, (1000000, )) | |
| print len(np.unique(y)) | |
| #model=LinearDiscriminantAnalysis(solver='eigen') | |
| #model.fit(X,y) | |
| _class_cov(X, y, np.array([1.]*20000)/20000) |
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sklearn.discriminant_analysis: 2.2GB
discriminant_analysis from new pull: 838m