Created
April 5, 2018 20:12
-
-
Save bobchennan/3ada4e036c741a02860446e45e1b55fa to your computer and use it in GitHub Desktop.
test of memory usage for scikit-learn lda
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| 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) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
sklearn.discriminant_analysis: 2.2GB
discriminant_analysis from new pull: 838m