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fit or fit_transform #9

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yuanqin27 opened this issue Oct 18, 2018 · 1 comment
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fit or fit_transform #9

yuanqin27 opened this issue Oct 18, 2018 · 1 comment
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bug Something isn't working

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@yuanqin27
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pca_demo.ipynb and tsvd_demo.ipynb

%%time
pca_sk = skPCA(n_components=n_components,svd_solver=svd_solver,
whiten=whiten, random_state=random_state)
result_sk = pca_sk.fit_transform(X)

%%time
algorithm='arpack'
tsvd_sk = skTSVD(n_components=n_components,algorithm=algorithm,
random_state=random_state)
result_sk = tsvd_sk.fit_transform(X)

I found that using ‘fit_transform‘’ will not report an error, using ‘fit’ will not

@dantegd dantegd added the bug Something isn't working label Oct 18, 2018
@oyilmaz-nvidia
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I am not sure that I follow the bug. These seem to me scikit-learn examples. If you are getting from scikit-learn, you should check your installation.

dantegd referenced this issue in dantegd/cuml Mar 19, 2019
[HOTFIX] Unique parameter to avoid hash collision wiht higher number of GPUs
dantegd pushed a commit that referenced this issue Jul 14, 2020
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