Intel extension for Scikitlearn error with PCA algorithm

[Mostafa-]

Hello,

Our customer was trying to work with PCA algorithm through Intel extension for Scikitlearn, in DevCloud.

The error message reported is:

SKLEARNEX DEBUG: sklearn.decomposition.PCA.fit: patching failed with cause - The shape of X does not satisfy oneDAL requirements: number of features / number of samples >= 2
SKLEARNEX INFO: sklearn.decomposition.PCA.fit: fallback to original Scikit-learn

[JaideepK_Intel · Accepted solution]

Hi,

Thank you for posting in Intel Communities.

We were able to reproduce your issue from our end.

This is a known limitation in the Intel extension for Scikit-learn:

When the number of samples exceeds the number of features (samples > 2*features), both Scikit-learn and the Intel extension for Scikit-learn are going to work, else it is going to throw an error like you mentioned above.

Example:

In your sample if u swap n_features with n_samples i.e if

n_features=1000

n_samples=7000

Then your sample is going to work.

Thanks,

Jaideep

[Mostafa-]

thank you, I replied back to our customer, and waiting their response.

[JaideepK_Intel]

Hi,

If this resolves your issue, make sure to accept this as a solution. This would help others with similar issue. Thank you!

Thanks,

Jaideep

[JaideepK_Intel]

Hi,

Thanks for accepting our solution. If you need any additional information, please post a new question as this thread will no longer be monitored by Intel.

Thanks,

Jaideep