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Describe the issue: Below code returns can't set attribute error
Minimal Complete Verifiable Example:
from dask_ml.decomposition import PCA import dask.array as da import numpy as np X = np.array([[-1, -1], [-2, -1], [-3, -2], [1, 1], [2, 1], [3, 2]]) dX = da.from_array(X, chunks=X.shape) pca = PCA(n_components=2) pca.fit(dX) # Put your MCVE code here
Anything else we need to know?:
Environment:
I faced this issue when working with scikit_learn==1.1.2, It worked after i downgraded scikit_learn to scikit_learn==1.0.2
The text was updated successfully, but these errors were encountered:
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Describe the issue:
Below code returns can't set attribute error
Minimal Complete Verifiable Example:
Anything else we need to know?:
Environment:
I faced this issue when working with scikit_learn==1.1.2, It worked after i downgraded scikit_learn to scikit_learn==1.0.2
The text was updated successfully, but these errors were encountered: