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- pca = PCA(n_components=data.shape[1])
- pca.fit(data)
- original_features_total_var = numpy.sum(original_features_var)
- pca_feature_total_var = numpy.sum( pca.explained_variance_ )
- assert abs( original_features_total_var - pca_feature_total_var ) < 0.01
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