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PCAmodel._screecv_optimize_ncomps
Running the below code will fail ~15% of the iterations.
for i in range(100): PCAmodel = ChemometricsPCA(ncomps=10, scaler=scaler_obj) data = numpy.random.lognormal(size=(10, 10)) + 1 PCAmodel._npyc_dataset_shape = {'NumberSamples': data.shape[0], 'NumberFeatures': data.shape[1]} PCAmodel.fit(data) try: scree_cv = PCAmodel._screecv_optimize_ncomps(data, total_comps=10, stopping_condition=0.05) except: print('failed')
The text was updated successfully, but these errors were encountered:
test_plotScores_raises
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Running the below code will fail ~15% of the iterations.
The text was updated successfully, but these errors were encountered: