Error 0081
Updated: July 19, 2016
Error 0081
Exception occurs in PCA module if number of dimensions to reduce to is equal to number of feature columns in input dataset, containing at least one sparse feature column.
This error in Azure Machine Learning is produced if the following conditions are met: (a) the input dataset has at least one sparse column and (b) the final number of dimensions requested is the same as the number of input dimensions.
Consider reducing the number of dimensions in the output to be fewer than the number of dimensions in the input. This is typical in applications of PCA. For more information, see Principal Component Analysis.
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For dataset containing sparse feature columns number of dimensions to reduce to should be less than number of feature columns. |
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