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I am looking to use Pylearn2 to use on classification problems for non-image data. So I have a vector of response data and a matrix of independent variables where each row is one sample of independent variables Y(t) = X(t). Which dataset class do is use in Pylearn2 to accomplish my task. |
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If the data matrix is dense, use the DenseDesignMatrix class for the dataset. If it is sparse, use the SparseDataset class. |
Wait, rewrite this a bit better. Do you want to classify the output of ICA, don't you? Try SVM...