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sklearn-autoencoder's Introduction

sklearn-autoencoder

Denoising Autoencoder wrapper (from Theano) to sklearn (scikit-learn)

Example

da = DenoisingAutoencoder(n_hidden=10)

da.fit(X)

new_X = da.transform(X)

To change the dimensionality of X (in this case, changed_X will have "n_hidden" features)

changed_X = da.transform_latent_representation(X)

sklearn-autoencoder's People

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sklearn-autoencoder's Issues

how to map from hidden layer representation to the transformed one

Hi there, so the pipline is (sort of )

raw x ------> hidden reprensentaion ----> the Wanted X

what if now I have a hidden representation somewhere, and I wish to map this hidden rep to the wanted X, is there a function call to that?

I mean, is there a decoder from hidden ---> x

Thanks

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