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Augment pandas DataFrame with methods for machine learning

Project description

pytorch extension for pandas-ml-utils

Adds a PytorchModel to the pandas ml utils suite. While a regular class extending nn.Module is sufficient, there is also a special class PytorchNN which can be extended as well. Using this class has the following advantages:

  • allows to use L1, L2 regularization -> example
  • allows different forward path for training and prediction (useful i.e. for reparameterization trick) -> example
  • allows to implement auto-encoders easily by just providing the encode/decode functions
  • added loss functions like SoftDTW (fit time series) loss or HeteroscedasticityLoss (fit Normal Distribution) -> example



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pandas-ml-utils-torch-0.2.7.tar.gz (47.4 kB view hashes)

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