dataframe-hasktorch: Converts between dataframes and hasktorch tensors

This package provides seamless conversion between dataframes and hasktorch tensors, bridging the gap between data manipulation and machine learning workflows.

Key features:

• Convert dataframes to floating-point or integer tensors for ML training

• Automatic handling of multi-column and single-column dataframes

• Smart dimensional handling (1D tensors for single columns, 2D for multiple)

• Type-safe conversions with comprehensive error handling

Typical workflow: load and transform data using dataframes, then convert to tensors for training neural networks with hasktorch.

Modules

[Index] [Quick Jump]

Downloads

• dataframe-hasktorch-0.4.0.1.tar.gz [browse] (Cabal source package)
• Package description (revised from the package)

Note: This package has metadata revisions in the cabal description newer than included in the tarball. To unpack the package including the revisions, use 'cabal get'.

Maintainer's Corner

Package maintainers

• mchav

For package maintainers and hackage trustees

• edit package information

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