dataframe-hasktorch: Converts between dataframes and hasktorch tensors

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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.

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Versions [RSS] 0.1.0.0, 0.1.0.1, 0.1.0.2
Change log CHANGELOG.md
Dependencies base (>=4.11 && <5), dataframe (>=0.3.3.3 && <0.6), hasktorch (>=0.2.1.6 && <0.3), vector (>=0.13 && <0.14) [details]
License MIT
Author Michael Chavinda
Maintainer mschavinda@gmail.com
Category Data
Uploaded by mchav at 2025-10-09T18:33:14Z
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Downloads 9 total (9 in the last 30 days)
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Status Docs available [build log]
Last success reported on 2025-10-09 [all 1 reports]