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.
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- dataframe-hasktorch-0.1.0.1.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
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Versions [RSS] | 0.1.0.0, 0.1.0.1, 0.1.0.2 |
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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 2025-10-09T18:01:51Z |
Distributions | |
Downloads | 9 total (9 in the last 30 days) |
Rating | (no votes yet) [estimated by Bayesian average] |
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Status | Docs not available [build log] All reported builds failed as of 2025-10-09 [all 2 reports] |