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dataframe-hasktorch: Converts between dataframes and hasktorch tensors
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.
Downloads
- dataframe-hasktorch-0.1.0.2.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
Maintainer's Corner
For package maintainers and hackage trustees
Candidates
- No Candidates
| 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 |
| Uploaded | by mchav at 2025-10-09T18:33:14Z |
| Category | Data |
| Distributions | |
| Reverse Dependencies | 1 direct, 0 indirect [details] |
| Downloads | 36 total (10 in the last 30 days) |
| Rating | (no votes yet) [estimated by Bayesian average] |
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| Status | Docs available [build log] Last success reported on 2025-10-09 [all 1 reports] |