TabICL 0.1.3

• fix (InferenceManager): Add no_grad context for CPU inference
• fix (TabICLClassifier): Correct thread count calculation

Full Changelog: v0.1.2...v0.1.3

v0.1.2

What's Changed

• Fix bug when the number of classes exceeds 100 (Issue #8)
• Fix recursion error in the _latin_squares method of FeatureShuffler (Issue #9)
• docs: add alternate installation option by @TheFloatingString in #10

Full Changelog: v0.1.1...v0.1.2

TabICL 0.1.1

What's Changed

Add a better-performing checkpoint

Full Changelog: v0.1.0...v0.1.1

TabICL 0.1.0

What's Changed

Open-source pretraining code

Full Changelog: v0.0.6...v0.1.0

TabICL 0.0.6

What's Changed

• fix (TabICLClassifier): convert output tensor to float before moving to numpy (df1e504)

When AMP is enabled, PyTorch tensors may be in float16. Explicitly casting to float32 ensures stability and prevents errors.

Full Changelog: v0.0.5...v0.0.6

TabICL 0.0.5

What's Changed

• Fix: Normalize probabilities of TabLCLClassifier's predict_proba to sum to 1 (44c2d27)

Full Changelog: v0.0.4...v0.0.5

TabICL 0.0.4

What's Changed

• Add RTDL quantile transform by @dholzmueller in #5

Full Changelog: v0.0.3...v0.0.4

TabICL 0.0.3

What's Changed

• Implemented n_jobs in TabICLClassifier by @dholzmueller in #4
• Added inference_config in TabICLClassifier for advanced fine-grained control over TabICL

Full Changelog: v0.0.2...v0.0.3

TabICL 0.0.2

Improvements & Bug Fixes:

1. Properly handle DataFrames with integer-type column names (Issue #2)

2. Enhance checkpoint download from Hugging Face Hub

3. Enable skip_check_array in _validate_data for scikit-learn>=1.6

TabICL 0.0.1

TabICL inference code