TabICL regressor v2 โ tabicl format
Converted weights for tabicl-rs.
Mirrors the upstream PyTorch checkpoint Jingang/TabICL-reg (v2 release)
in the layout the Rust state-dict loader consumes directly.
See MIT-RLX/tabicl-classifier-v2-rs for the classifier variant and a
full description of the conversion pipeline; everything carries over
modulo the regression head (quantile decoder instead of softmax).
Usage
use tabicl::{TabICLRegressor, TabICLConfig};
let mut reg = TabICLRegressor::new();
reg.fit(x_train.view(), &y_train)?;
reg.load_checkpoint(TabICLConfig::default(), "weights.safetensors")?;
let preds = reg.predict(x_test.view())?;
License
BSD-3-Clause, matching upstream soda-inria/tabicl.
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