lazyslide_models.feature_prediction.Path2Space#
- class Path2Space(model_path=None, token=None)#
Bases:
FeaturePredictionModelpath2space GitHub Paper Params: 1.76B Apache-2.0 [Shulman et al., 2026] Predict spatial gene expression from CTransPath tile features. Path2Space gene-expression predictor.
The model consumes raw 768-dimensional CTransPath tile features and returns one NumPy array per gene. Gene names and output ordering are read from the gene list published alongside the exported ensemble.
- predict(features)#
Predict expression for an
[n_tiles, 768]feature matrix.