API Reference

This page documents the public API of pretab: the high-level pretab.preprocessor.Preprocessor and every transformer exported from pretab.transformers.

Preprocessor

pretab.preprocessor.Preprocessor

Preprocessor class for automated tabular feature preprocessing using scikit-learn-compatible pipelines.

Encoders and binning

PLETransformer	Piecewise Linear Encoding (PLE) transformer for numerical features.
CustomBinTransformer	Custom binning transformer for one-dimensional numerical features.
OneHotFromOrdinalTransformer	Convert ordinal-encoded features into a one-hot encoded representation.
LanguageEmbeddingTransformer	Encode categorical text features into embeddings using a pre-trained language model.

Feature maps

RBFExpansionTransformer	Radial Basis Function (RBF) feature expansion for numerical tabular data.
ReLUExpansionTransformer	Applies ReLU basis expansion to input features using fixed or data-driven center placement.
SigmoidExpansionTransformer	Applies sigmoid basis expansion to input features using specified or data-driven center placement.
TanhExpansionTransformer	Applies hyperbolic tangent (tanh) basis expansion to input features using specified or learned center locations.

Splines

CubicSplineTransformer	Cubic Spline Transformer for one-dimensional or multi-dimensional input features.
NaturalCubicSplineTransformer	Natural Cubic Spline Transformer for continuous features.
PSplineTransformer	P-spline Transformer for smooth spline basis expansion with penalization.
TensorProductSplineTransformer	Tensor Product Spline Transformer for multivariate smooth basis expansion.
ThinPlateSplineTransformer	Thin Plate Spline Transformer for smooth univariate basis expansion.

Temporal

CyclicalTimeTransformer	Encode a cyclical time variable using sine and cosine components.
LagFeatureTransformer	Create lagged features for time-series inputs.
RollingStatsTransformer	Compute rolling-window statistics over time-series inputs.