sdm.processing

Processor API

Processor	Base processor for tensor-aware table transformations.
InvertibleMixin	Extend a Processor by an inverse transformation.
EnsembleProcessor	Base processor for ensemble-aware table transformations.
EnsembleInvertibleMixin	Extend a EnsembleProcessor by an inverse transformation.
Recipe	Processing contract around an external model boundary.

Common Processors

Identity	Return inputs unchanged.
Callable	Adapt a stateless callable to the Processor interface.
Sequential	Apply processors and callables to a table in sequence.
DropStypes	Remove all columns for specific semantic types.
StypeDispatch	Apply separate processor pipelines to columns grouped by semantic type.
TaskDispatch	Apply separate processors based on the semantic type of the target.
TableDispatch	Apply separate feature processors to task and related tables.
EnsembleProcessorAdapter	Adapt an ordinary processor to ensemble-aware processing.
Choice	Route each table or ensemble member through one selected option.
ToNumerical	Move categorical columns into the numerical block.
ShuffleColumns	Permute numerical feature columns and their names.
SelectColumns	Select a subset of columns for each semantic type.

Numerical Processors

Cast	Cast numerical columns to a floating-point dtype.
Clip	Clamp numerical values to a fixed interval.
ClipQuantiles	Clamp feature columns to fitted quantile bounds.
ClipSigma	Two-stage z-score outlier clipping with soft logarithmic bounds.
ClipSoft	Soft-clip numerical values toward ±max_absolute_value.
ImputeMean	Replace NaN feature values with fitted per-column means.
PowerTransform	Apply a feature-wise Yeo-Johnson power transform.
QuantileTransform	Map numerical columns through their empirical quantiles.
Standardize	Center and scale each feature column.
RobustScale	Center and scale each feature column with median and quantile range.
FlipSign	Randomly negate numerical columns.
DropConstantColumns	Remove non-informative numerical columns learned during fit.
PCA	Project numerical columns onto their principal components.
RandomProjection	Randomly project numerical columns.

Categorical Processors

AlignCategories	Align categorical columns to categories observed during fitting.
ShuffleCategories	Independently permute the integer codes of categorical columns.
ImputeMode	Replace missing categorical values with fitted per-column modes.
AddCategoryCounts	Add the log row count of each categorical value.

Text Processors

TFIDF	Encode text columns as character n-gram TF-IDF vectors.
SentenceTransformer	Transform text columns with a sentence_transformers.SentenceTransformer model.

Datetime Processors

AddCalendarFields

Add numerical calendar fields derived from datetime columns.

Post-Processors

AverageEstimators	Reduce the leading ensemble dimension of model outputs.
Softmax	Apply softmax to logits after temperature scaling.
SortQuantiles	Sort quantile predictions in ascending order.