cursus.processing.categorical.dictionary_encoding_processor

Dictionary Encoding Processor for Categorical Features

This module provides atomic dictionary-based categorical encoding. Extracted from TSA CategoricalTransformer functionality.

class DictionaryEncodingProcessor(categorical_map=None, unknown_strategy='default', default_value=0, columns=None)

Bases: Processor

Pure dictionary-based categorical encoding.

Extracted from TSA CategoricalTransformer functionality.

Parameters:

• categorical_map (Dict[str, Dict[str, int]] | None) – Pre-defined category mappings

• unknown_strategy (str) – ‘error’, ‘default’, ‘ignore’

• default_value (int) – Value for unknown categories

• columns (List[str] | None) – Specific columns to encode

fit(data)

Learn categorical mappings from data if not provided

process(input_data)

Apply dictionary encoding

inverse_transform(encoded_data)

Inverse transform encoded data back to original categorical values

get_vocab_size(column_name)

Get vocabulary size for a specific column

get_all_vocab_sizes()

Get vocabulary sizes for all categorical columns

get_config()

Return processor configuration