Expand description
Categorical data encoding utilities Categorical data encoding utilities
This module provides methods for encoding categorical data into numerical formats suitable for machine learning algorithms.
Structs§
- Binary
Encoder - BinaryEncoder for converting categorical features to binary representations
- Frequency
Encoder - FrequencyEncoder for converting categorical features to frequency counts
- OneHot
Encoder - OneHotEncoder for converting categorical features to binary features
- Ordinal
Encoder - OrdinalEncoder for converting categorical features to ordinal integers
- Sparse
Matrix - Simple sparse matrix representation in COO (Coordinate) format
- Target
Encoder - TargetEncoder for supervised categorical encoding
- WOEEncoder
- Weight of Evidence (WOE) Encoder for converting categorical features using target information
Enums§
- Encoded
Output - Output format for encoded data