Expand description
Data splitting utilities for cross-validation and train/test splits
Structs§
- Blocked
Time Series Split - Blocked Time Series Split (for grouped temporal data) Splits data into train/test while respecting group boundaries
- KFold
- K-Fold cross-validation split indices generator
- Leave
OneOut - Leave-One-Out cross-validation
- RepeatedK
Fold - Repeated K-Fold cross-validation
- StratifiedK
Fold - Stratified K-Fold cross-validation split indices generator Ensures each fold has approximately the same percentage of samples of each class
- Time
Series Split - Time Series Split for temporal data Provides train/test indices to split time series data while preserving temporal order
Functions§
- train_
test_ split - Split data into train and test sets
- train_
test_ split_ regression - Split regression data into train and test sets (with continuous labels)