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"""
LightGBM Classifier setup.
Features:
- Uses `LGBMClassifier`.
- Fast and efficient for binary and multi-class tasks.
- Default scoring: 'accuracy'.
Requires `lightgbm` installed.
"""
from lightgbm import LGBMClassifier
estimator = LGBMClassifier(verbose=-1, random_state=42)
param_grid = {
'model__n_estimators': [100],
'model__num_leaves': [31, 63],
'model__learning_rate': [0.01, 0.1],
# Preprocessing params
#'preprocessor__num__imputer__strategy': ['mean','median'],
#'preprocessor__num__scaler__with_mean': [True,False],
#'preprocessor__num__scaler__with_std': [True,False],
}
default_scoring = 'accuracy'
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