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"""
Linear Discriminant Analysis (LDA) Classifier setup.
Features:
- Uses `LinearDiscriminantAnalysis`.
- Works for binary and multi-class tasks.
- Default scoring: 'accuracy'.
Considerations:
- `solver` can be tuned.
- Some solvers allow `shrinkage` parameter.
"""
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
estimator = LinearDiscriminantAnalysis()
param_grid = {
'model__solver': ['svd', 'lsqr'],
# If solver='lsqr', can tune shrinkage parameter if needed
# 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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