almost-matching-exactly.github.io/DAME-FLAME-Python-Package/api-documentation/DAME

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https://almost-matching-exactly.github.io/DAME-FLAME-Python-Package/api-documentation/DAME

DAME

dame_flame.matching.DAME class dame_flame.matching.DAME(adaptive_weights='ridge', alpha=0.1, repeats=True, verbose=2, early_stop_iterations=float('inf'), stop_unmatched_c=False, early_stop_un_c_frac=False, stop_unmatched_t=False, early_stop_un_t_frac=False, early_stop_pe=0.05, missing_indicator=np.nan, missing_data_replace=0, missing_holdout_replace=0, missing_holdout_imputations=10, missing_data_imputations=1, want_pe=False, want_bf=False) Source Code



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DAME

https://almost-matching-exactly.github.io/DAME-FLAME-Python-Package/api-documentation/DAME

dame_flame.matching.DAME class dame_flame.matching.DAME(adaptive_weights='ridge', alpha=0.1, repeats=True, verbose=2, early_stop_iterations=float('inf'), stop_unmatched_c=False, early_stop_un_c_frac=False, stop_unmatched_t=False, early_stop_un_t_frac=False, early_stop_pe=0.05, missing_indicator=np.nan, missing_data_replace=0, missing_holdout_replace=0, missing_holdout_imputations=10, missing_data_imputations=1, want_pe=False, want_bf=False) Source Code



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https://almost-matching-exactly.github.io/DAME-FLAME-Python-Package/api-documentation/DAME

DAME

dame_flame.matching.DAME class dame_flame.matching.DAME(adaptive_weights='ridge', alpha=0.1, repeats=True, verbose=2, early_stop_iterations=float('inf'), stop_unmatched_c=False, early_stop_un_c_frac=False, stop_unmatched_t=False, early_stop_un_t_frac=False, early_stop_pe=0.05, missing_indicator=np.nan, missing_data_replace=0, missing_holdout_replace=0, missing_holdout_imputations=10, missing_data_imputations=1, want_pe=False, want_bf=False) Source Code

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      dame_flame.matching.DAME class dame_flame.matching.DAME(adaptive_weights='ridge', alpha=0.1, repeats=True, verbose=2, early_stop_iterations=float('inf'), stop_unmatched_c=False, early_stop_un_c_frac=False, stop_unmatched_t=False, early_stop_un_t_frac=False, early_stop_pe=0.05, missing_indicator=np.nan, missing_data_replace=0, missing_holdout_replace=0, missing_holdout_imputations=10, missing_data_imputations=1, want_pe=False, want_bf=False) Source Code
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