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Extreme Gradient Boost imputer for Machine Learning.

Home Page: https://pypi.org/project/xgbimputer/

License: Other

Python 100.00%
machine-learning missforest missforest-imputation missing-data missing-values scikit-learn xgboost xgboost-algorithm

xgbimputer's Introduction

📖 Educação

Graduação em Direito | Pontifícia Universidade Católica de Goiás - PUC-GO

Pós-graduação em Direito Tributário | Escola Nacional de Administração Pública - ENAP

💼 Trabalho

Auditor-Fiscal | Receita Federal do Brasil - RFB

💡 Interesses

Direito Tributário | Python | Xadrez

xgbimputer's People

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xgbimputer's Issues

code does not work when no categorical variable exists

imputer = XGBImputer() without indicating indices for categorical, returns this error:
X[:,self.categorical_features_index] = mode_simple_imputer.fit_transform(X[:,self.categorical_features_index])
IndexError: arrays used as indices must be of integer (or boolean) type

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