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set fill value to max of full dataset + 1 #36

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Mar 23, 2020
Merged

set fill value to max of full dataset + 1 #36

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6 changes: 3 additions & 3 deletions autoPyTorch/pipeline/nodes/imputation.py
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Original file line number Diff line number Diff line change
Expand Up @@ -24,12 +24,12 @@ def fit(self, hyperparameter_config, X, train_indices, dataset_info):
return {'imputation_preprocessor': None, 'all_nan_columns': None}

# delete all nan columns
all_nan = np.all(np.isnan(X[train_indices]), axis=0)
all_nan = np.all(np.isnan(X), axis=0)
X = X[:, ~all_nan]
dataset_info.categorical_features = [dataset_info.categorical_features[i] for i, is_nan in enumerate(all_nan) if not is_nan]

strategy = hyperparameter_config['strategy']
fill_value = int(np.nanmax(X[train_indices])) + 1 if not dataset_info.is_sparse else 0
fill_value = int(np.nanmax(X)) + 1 if not dataset_info.is_sparse else 0
numerical_imputer = SimpleImputer(strategy=strategy, copy=False)
categorical_imputer = SimpleImputer(strategy='constant', copy=False, fill_value=fill_value)
transformer = ColumnTransformer(
Expand Down Expand Up @@ -63,4 +63,4 @@ def get_pipeline_config_options(self):
ConfigOption(name='imputation_strategies', default=Imputation.strategies, type=str, list=True, choices=Imputation.strategies)
]
return options