コード例 #1
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 def get_config(self):
     return {
         'column_names': self.column_names,
         'column_types': utils.to_type_key(self.column_types, str),
         'num_columns': self.num_columns,
         'max_columns': self.max_columns
     }
コード例 #2
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 def get_weights(self):
     label_encoders_state = {
         key: label_encoder.get_state()
         for key, label_encoder in self.label_encoders.items()
     }
     return {
         'shape':
         self.shape,
         'num_rows':
         self.num_rows,
         'categorical_col':
         self.categorical_col,
         'numerical_col':
         self.numerical_col,
         'label_encoders':
         utils.to_type_key(label_encoders_state, str),
         'value_counters':
         utils.to_type_key(self.value_counters, str),
         'categorical_categorical':
         utils.to_type_key(self.categorical_categorical, str),
         'numerical_categorical':
         utils.to_type_key(self.numerical_categorical, str),
         'count_frequency':
         utils.to_type_key(self.count_frequency, str),
         'high_level1_col':
         self.high_level1_col,
         'high_level2_col':
         self.high_level2_col,
         'high_level_cat_cat':
         utils.to_type_key(self.high_level_cat_cat, str),
         'high_level_num_cat':
         utils.to_type_key(self.high_level_num_cat, str)
     }
コード例 #3
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ファイル: preprocessor.py プロジェクト: TFResources/autokeras
 def get_state(self):
     state = super().get_state()
     label_encoders = {
         key: encoder.serialize(label_encoder)
         for key, label_encoder in self.label_encoders.items()
     }
     label_encoders_state = {
         key: label_encoder.get_state()
         for key, label_encoder in self.label_encoders.items()
     }
     state.update({
         'shape':
         self.shape,
         'num_rows':
         self.num_rows,
         'categorical_col':
         self.categorical_col,
         'numerical_col':
         self.numerical_col,
         'label_encoders':
         utils.to_type_key(label_encoders, str),
         'label_encoders_state':
         utils.to_type_key(label_encoders_state, str),
         'value_counters':
         utils.to_type_key(self.value_counters, str),
         'categorical_categorical':
         utils.to_type_key(self.categorical_categorical, str),
         'numerical_categorical':
         utils.to_type_key(self.numerical_categorical, str),
         'count_frequency':
         utils.to_type_key(self.count_frequency, str),
         'high_level1_col':
         self.high_level1_col,
         'high_level2_col':
         self.high_level2_col,
         'high_level_cat_cat':
         utils.to_type_key(self.high_level_cat_cat, str),
         'high_level_num_cat':
         utils.to_type_key(self.high_level_num_cat, str),
         'column_names':
         self.column_names,
         'column_types':
         utils.to_type_key(self.column_types, str),
         'num_columns':
         self.num_columns,
     })
     return state
コード例 #4
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ファイル: preprocessor.py プロジェクト: TFResources/autokeras
 def set_state(self, state):
     super().set_state(state)
     for key, label_encoder in state['label_encoders'].items():
         self.label_encoders[key] = encoder.deserialize(label_encoder)
     for key, label_encoder_state in state['label_encoders_state'].items():
         self.label_encoders[key].set_state(label_encoder_state)
     self.column_names = state['column_names']
     self.column_types = state['column_types']
     self.num_columns = state['num_columns']
     self.shape = state['shape']
     self.num_rows = state['num_rows']
     self.categorical_col = state['categorical_col']
     self.numerical_col = state['numerical_col']
     self.value_counters = utils.to_type_key(state['value_counters'], int)
     self.categorical_categorical = utils.to_type_key(
         state['categorical_categorical'], ast.literal_eval)
     self.numerical_categorical = utils.to_type_key(
         state['numerical_categorical'], ast.literal_eval)
     self.count_frequency = utils.to_type_key(state['count_frequency'], int)
     self.high_level1_col = state['high_level1_col']
     self.high_level2_col = state['high_level2_col']
     self.high_level_cat_cat = utils.to_type_key(
         state['high_level_cat_cat'], ast.literal_eval)
     self.high_level_num_cat = utils.to_type_key(
         state['high_level_num_cat'], ast.literal_eval)
コード例 #5
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ファイル: preprocessor.py プロジェクト: wushicanASL/autokeras
 def set_weights(self, weights):
     for key, label_encoder_state in utils.to_type_key(weights['label_encoders'],
                                                       int).items():
         self.label_encoders[key] = encoder.LabelEncoder()
         self.label_encoders[key].set_state(label_encoder_state)
     self.shape = weights['shape']
     self.num_rows = weights['num_rows']
     self.categorical_col = weights['categorical_col']
     self.numerical_col = weights['numerical_col']
     self.value_counters = utils.to_type_key(weights['value_counters'], int)
     self.categorical_categorical = utils.to_type_key(
         weights['categorical_categorical'], ast.literal_eval)
     self.numerical_categorical = utils.to_type_key(
         weights['numerical_categorical'], ast.literal_eval)
     self.count_frequency = utils.to_type_key(weights['count_frequency'], int)
     self.high_level1_col = weights['high_level1_col']
     self.high_level2_col = weights['high_level2_col']
     self.high_level_cat_cat = utils.to_type_key(
         weights['high_level_cat_cat'], ast.literal_eval)
     self.high_level_num_cat = utils.to_type_key(
         weights['high_level_num_cat'], ast.literal_eval)