def _make_config_pack(self):
    self._config = {'feature_size': self.feature_size, 'field_size ': self.field_size, 'embedding_size ': self.embedding_size, 'dropout_fm ': self.dropout_fm, 'deep_layers ': self.deep_layers, 'dropout_deep ': self.dropout_deep, 'deep_layers_activation ': self.deep_layers_activation, 'use_fm ': self.use_fm, 'use_deep ': self.use_deep, 'l2_reg ': self.l2_reg, 'epoch ': self.epoch, 'batch_size ': self.batch_size, 'learning_rate ': self.learning_rate, 'optimizer_type ': self.optimizer_type, 'batch_norm ': self.batch_norm, 'batch_norm_decay ': self.batch_norm_decay, 'verbose ': self.verbose, 'random_seed ': self.random_seed, 'loss_type': self.loss_type, 'eval_metric ': self.eval_metric, 'greater_is_better ': self.greater_is_better}
def _make_config_pack(self):
    self._config = {'feature_size': self.feature_size, 'field_size ': self.field_size, 'embedding_size ': self.embedding_size, 'dropout_fm ': self.dropout_fm, 'deep_layers ': self.deep_layers, 'dropout_deep ': self.dropout_deep, 'deep_layers_activation ': self.deep_layers_activation, 'use_fm ': self.use_fm, 'use_deep ': self.use_deep, 'l2_reg ': self.l2_reg, 'epoch ': self.epoch, 'batch_size ': self.batch_size, 'learning_rate ': self.learning_rate, 'optimizer_type ': self.optimizer_type, 'batch_norm ': self.batch_norm, 'batch_norm_decay ': self.batch_norm_decay, 'verbose ': self.verbose, 'random_seed ': self.random_seed, 'loss_type': self.loss_type, 'eval_metric ': self.eval_metric, 'greater_is_better ': self.greater_is_better}