deepctr.inputs module

Author:

Weichen Shen,weichenswc@163.com

deepctr.inputs.create_embedding_dict(sparse_feature_columns, varlen_sparse_feature_columns, seed, l2_reg, prefix='sparse_', seq_mask_zero=True)

deepctr.inputs.create_embedding_matrix(feature_columns, l2_reg, seed, prefix='', seq_mask_zero=True)

deepctr.inputs.embedding_lookup(sparse_embedding_dict, sparse_input_dict, sparse_feature_columns, return_feat_list=(), mask_feat_list=(), to_list=False)

deepctr.inputs.get_dense_input(features, feature_columns)

deepctr.inputs.get_embedding_vec_list(embedding_dict, input_dict, sparse_feature_columns, return_feat_list=(), mask_feat_list=())

deepctr.inputs.get_inputs_list(inputs)

deepctr.inputs.get_varlen_pooling_list(embedding_dict, features, varlen_sparse_feature_columns, to_list=False)

deepctr.inputs.mergeDict(a, b)

deepctr.inputs.varlen_embedding_lookup(embedding_dict, sequence_input_dict, varlen_sparse_feature_columns)