dcf583f15d08415d4e1972d44c250a5f13f6b10c,examples/run_dien.py,,get_xy_fd,#Any#Any#,8

Before Change

    if use_neg:
        feature_dict["neg_hist_item"] = np.array([[1, 2, 3, 0], [1, 2, 3, 0], [1, 2, 0, 0]])
        feature_dict["neg_hist_item_gender"] = np.array([[1, 1, 2, 0], [2, 1, 1, 0], [2, 1, 0, 0]])
        feature_columns += [VarLenSparseFeat("neg_hist_item", maxlen=4,vocabulary_size=3+1,embedding_dim=8, embedding_name="item",length_name="seq_length"),
                        VarLenSparseFeat("neg_hist_item_gender", maxlen=4, vocabulary_size=3+1,embedding_dim=4,embedding_name="item_gender",length_name="seq_length")]

    x = {name:feature_dict[name] for name in get_feature_names(feature_columns)}

After Change

        feature_columns += [
            VarLenSparseFeat(SparseFeat("neg_hist_item", vocabulary_size=3 + 1, embedding_dim=8, embedding_name="item"),
                             maxlen=4, length_name="seq_length"),
            VarLenSparseFeat(SparseFeat("neg_hist_item_gender", 2 + 1, embedding_dim=4, embedding_name="item_gender"),
                             maxlen=4, length_name="seq_length")]

    x = {name:feature_dict[name] for name in get_feature_names(feature_columns)}
    y = [1, 0, 1]

Instances