db63fc682084097bb345e2cbbbc94f73042e8ec6,examples/run_dien.py,,get_xy_fd,#Any#Any#,8

Before Change

        //x += [feature_dict["neg_hist_"+feat] for feat in behavior_feature_list]


    fix_feature_names = get_fixlen_feature_names(feature_columns)
    varlen_feature_names = get_varlen_feature_names(feature_columns)
    x = [feature_dict[name] for name in fix_feature_names] + [feature_dict[name] for name in varlen_feature_names]

    x += [behavior_length]
    y = [1, 0, 1]

After 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",3+1, maxlen=4, embedding_name="item"),
                        VarLenSparseFeat("neg_hist_item_gender",3+1, maxlen=4, embedding_name="item_gender")]

    x = {name:feature_dict[name] for name in get_feature_names(feature_columns)}
    x["seq_length"] = behavior_length
    y = [1, 0, 1]
    return x, y, feature_columns, behavior_feature_list

Instances