1438bf0debd7cdf3c70eed492f93bdf98cfb48b3,deepctr/input_embedding.py,,create_varlenfeat_dict,#Any#Any#,35

Before Change

def create_varlenfeat_dict(feature_dim_dict, mask_zero=True):

    sequence_dim_dict = feature_dim_dict.get("sequence", [])
    sequence_input_dict = {feat.name: Input(shape=(feat.maxlen,), name="seq_" + str(
        i) + "-" + feat.name) for i, feat in enumerate(sequence_dim_dict)}
    sequence_pooling_dict = {feat.name: feat.combiner
                             for i, feat in enumerate(sequence_dim_dict)}
    if mask_zero:
        sequence_len_dict, sequence_max_len_dict = None, None

After Change

def create_varlenfeat_dict(feature_dim_dict, mask_zero=True):

    sequence_dim_dict = feature_dim_dict.get("sequence", [])
    sequence_input_dict = OrderedDict()
    for i, feat in enumerate(sequence_dim_dict):
        sequence_input_dict[feat.name] = Input(shape=(feat.maxlen,), name="seq_" + str(
            i) + "-" + feat.name)
    sequence_pooling_dict = {feat.name: feat.combiner
                             for i, feat in enumerate(sequence_dim_dict)}
    if mask_zero:
        sequence_len_dict, sequence_max_len_dict = None, None

Instances