Web27. mar 2024 · VarLenSparseFeat is a namedtuple with signature VarLenSparseFeat (sparsefeat, maxlen, combiner, length_name, weight_name, weight_norm) sparsefeat : a instance of SparseFeat; maxlen : maximum length of this feature for all samples; combiner : pooling method,can be sum,mean or max; length_name : feature length name,if None, … Web2. dec 2024 · VarLenSparseFeat 由于VarLenSparseFeat和SparseFeat存在较多相同参数,且很多情况下相同参数的取值也是相同的(如用户历史商品点击序列和待预估商品),故 …
推荐系统之DIN代码详解
Web29. dec 2024 · import numpy as np: from deepctr.models import DIN: from deepctr.feature_column import SparseFeat, VarLenSparseFeat, DenseFeat,get_feature_names: def get_xy_fd(): godfather bodybuilding
DeepCTR — SparseFeat、DenseFeat、VarLenSparseFeat参数解释 …
Web19. dec 2024 · SparseFeat就是用来定义Embedding,需要传入的参数除了名字之外,最重要的是vocabulary_size和embedding_dim,vocabulary_size是词典的大小(不同label的个 … Web16. mar 2024 · SparseFeat is a namedtuple with signature SparseFeat(name, vocabulary_size, embedding_dim, use_hash, dtype, embeddings_initializer, embedding_name, group_name, trainable) name : feature name; vocabulary_size : number of unique feature values for sprase feature or hashing space when use_hash=True; Webdense_features = [ 'I' + str (i) for i in range ( 1, 14 )] data [sparse_features] = data [sparse_features].fillna ( '-1', ) data [dense_features] = data [dense_features].fillna ( 0, ) … bonus area