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当我运行几个混合推荐算法时,如:IPJF。都统一报错:缺少label标签。但是我的数据集中的inter已经包含了label。 另外我的yaml配置信息为(我认为没毛病):
field_separator: "\t" seq_separator: " "
USER_ID_FIELD: user_id ITEM_ID_FIELD: job_id #RATING_FIELD: rating #TIME_FIELD: timestamp DIRECT_FIELD: direct seq_len: ~
LABEL_FIELD: label threshold: label: 0.5
NEG_PREFIX: neg_
USER_DOC_FIELD: user_doc ITEM_DOC_FIELD: job_doc
load_col: inter: [user_id, job_id, direct, label]
udoc: [user_id, user_doc] idoc: [job_id, job_doc]
unload_col: ~ unused_col: ~
rm_dup_inter: ~ val_interval: ~ filter_inter_by_user_or_item: True user_inter_num_interval: ~ item_inter_num_interval: ~
alias_of_user_id: ~ alias_of_item_id: ~ alias_of_entity_id: ~ alias_of_relation_id: ~ preload_weight: ~ normalize_field: ~
biliteral: True
encoding: utf-8
The text was updated successfully, but these errors were encountered:
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您好,我今天也遇到了同样的问题
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当我运行几个混合推荐算法时,如:IPJF。都统一报错:缺少label标签。但是我的数据集中的inter已经包含了label。
另外我的yaml配置信息为(我认为没毛病):
Atomic File Format
field_separator: "\t"
seq_separator: " "
Common Features
USER_ID_FIELD: user_id
ITEM_ID_FIELD: job_id
#RATING_FIELD: rating
#TIME_FIELD: timestamp
DIRECT_FIELD: direct
seq_len: ~
Label for Point-wise DataLoader
LABEL_FIELD: label
threshold:
label: 0.5
NegSample Prefix for Pair-wise DataLoader
NEG_PREFIX: neg_
Text Model Needed
USER_DOC_FIELD: user_doc
ITEM_DOC_FIELD: job_doc
Selectively Loading
load_col:
inter: [user_id, job_id, direct, label]
user: [user_id, live_city_id]
item: [job_id, city]
unload_col: ~
unused_col: ~
Filtering
rm_dup_inter: ~
val_interval: ~
filter_inter_by_user_or_item: True
user_inter_num_interval: ~
item_inter_num_interval: ~
Preprocessing
alias_of_user_id: ~
alias_of_item_id: ~
alias_of_entity_id: ~
alias_of_relation_id: ~
preload_weight: ~
normalize_field: ~
biliteral: True
encoding: utf-8
The text was updated successfully, but these errors were encountered: