toyML
介绍
工业界常见机器学习算法，实现：
-
Learning to Rank
- LambdaGBDT
- LambdaDNN
-
CTR预估
- LR (Logistic Regression)
- XGBoost + LR
- DIN (Deep Interest Network)
-
Re-ranking 重排序
- LambdaDNN
- DLCM (Deep Listwise Context Model)
- PRM (Personalized Re-ranking Model)
-
召回
- itemCF
- node2vec
- YouTubeDNN
- SBCNM (Sampling-Bias-Corrected Neural Model)
- DSSM (Deep Structured Semantic Model)
Hive-UDF实现tf.feature_column特征处理，包括：
- 离线特征哈希，categorical_column_with_hash_bucket
- 离散特征词典索引，categorical_column_with_vocabulary_list
- 连续特征分箱，bucketized_column