Releases: shenweichen/DeepCTR
Releases · shenweichen/DeepCTR
v0.6.1
Change Log
Major Features and Improvements
- Fix bug in
CCPM
model that incorrectly usinglinear_feature_columns
as DNN input features - Fix bug in
DynamicGRU
, a shape mismatch error will be caused in previous version when usingDIEN
with number of history_feature not equal to 2
v0.6.0
Change Log
Major Features and Improvements
- Now DeepCTR is compatible with tensorflow
1.14
and2.0
.
v0.5.2
Change Log
Major Features and Improvements
Refactor Linear
Layer
v0.5.1
Change Log
Major Features and Improvements
- Add FiBiNET Chinese Introducton FiBiNET:结合特征重要性和双线性特征交互进行CTR预估
v0.5.0
Change Log
Major Features and Improvements
- Refactor inputs module,now you can input different features to linear part and dnn part of the models.
- Dense value inputs are concated with the inputs of dnn instead of embed into dense vectors.
- previous versions of the code require modification to work properly,please refer new examples to update your codes.
v0.4.1
Change Log
Major Features and Improvements
- Add DSIN(Deep Session Interest Network)
paper code - Refactor layers
v0.4.0
Change Log
Major Features and Improvements
- Previous versions of the code require a little modification to work properly
- Support feature hashing on the fly in training and inference process example
- Add python2.7 support
- Refactor methods in
input_embedding.py
- Refactor layers and models
API changes
deepctr.utils.SingleFeat
anddeepctr.utisl.VarlenFeat
add new arguments to support feature hashingdeepctr.core.MLP
todeepctr.core.DNN
- arguments of all models and layers changes
v0.3.4 | v0.4.0 |
---|---|
l2_reg_deep | l2_reg_dnn |
activation | dnn_activation |
keep_prob | dnn_dropout |
hidden_size | dnn_hidden_units |
use_bn | dnn_use_bn |
final_activation | task |
v0.3.4
Change Log
Major Features and Improvements
- Add FGCNN(Feature Generation by Convolutional Neural Network)CCPM&FGCNN:使用CNN进行特征生成的CTR预测模型
- Add
FGCNNLayer
indeepctr.layers.interaction
doc - Now we can use deepctr under
tensorflow 1.13
, but there may be some compatibility issues.
v0.3.3
Change Log
Major Features and Improvements
- Add CCPM(Convolutional Click Prediction Model)
- Add
KMaxPooling
indeepctr.layers.sequence
doc