v0.2.9

Change Log

Major Features and Improvements

1. Add multi-task models: SharedBottom, ESMM, MMOE, PLE @zanshuxun
2. Support Python 3.9 and 3.10 @shenweichen

Bug Fixes and Other Changes

• fix #232 #240 @zanshuxun

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v0.2.8

Change Log

Bug Fixes and Other Changes

• Fix model save error when using acc metric #106 @gaohongkui
• Fix model error when all feature columns are dense #192 @zanshuxun

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v0.2.7

Change Log

Major Features and Improvements

• Add AFN model @WeiyuCheng

Bug Fixes and Other Changes

• Fix callback error #171 @zanshuxun
• Fix VarLenSparseFeat error #176 #179 #180 @zanshuxun
• Change the output shape of InteractingLayer in Autoint #74 @zanshuxun

v0.2.6

Change Log

Major Features and Improvements

• Add IFM and DIFM model
• Support multi gpus running. example

v0.2.5

Change Log

Bug Fixes and Other Changes

• fix error in dcn-mix

v0.2.4

Change Log

Major Features and Improvements

• Add History callback(example)

Bug Fixes and Other Changes

• Solve issues in #69, #87, #93, #128, #130
• Fix regularization error in pytorch1.7,
• improve compatibility for old version

API changes

• Add History in deepctr_torch.callbacks

v0.2.3

Change Log

Major Features and Improvements

• Add new models: DCN-M and DCN-mix
• Add EarlyStopping and ModelCheckpoint callbacks, example

Bug Fixes and Other Changes

• Use float64 in metric to prevent nan/inf loss when calculating logloss

API changes

• DCN add a new parameter:
  cross_parameterization: string, "vector" or "matrix", way to parameterize the cross network.if set to "matrix" then it will be DCN-M
• Add EarlyStopping and ModelCheckpoint in deepctr_torch.callbacks

v0.2.2

Change Log

Major Features and Improvements

• Improve the reproducibility of models

Bug Fixes and Other Changes

Fix RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.FloatTensor [128]], which is output 0 of SelectBackward, is at version 2; expected version 1 instead. Hint: enable anomaly detection to find the operation that failed to compute its gradient, with torch.autograd.set_detect_anomaly(True) in :
#88
#98
#90
#102

v0.2.1

Change Log

Major Features and Improvements

Add DIN and DIEN

Bug Fixes and Other Changes

• fix bug of #63 softmax dim error in InteractingLayer

v0.2.0

Change Log

Major Features and Improvements

• Refactor feature columns.

• Different features can use different embedding_dim

• Add linear part to some models

• Add SequencePoolingLayer(API)

Bug Fixes and Other Changes

• Support double precision in metric calculation by setting use_double=True in model.fit() #15

API changes

• embedding_size parameter of models is removed.Now we must set embedding_dim(default 4) in SparseFeat or VarLenSparseFeat .