From 0563960695a5a6f69dc3c9348666a2a1162a1528 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E6=B5=85=E6=A2=A6?= Date: Sat, 18 Jun 2022 16:19:43 +0800 Subject: [PATCH 01/10] update ci --- .github/workflows/ci.yml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index fc3cdae4..9e2f6e26 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -17,8 +17,8 @@ jobs: timeout-minutes: 120 strategy: matrix: - python-version: [3.6,3.7] - torch-version: [1.1.0,1.2.0,1.3.0,1.4.0,1.5.0,1.6.0,1.7.0,1.8.1] + python-version: [3.6,3.7,3.8] + torch-version: [1.1.0,1.2.0,1.3.0,1.4.0,1.5.0,1.6.0,1.7.1,1.8.1,1.9.0,1.10.2,1.11.0] # exclude: # - python-version: 3.5 @@ -26,10 +26,10 @@ jobs: steps: - - uses: actions/checkout@v1 + - uses: actions/checkout@v3 - name: Setup python environment - uses: actions/setup-python@v1 + uses: actions/setup-python@v4 with: python-version: ${{ matrix.python-version }} @@ -47,7 +47,7 @@ jobs: pip install -q sklearn pytest --cov=deepctr_torch --cov-report=xml - name: Upload coverage to Codecov - uses: codecov/codecov-action@v1.0.2 + uses: codecov/codecov-action@v3.1.0 with: token: ${{secrets.CODECOV_TOKEN}} file: ./coverage.xml From 429b15b1595810e90c7b4239772bb1e6bd8d5e37 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E6=B5=85=E6=A2=A6?= Date: Sat, 18 Jun 2022 16:25:37 +0800 Subject: [PATCH 02/10] update ci --- .github/workflows/ci.yml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 9e2f6e26..2b1e853c 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -20,9 +20,9 @@ jobs: python-version: [3.6,3.7,3.8] torch-version: [1.1.0,1.2.0,1.3.0,1.4.0,1.5.0,1.6.0,1.7.1,1.8.1,1.9.0,1.10.2,1.11.0] -# exclude: -# - python-version: 3.5 -# tf-version: 1.1.0 + exclude: + - python-version: 3.6 + tf-version: 1.11.0 steps: From 16a6994f980d1adc57b9eb26a1dfac7e57c8df43 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E6=B5=85=E6=A2=A6?= Date: Sat, 18 Jun 2022 16:26:57 +0800 Subject: [PATCH 03/10] update ci --- .github/workflows/ci.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 2b1e853c..28a6f825 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -22,7 +22,7 @@ jobs: exclude: - python-version: 3.6 - tf-version: 1.11.0 + torch-version: 1.11.0 steps: From aca466871ae11e0f66058707d6da5364e8332b83 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E6=B5=85=E6=A2=A6?= Date: Sat, 18 Jun 2022 16:31:41 +0800 Subject: [PATCH 04/10] update ci --- .github/workflows/ci.yml | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 28a6f825..4dad4ba1 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -23,6 +23,12 @@ jobs: exclude: - python-version: 3.6 torch-version: 1.11.0 + - python-version: 3.8 + torch-version: 1.1.0 + - python-version: 3.8 + torch-version: 1.2.0 + - python-version: 3.8 + torch-version: 1.3.0 steps: From 61cc76b822e76321fc2ff411fafbaafb7028732c Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E6=B5=85=E6=A2=A6?= Date: Sun, 19 Jun 2022 11:39:18 +0800 Subject: [PATCH 05/10] no message --- README.md | 57 ++++++++++++------------------------ deepctr_torch/__init__.py | 2 +- docs/pics/planet_github.png | Bin 0 -> 8309 bytes docs/source/conf.py | 2 +- setup.py | 3 +- 5 files changed, 22 insertions(+), 42 deletions(-) create mode 100644 docs/pics/planet_github.png diff --git a/README.md b/README.md index 7c646933..2ff99c3b 100644 --- a/README.md +++ b/README.md @@ -45,34 +45,14 @@ Let's [**Get Started!**](https://deepctr-torch.readthedocs.io/en/latest/Quick-St -## DisscussionGroup & Related Projects - - - - - - - - -
- 公众号：浅梦学习笔记

- - - - 		- 微信：deepctrbot

- - - - 		- -
- +## DisscussionGroup + +- [Github Discussions](https://github.com/shenweichen/DeepCTR/discussions) +- Wechat Discussions + +|公众号：浅梦学习笔记|微信：deepctrbot|学习小组 [加入](https://t.zsxq.com/026UJEuzv) [主题集合](https://mp.weixin.qq.com/mp/appmsgalbum?__biz=MjM5MzY4NzE3MA==&action=getalbum&album_id=1361647041096843265&scene=126#wechat_redirect)| +|:--:|:--:|:--:| +| [![公众号](./docs/pics/code.png)](https://github.com/shenweichen/AlgoNotes)| [![微信](./docs/pics/deepctrbot.png)](https://github.com/shenweichen/AlgoNotes)|[![学习小组](./docs/pics/planet_github.png)](https://t.zsxq.com/026UJEuzv)| @@ -84,59 +64,58 @@ Let's [**Get Started!**](https://deepctr-torch.readthedocs.io/en/latest/Quick-St ​ pic
​ Shen Weichen ​ -

Core Dev
Zhejiang Unversity

​ +

Alibaba Group

​ ​ pic
​ Zan Shuxun -

Core Dev
Beijing University
of Posts and
Telecommunications

​ +

Alibaba Group

​ pic
Wang Ze ​ -

Core Dev
Beihang University

​ +

Meituan

​ ​ pic
Zhang Wutong -

Core Dev
Beijing University
of Posts and
Telecommunications

​ +

Tencent

​ ​ pic
​ Zhang Yuefeng -

Core Dev
- Peking University

​ +

Peking University

​ ​ pic
​ Huo Junyi -

Core Dev
+

University of Southampton

​ ​ pic
​ Zeng Kai ​ -

Dev
+

SenseTime

​ ​ pic
​ Chen K ​ -

Dev
+

NetEase

​ ​ pic
​ Cheng Weiyu ​ -

Dev
+

Shanghai Jiao Tong University

​ ​ pic
​ Tang -

Test
+

Tongji University

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4e44fe13..635ee54f 100644 --- a/setup.py +++ b/setup.py @@ -9,7 +9,7 @@ setuptools.setup( name="deepctr-torch", - version="0.2.7", + version="0.2.8", author="Weichen Shen", author_email="weichenswc@163.com", description="Easy-to-use,Modular and Extendible package of deep learning based CTR(Click Through Rate) prediction models with PyTorch", @@ -37,6 +37,7 @@ 'Programming Language :: Python :: 3.5', 'Programming Language :: Python :: 3.6', 'Programming Language :: Python :: 3.7', + 'Programming Language :: Python :: 3.8', 'Topic :: Scientific/Engineering', 'Topic :: Scientific/Engineering :: Artificial Intelligence', 'Topic :: Software Development', From 62fc32ef90d58761bd0602a8f2d82bd51dd705c1 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E6=B5=85=E6=A2=A6?= Date: Sun, 19 Jun 2022 12:01:15 +0800 Subject: [PATCH 06/10] no message --- README.md | 9 +++++++-- docs/pics/code2.jpg | Bin 0 -> 53499 bytes docs/source/index.rst | 6 ++++-- 3 files changed, 11 insertions(+), 4 deletions(-) create mode 100644 docs/pics/code2.jpg diff --git a/README.md b/README.md index 2ff99c3b..6d02554e 100644 --- a/README.md +++ b/README.md @@ -45,7 +45,7 @@ Let's [**Get Started!**](https://deepctr-torch.readthedocs.io/en/latest/Quick-St -## DisscussionGroup +## DisscussionGroup & Related Projects - [Github Discussions](https://github.com/shenweichen/DeepCTR/discussions) - Wechat Discussions @@ -54,7 +54,12 @@ Let's [**Get Started!**](https://deepctr-torch.readthedocs.io/en/latest/Quick-St |:--:|:--:|:--:| | [![公众号](./docs/pics/code.png)](https://github.com/shenweichen/AlgoNotes)| [![微信](./docs/pics/deepctrbot.png)](https://github.com/shenweichen/AlgoNotes)|[![学习小组](./docs/pics/planet_github.png)](https://t.zsxq.com/026UJEuzv)| +- Related Projects + - [AlgoNotes](https://github.com/shenweichen/AlgoNotes) + - [DeepCTR](https://github.com/shenweichen/DeepCTR) + - [DeepMatch](https://github.com/shenweichen/DeepMatch) + - [GraphEmbedding](https://github.com/shenweichen/GraphEmbedding) ## Main Contributors([welcome to join us!](./CONTRIBUTING.md)) @@ -64,7 +69,7 @@ Let's [**Get Started!**](https://deepctr-torch.readthedocs.io/en/latest/Quick-St ​ pic
​ Shen Weichen ​ -

Alibaba Group

​ +

Alibaba Group

​ ​ pic
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z+E8V(mtjptKcS99`ZlZ4Ige zO$=OCJ&fmQEVQXL8X-?zHE3%7zU!S-xM|Sdlwswv6 zKVhAJW@t{!s=XNrd0Type%8};)v`aLSzl!KHY&3|5Cq5X_z&p$MgP@my*JN-zDl!lIV5p0r4&*`NPr_DA zzJsx=698ET);lX{mYn&TJZJI6LP}6)mdoiGNkGZ*7V@{5fs7qV2S3`o zc$5&IQuTXDbbLegZkFHK@bFV7vNbQ`h))fA8RKd$4&XW?DH~4dzbkxD= z_015>lS2=GKO5t>I`&=1!56lh$9gS zqx7Up|8*a(Xm(?tJsB7?!KLwyO~zZln|p336{FjEEzDv47G_tS^ff+T)BD%3&4^Y^1J8MzV3W=n73$EHhE$q|IXYjl1zdzO+Ev$6>u(g&+JR=F!g+Prm!6E^GN<^sQQHOu$5i#*kQ}j-pu5%3)8d=f_4BCF__ROp34ex`Q@A_ITE$t*k zy=SP91^aYBY3Ap*nNvWU*n(XKHbDO$w+z%7)$@BB{*cClj20u zjEPVrL|XarP>~j6rIC8B4;z}|7hXDu^4#=l=kF~-f55l$N$@kL`XA3fFbN3fBJ@T|F%$l^4Ei|o zjNBelb>$RG_%eN0ePxY`S~c55j=EZ8loODzi#TL&yB2{#p5x2OEC2B?=>9J8&%&l_ z__G1{XpgdHc=?Yi#5Z%hCzMZz0@f~?74FTp&p%tvaljOg+p0oc8 DQr=M~ literal 0 HcmV?d00001 diff --git a/docs/source/index.rst b/docs/source/index.rst index 1701d403..14ab5bab 100644 --- a/docs/source/index.rst +++ b/docs/source/index.rst @@ -43,9 +43,11 @@ News DisscussionGroup ----------------------- -公众号：**浅梦学习笔记** wechat ID: **deepctrbot** + 公众号：**浅梦学习笔记** wechat ID: **deepctrbot** -.. image:: ../pics/code.png + `Discussions `_ `学习小组主题集合 `_ + +.. image:: ../pics/code2.jpg .. toctree:: :maxdepth: 2 From 6414b4f858c5e101836a27fa69476e165fc11925 Mon Sep 17 00:00:00 2001 From: nogeek Date: Sun, 19 Jun 2022 12:18:43 +0800 Subject: [PATCH 07/10] Update setup.py (#177) by `sklearn` you might mean `scikit-learn` --- setup.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/setup.py b/setup.py index 635ee54f..705a9905 100644 --- a/setup.py +++ b/setup.py @@ -4,7 +4,7 @@ long_description = fh.read() REQUIRED_PACKAGES = [ - 'torch>=1.1.0', 'tqdm', 'sklearn', 'tensorflow' + 'torch>=1.1.0', 'tqdm', 'scikit-learn', 'tensorflow' ] setuptools.setup( From 1241cd0ff4d1a38cd2d1a0943a7705437c75522c Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E6=B5=85=E6=A2=A6?= Date: Sun, 19 Jun 2022 13:36:43 +0800 Subject: [PATCH 08/10] no message --- docs/requirements.readthedocs.txt | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/docs/requirements.readthedocs.txt b/docs/requirements.readthedocs.txt index 80bc5e6d..793412bd 100644 --- a/docs/requirements.readthedocs.txt +++ b/docs/requirements.readthedocs.txt @@ -1,2 +1,3 @@ Cython>=0.28.5 -tensorflow==1.15.4 +tensorflow==2.7.2 +scikit-learn==1.0 From 6ba2e7c169e99d593f2ed4ba897fb45d52b8da3b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E6=B5=85=E6=A2=A6?= Date: Sun, 19 Jun 2022 13:53:11 +0800 Subject: [PATCH 09/10] no message --- deepctr_torch/models/basemodel.py | 1 - tests/savemodel_with_acc_test.py | 34 ---------------- tests/utils.py | 68 +++++++++++++++++-------------- 3 files changed, 37 insertions(+), 66 deletions(-) delete mode 100644 tests/savemodel_with_acc_test.py diff --git a/deepctr_torch/models/basemodel.py b/deepctr_torch/models/basemodel.py index d8b8fb36..17e57b90 100644 --- a/deepctr_torch/models/basemodel.py +++ b/deepctr_torch/models/basemodel.py @@ -16,7 +16,6 @@ import torch.nn.functional as F import torch.utils.data as Data from sklearn.metrics import * -from sklearn.metrics import accuracy_score from torch.utils.data import DataLoader from tqdm import tqdm diff --git a/tests/savemodel_with_acc_test.py b/tests/savemodel_with_acc_test.py deleted file mode 100644 index aa3a7d71..00000000 --- a/tests/savemodel_with_acc_test.py +++ /dev/null @@ -1,34 +0,0 @@ -""" -Date: 2021-07-13 11:59:44 -LastEditors: GodK -LastEditTime: 2021-07-13 12:26:11 -""" -import pytest -from deepctr_torch.models import DeepFM -from deepctr_torch.callbacks import EarlyStopping, ModelCheckpoint -from .utils import get_test_data, SAMPLE_SIZE,get_device - -@pytest.mark.parametrize( - 'use_fm,hidden_size,sparse_feature_num', - [(True, (32,), 3), - (False, (32,), 3), - (False, (32,), 2), (False, (32,), 1), (True, (), 1), (False, (), 2) - ] -) -def test_save(use_fm, hidden_size, sparse_feature_num): - sample_size = SAMPLE_SIZE - x, y, feature_columns = get_test_data( - sample_size, sparse_feature_num=sparse_feature_num, dense_feature_num=sparse_feature_num) - model = DeepFM(feature_columns, feature_columns, use_fm=use_fm, - dnn_hidden_units=hidden_size, dnn_dropout=0.5, device=get_device()) - - # test callbacks - early_stopping = EarlyStopping(monitor='val_acc', min_delta=0, verbose=1, patience=0, mode='max') - model_checkpoint = ModelCheckpoint(filepath='model.ckpt', monitor='val_acc', verbose=1, - save_best_only=True, - save_weights_only=False, mode='max', period=1) - model.compile('adam', 'binary_crossentropy', metrics=['binary_crossentropy','acc']) - model.fit(x, y, batch_size=64, epochs=3, validation_split=0.5, callbacks=[early_stopping, model_checkpoint]) - -if __name__ == "__main__": - pass \ No newline at end of file diff --git a/tests/utils.py b/tests/utils.py index 10abcecb..28f3010b 100644 --- a/tests/utils.py +++ b/tests/utils.py @@ -4,6 +4,7 @@ import numpy as np import torch as torch +from deepctr_torch.callbacks import EarlyStopping, ModelCheckpoint from deepctr_torch.inputs import SparseFeat, DenseFeat, VarLenSparseFeat SAMPLE_SIZE = 64 @@ -17,46 +18,46 @@ def gen_sequence(dim, max_len, sample_size): def get_test_data(sample_size=1000, embedding_size=4, sparse_feature_num=1, dense_feature_num=1, sequence_feature=['sum', 'mean', 'max'], classification=True, include_length=False, hash_flag=False, prefix=''): - - feature_columns = [] model_input = {} - - if 'weight' in sequence_feature: - feature_columns.append(VarLenSparseFeat(SparseFeat(prefix+"weighted_seq",vocabulary_size=2,embedding_dim=embedding_size),maxlen=3,length_name=prefix+"weighted_seq"+"_seq_length",weight_name=prefix+"weight")) + if 'weight' in sequence_feature: + feature_columns.append( + VarLenSparseFeat(SparseFeat(prefix + "weighted_seq", vocabulary_size=2, embedding_dim=embedding_size), + maxlen=3, length_name=prefix + "weighted_seq" + "_seq_length", + weight_name=prefix + "weight")) s_input, s_len_input = gen_sequence( 2, 3, sample_size) - model_input[prefix+"weighted_seq"] = s_input - model_input[prefix+'weight'] = np.random.randn(sample_size,3,1) - model_input[prefix+"weighted_seq"+"_seq_length"] = s_len_input + model_input[prefix + "weighted_seq"] = s_input + model_input[prefix + 'weight'] = np.random.randn(sample_size, 3, 1) + model_input[prefix + "weighted_seq" + "_seq_length"] = s_len_input sequence_feature.pop(sequence_feature.index('weight')) - for i in range(sparse_feature_num): dim = np.random.randint(1, 10) - feature_columns.append(SparseFeat(prefix+'sparse_feature_'+str(i), dim,embedding_size,dtype=torch.int32)) + feature_columns.append(SparseFeat(prefix + 'sparse_feature_' + str(i), dim, embedding_size, dtype=torch.int32)) for i in range(dense_feature_num): - feature_columns.append(DenseFeat(prefix+'dense_feature_'+str(i), 1,dtype=torch.float32)) + feature_columns.append(DenseFeat(prefix + 'dense_feature_' + str(i), 1, dtype=torch.float32)) for i, mode in enumerate(sequence_feature): dim = np.random.randint(1, 10) maxlen = np.random.randint(1, 10) feature_columns.append( - VarLenSparseFeat(SparseFeat(prefix +'sequence_' + mode,vocabulary_size=dim, embedding_dim=embedding_size), maxlen=maxlen, combiner=mode)) + VarLenSparseFeat(SparseFeat(prefix + 'sequence_' + mode, vocabulary_size=dim, embedding_dim=embedding_size), + maxlen=maxlen, combiner=mode)) for fc in feature_columns: - if isinstance(fc,SparseFeat): - model_input[fc.name]= np.random.randint(0, fc.vocabulary_size, sample_size) - elif isinstance(fc,DenseFeat): + if isinstance(fc, SparseFeat): + model_input[fc.name] = np.random.randint(0, fc.vocabulary_size, sample_size) + elif isinstance(fc, DenseFeat): model_input[fc.name] = np.random.random(sample_size) else: s_input, s_len_input = gen_sequence( fc.vocabulary_size, fc.maxlen, sample_size) model_input[fc.name] = s_input if include_length: - fc.length_name = prefix+"sequence_"+str(i)+'_seq_length' - model_input[prefix+"sequence_"+str(i)+'_seq_length'] = s_len_input + fc.length_name = prefix + "sequence_" + str(i) + '_seq_length' + model_input[prefix + "sequence_" + str(i) + '_seq_length'] = s_len_input if classification: y = np.random.randint(0, 2, sample_size) @@ -66,7 +67,7 @@ def get_test_data(sample_size=1000, embedding_size=4, sparse_feature_num=1, dens return model_input, y, feature_columns -def layer_test(layer_cls, kwargs = {}, input_shape=None, +def layer_test(layer_cls, kwargs={}, input_shape=None, input_dtype=torch.float32, input_data=None, expected_output=None, expected_output_shape=None, expected_output_dtype=None, fixed_batch_size=False): '''check layer is valid or not @@ -90,7 +91,7 @@ def layer_test(layer_cls, kwargs = {}, input_shape=None, for i, e in enumerate(input_data_shape): if e is None: input_data_shape[i] = np.random.randint(1, 4) - + if all(isinstance(e, tuple) for e in input_data_shape): input_data = [] for e in input_data_shape: @@ -104,37 +105,37 @@ def layer_test(layer_cls, kwargs = {}, input_shape=None, # use input_data to update other parameters if input_shape is None: input_shape = input_data.shape - + if expected_output_dtype is None: expected_output_dtype = input_dtype - + # layer initialization layer = layer_cls(**kwargs) - + if fixed_batch_size: inputs = torch.tensor(input_data.unsqueeze(0), dtype=input_dtype) else: inputs = torch.tensor(input_data, dtype=input_dtype) - + # calculate layer's output output = layer(inputs) if not output.dtype == expected_output_dtype: raise AssertionError("layer output dtype does not match with the expected one") - + if not expected_output_shape: - raise ValueError("expected output shape should not be none") + raise ValueError("expected output shape should not be none") actual_output_shape = output.shape for expected_dim, actual_dim in zip(expected_output_shape, actual_output_shape): if expected_dim is not None: if not expected_dim == actual_dim: raise AssertionError(f"expected_dim:{expected_dim}, actual_dim:{actual_dim}") - + if expected_output is not None: # check whether output equals to expected output assert_allclose(output, expected_output, rtol=1e-3) - + return output @@ -148,10 +149,14 @@ def check_model(model, model_name, x, y, check_model_io=True): :param check_model_io: :return: ''' + early_stopping = EarlyStopping(monitor='val_acc', min_delta=0, verbose=1, patience=0, mode='max') + model_checkpoint = ModelCheckpoint(filepath='model.ckpt', monitor='val_acc', verbose=1, + save_best_only=True, + save_weights_only=False, mode='max', period=1) model.compile('adam', 'binary_crossentropy', - metrics=['binary_crossentropy']) - model.fit(x, y, batch_size=100, epochs=1, validation_split=0.5) + metrics=['binary_crossentropy', 'acc']) + model.fit(x, y, batch_size=100, epochs=1, validation_split=0.5, callbacks=[early_stopping, model_checkpoint]) print(model_name + 'test, train valid pass!') torch.save(model.state_dict(), model_name + '_weights.h5') @@ -165,9 +170,10 @@ def check_model(model, model_name, x, y, check_model_io=True): print(model_name + 'test save load model pass!') print(model_name + 'test pass!') -def get_device(use_cuda = True): + +def get_device(use_cuda=True): device = 'cpu' if use_cuda and torch.cuda.is_available(): print('cuda ready...') device = 'cuda:0' - return device \ No newline at end of file + return device From 897a97094ddcc55d35e103e9f1d955eab21765d4 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E6=B5=85=E6=A2=A6?= Date: Sun, 19 Jun 2022 17:10:18 +0800 Subject: [PATCH 10/10] update doc --- docs/source/History.md | 3 ++- docs/source/index.rst | 3 ++- 2 files changed, 4 insertions(+), 2 deletions(-) diff --git a/docs/source/History.md b/docs/source/History.md index ec68a102..4984dfc4 100644 --- a/docs/source/History.md +++ b/docs/source/History.md @@ -1,5 +1,6 @@ # History -- 06/14/2021 : [v0.2.7](https://github.com/shenweichen/DeepCTR-Torch/releases/tag/v0.2.6) released.Add [AFN](./Features.html#afn-adaptive-factorization-network-learning-adaptive-order-feature-interactions) and fix some bugs. +- 06/19/2022 : [v0.2.8](https://github.com/shenweichen/DeepCTR-Torch/releases/tag/v0.2.8) released.Fix some bugs. +- 06/14/2021 : [v0.2.7](https://github.com/shenweichen/DeepCTR-Torch/releases/tag/v0.2.7) released.Add [AFN](./Features.html#afn-adaptive-factorization-network-learning-adaptive-order-feature-interactions) and fix some bugs. - 04/04/2021 : [v0.2.6](https://github.com/shenweichen/DeepCTR-Torch/releases/tag/v0.2.6) released.Add [IFM](./Features.html#ifm-input-aware-factorization-machine) and [DIFM](./Features.html#difm-dual-input-aware-factorization-machine);Support multi-gpus running([example](./FAQ.html#how-to-run-the-demo-with-multiple-gpus)). - 02/12/2021 : [v0.2.5](https://github.com/shenweichen/DeepCTR-Torch/releases/tag/v0.2.5) released.Fix bug in DCN-M. - 12/05/2020 : [v0.2.4](https://github.com/shenweichen/DeepCTR-Torch/releases/tag/v0.2.4) released.Imporve compatibility & fix issues.Add History callback.([example](https://deepctr-torch.readthedocs.io/en/latest/FAQ.html#set-learning-rate-and-use-earlystopping)). diff --git a/docs/source/index.rst b/docs/source/index.rst index 14ab5bab..497d232b 100644 --- a/docs/source/index.rst +++ b/docs/source/index.rst @@ -34,11 +34,12 @@ You can read the latest code at https://github.com/shenweichen/DeepCTR-Torch and News ----- +06/19/2022 : Fix some bugs. `Changelog `_ + 06/14/2021 : Add `AFN <./Features.html#afn-adaptive-factorization-network-learning-adaptive-order-feature-interactions>`_ and fix some bugs. `Changelog `_ 04/04/2021 : Add `IFM <./Features.html#ifm-input-aware-factorization-machine>`_ and `DIFM <./Features.html#difm-dual-input-aware-factorization-machine>`_ . Support multi-gpus running(`example <./FAQ.html#how-to-run-the-demo-with-multiple-gpus>`_). `Changelog `_ -02/12/2021 : Fix bug in DCN-M. `Changelog `_ DisscussionGroup -----------------------