A framework for large scale recommendation algorithms.

Related tags

Recommender SystemsEasyRec
Overview

EasyRec简介

What is EasyRec?

intro.png

EasyRec is an easy to use framework for Recommendation

EasyRec致力于成为容易上手的工业界深度学习推荐算法框架，支持大规模训练、评估、导出和部署。EasyRec实现了业界领先的模型，包含排序、召回、多目标等模型，支持超参搜索，显著降低了建模的复杂度和工作量。

Why EasyRec?

Run everywhere

Diversified input data

Simple to config

  • Flexible feature config and simple model config
  • Efficient and robust feature generation[used in taobao]
  • Nice web interface in development

It is smart

Large scale and easy deployment

  • Support large scale embedding, incremental saving
  • Many parallel strategies: ParameterServer, Mirrored, MultiWorker
  • Easy deployment to EAS: automatic scaling, easy monitoring
  • Consistency guarantee: train and serving

A variety of models

Easy to customize

Get Started

  • Download
    git clone https://github.com/AlibabaPAI/EasyRec.git
    wget https://easyrec.oss-cn-beijing.aliyuncs.com/data/easyrec_data_20210818.tar.gz
    sh scripts/gen_proto.sh
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Comments
  • update hpo nni

    update hpo nni

    1. update hpo nni
    • merge oss_config,odps_config,easyrec_cmd_config,metric_config->config
    • add exit code
    • add easyrec_cmd compatibility（‘’，“”，whitespace）
    • update log
    • add exit when it is wrong
    1. update docs
    ci_test_passed ci_py3_test_passed ci_py3_tf25_test_passed 
    opened by yjjinjie 15
  • AttributeError: module 'tensorflow._api.v2.data' has no attribute 'TableRecordDataset'

    AttributeError: module 'tensorflow._api.v2.data' has no attribute 'TableRecordDataset'

    When running the command to train model:

    CUDA_VISIBLE_DEVICES=0 python3 -m easy_rec.python.train_eval --pipeline_config_path deepfm.config

    Something went wrong

    AttributeError: module 'tensorflow._api.v2.data' has no attribute 'TableRecordDataset'

    The operating environment is as follows

    os: ubuntu16.04
python: 3.8.15
tensorflow-gpu: 2.11.0
easy-rec: 0.6.0(installed from git)
    opened by aiot-tech 2
  • [bugfix]: incr record add support for int32 indices; refactor embedding name to ids mapping

    [bugfix]: incr record add support for int32 indices; refactor embedding name to ids mapping

    incr record add support for int32 indices; refactor embedding name to ids mapping to ensure online offline consistency; datahub input filters inactive input shards, add retry when network is not stable.

    ci_test_passed ci_py3_test_passed 
    opened by chengmengli06 7
Releases(v0.6.0)

  • v0.6.0(Nov 28, 2022)

    What's Changed

    • [bugfix]: update python publich ci yml by @chengmengli06 in https://github.com/alibaba/EasyRec/pull/294
    • [feat]: CSVPredictor support embedding input by @chenglongliu123 in https://github.com/alibaba/EasyRec/pull/298
    • [doc]: update nni hpo docs by @yjjinjie in https://github.com/alibaba/EasyRec/pull/299
    • [doc]: add docs for ev and sample_weight by @chengmengli06 in https://github.com/alibaba/EasyRec/pull/305
    • [bugfix]: Fix dist eval ps high memory bug by @lgqfhwy in https://github.com/alibaba/EasyRec/pull/302
    • update hpo docs and remove tensorflow in runtime.txt by @yjjinjie in https://github.com/alibaba/EasyRec/pull/307
    • [bugfix]: fix negative sample using hive input bug by @chengmengli06 in https://github.com/alibaba/EasyRec/pull/309
    • [bugfix]: of GAUC/Session AUC metric when the id field is not configurated in feature groups by @yangxudong in https://github.com/alibaba/EasyRec/pull/315
    • [bugfix]: improve ckpt restore performance by @chengmengli06 in https://github.com/alibaba/EasyRec/pull/311
    • [docs] update fine_tune_checkpoint specification by @chengmengli06 in https://github.com/alibaba/EasyRec/pull/317
    • [bugfix]: fix share input bug by @chengmengli06 in https://github.com/alibaba/EasyRec/pull/313
    • [feat]add udf for label by @dawn310826 in https://github.com/alibaba/EasyRec/pull/303

    Full Changelog: https://github.com/alibaba/EasyRec/compare/v0.5.6...v0.6.0

    Source code(tar.gz)
    Source code(zip)
    easy_rec-0.6.0-py2.py3-none-any.whl(15.46 MB)

  • v0.5.6(Oct 15, 2022)

    What's Changed

    • [bugfix]: fix load_fg_json_to_config, make it reentrant by @chengmengli06 in https://github.com/alibaba/EasyRec/pull/204

    • [bugfix]: fix slow node crush in hive predictor by @dawn310826 in https://github.com/alibaba/EasyRec/pull/220

    • [bugfix]: fix bug of softmax_loss_with_negative_mining loss by @yangxudong in https://github.com/alibaba/EasyRec/pull/237

    • [bugfix]: fix bug for distribute eval worker hangs by @lgqfhwy in https://github.com/alibaba/EasyRec/pull/252

    • [bugfix]: fix embedding variable restore bug by @chengmengli06 in https://github.com/alibaba/EasyRec/pull/234

    • [bugfix]: fix share not used bug by @chengmengli06 in https://github.com/alibaba/EasyRec/pull/233

    • [bugfix]: fix bug of sequence feature rtp input by @yangxudong in https://github.com/alibaba/EasyRec/pull/258

    • [bugfix]: fix bug for sequence feature wide and deep by @lgqfhwy in https://github.com/alibaba/EasyRec/pull/270

    • [bugfix] export user_emb and item_emb used to calculate simularity by @cosmozhang1995 in https://github.com/alibaba/EasyRec/pull/277

    • [feature]: add docker file by @chengmengli06 in https://github.com/alibaba/EasyRec/pull/211

    • [feature]: support gzipped csv files by @chengmengli06 in https://github.com/alibaba/EasyRec/pull/203

    • [feature]: add hive rtp input by @dawn310826 in https://github.com/alibaba/EasyRec/pull/200

    • [feature]: add ngpu train scripts by @chengmengli06 in https://github.com/alibaba/EasyRec/pull/213

    • [feature]: add hadoop env in Dockerfile by @tiankongdeguiji in https://github.com/alibaba/EasyRec/pull/214

    • [feature]: update hive predictor: load predict result to hive by @dawn310826 in https://github.com/alibaba/EasyRec/pull/215

    • [feature]: add support for clear_model and clear_export option by @chengmengli06 in https://github.com/alibaba/EasyRec/pull/218

    • [feature]: add CMBF model by @yangxudong in https://github.com/alibaba/EasyRec/pull/217

    • [feature]: add nni hpo, json.load->yaml.safe.load,codestyle by @yjjinjie in https://github.com/alibaba/EasyRec/pull/222

    • [feature]: add CMBF layer for DBMTL model by @yangxudong in https://github.com/alibaba/EasyRec/pull/223

    • [feature]: support checkpoint_path dir by @dawn310826 in https://github.com/alibaba/EasyRec/pull/225

    • [feature]: optimize io cost of hiveinput and add hiveparquetinput by @dawn310826 in https://github.com/alibaba/EasyRec/pull/224

    • [feature]: modify document structure by @yangxudong in https://github.com/alibaba/EasyRec/pull/226

    • [feature]: add support for incremental_train.md by @chengmengli06 in https://github.com/alibaba/EasyRec/pull/228

    • [feature]: add support easyrec distribute metrics by @lgqfhwy in https://github.com/alibaba/EasyRec/pull/201

    • [feature]: add support for frequency filter and steps_to_alive for embedding variable by @chengmengli06 in https://github.com/alibaba/EasyRec/pull/231

    • [feature]: add incremental update for odl by @chengmengli06 in https://github.com/alibaba/EasyRec/pull/257

    • [feature]: support csv with header by @dawn310826 in https://github.com/alibaba/EasyRec/pull/285

    • [feature]: add designer doc by @chengmengli06 in https://github.com/alibaba/EasyRec/pull/287

    • [feature]: support gnn on datascience by @dawn310826 in https://github.com/alibaba/EasyRec/pull/229

    • [feature]: support hit rate on ds by @dawn310826 in https://github.com/alibaba/EasyRec/pull/244

    • [feature]: add user define eval_result_path by @lgqfhwy in https://github.com/alibaba/EasyRec/pull/245

    • [feature]: fix bug of fail to assign default value of rtp input field by @yangxudong in https://github.com/alibaba/EasyRec/pull/232

    • [feature]: add support for tf25 py3 test by @chengmengli06 in https://github.com/alibaba/EasyRec/pull/255

    • [feature]: support multi loss for multi task learning model by @yangxudong in https://github.com/alibaba/EasyRec/pull/260

    • [feature]: support only sequence feature && fix neg sampler bug for sequence feature by @lgqfhwy in https://github.com/alibaba/EasyRec/pull/264

    • [feature]: add aux_hist_seq by @lgqfhwy in https://github.com/alibaba/EasyRec/pull/265

    • [feature]: add Uniter model and Uniter layer for DBMTL model by @yangxudong in https://github.com/alibaba/EasyRec/pull/266

    • [feature]: add sequence feature negative sample process by @lgqfhwy in https://github.com/alibaba/EasyRec/pull/267

    • [feature]: features/cmbf by @yangxudong in https://github.com/alibaba/EasyRec/pull/268

    • [feature]: add dlc tutorial by @chengmengli06 in https://github.com/alibaba/EasyRec/pull/272

    • [feature]: fix rtp_native documentation: add reserve_default: false in fg.json by @cosmozhang1995 in https://github.com/alibaba/EasyRec/pull/278

    • [feature]: add pycharm vscode docker environment by @chengmengli06 in https://github.com/alibaba/EasyRec/pull/293

    New Contributors

    • @yjjinjie made their first contribution in https://github.com/alibaba/EasyRec/pull/222
    • @chenglongliu123 made their first contribution in https://github.com/alibaba/EasyRec/pull/279

    Full Changelog: https://github.com/alibaba/EasyRec/compare/v0.4.7...v0.5.6

    Source code(tar.gz)
    Source code(zip)

  • v0.4.7(May 26, 2022)

    What's Changed

    • [feat]: add distribute eval for ds environment by @lgqfhwy in https://github.com/alibaba/EasyRec/pull/167
    • [feat]: add pre-check by @dawn310826 in https://github.com/alibaba/EasyRec/pull/159
    • [feat]: add f1 reweighted loss for multi tower model & make odpsRtpInput support extra input column
    • [feat]: add mlperf config on criteo by @chengmengli06 in https://github.com/alibaba/EasyRec/pull/128
    • [feat]: add mind neg sam by @chengmengli06 in https://github.com/alibaba/EasyRec/pull/108
    • [doc]: autocross doc update by @weidankong in https://github.com/alibaba/EasyRec/pull/191
    • [feat]: refactor predictor by @dawn310826 in https://github.com/alibaba/EasyRec/pull/186
    • [bugfix]: fix bug in dropoutnet.md by @kinghuin in https://github.com/alibaba/EasyRec/pull/194
    • [bugfix]: fix several code bugs and document bugs.

    Docker

    • mybigpai-registry.cn-beijing.cr.aliyuncs.com/easyrec/easyrec:py36-tf1.15-0.4.7

    New Contributors

    • @muxuezi made their first contribution in https://github.com/alibaba/EasyRec/pull/192
    • @weidankong made their first contribution in https://github.com/alibaba/EasyRec/pull/191
    • @kinghuin made their first contribution in https://github.com/alibaba/EasyRec/pull/194
    • Great appreciations to all the contributors, thanks for your contributions!
    Source code(tar.gz)
    Source code(zip)
    easy_rec-0.4.7-py2.py3-none-any.whl(4.12 MB)

  • v0.4.4(Apr 19, 2022)

  • v0.4.2(Apr 19, 2022)

  • v0.4.0(Mar 10, 2022)

    Major Features and Improvements

    • fix final exporter bug under ps-worker-evaluator mode;
    • fix fg export bug for multi-task models;
    • add dlrm models;
    • add vector retrieve function;
    • add interface to export checkpoints which could run on alibaba RTP(RealTime serving Platform);
    • add support for hive table as data input;
    • add support for export embedding variable(kv embedding) separately from dense variables;
    • add support for multi optimizers and gradient freezing ability.

    Download

    easy_rec-0.4.0-py2.py3-none-any.whl

    Source code(tar.gz)
    Source code(zip)

  • v0.3.0(Jan 22, 2022)

    Release 0.3.0

    Major Features and Improvements

    • Add support for sequence feature #62
    • Update esmm loss function #76
    • Add auc.num_thresholds setting #76
    • Add Cold start model #80
    • Add Collaborative Metric Learning i2i model #80
    • Add TextCNN model #80
    • Compat with DataScience enviroment #86
    • Support offline inference on DataScience #100
    • Add Unit Test #91

    Bug Fixes and Other Changes

    • Fix bug in partitioned variable restore #71
    • Fix bug in variational dropout and rocket launching #93

    Documentation update

    • Add document for Cold start model, Collaborative Metric Learning i2i model and TextCNN model #80
    Source code(tar.gz)
    Source code(zip)

  • v0.2.0(Nov 17, 2021)

    Release 0.2.0

    Major Features and Improvements

    • Support for early stop #1
    • Support for stop by num_epoch #5
    • Release MultiTask model PLE #8
    • Compatible with feature_configs and feature_config.features #48
    • import fg_json to easyrec_config #54
    • upgrade params in feature config to higher precision #65
    • add write_graph option to train config. #65
    • Compatible with FG dtype and EasyRec dtype #66

    Bug Fixes and Other Changes

    • fix hyperparams_builder bug in tf2 #64
    • fix default value bug in inference #66
    • fix workqueue dtype bug in OdpsRTPInput #67

    Documentation update

    • update tutorial doc #56 #68
    • update train doc #4
    • update hpo doc #4
    • update feature doc #6
    • update inference doc #7 #56
    • update develop doc #56
    • update optimize doc #56
    • update release doc #56
    • update readme #56 #58
    Source code(tar.gz)
    Source code(zip)

  • v0.1.4(Aug 23, 2021)

  • v0.1.0(Aug 23, 2021)

Owner
Alibaba Group - PAI
Platform of AI
Alibaba Group - PAI
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