├── .gitignore ├── LICENSE ├── README.md ├── examples.py ├── examples ├── BaiduApi │ └── newsSummary.py ├── HashTrick │ ├── __init__.py │ ├── hash_function.py │ └── hashcode.py ├── LIBSVM │ ├── __init__.py │ └── xgb.py ├── LoadData │ ├── __init__.py │ └── pytorch.py ├── Milvus │ ├── __init__.py │ └── demo.py ├── __init__.py ├── accelerate │ ├── __init__.py │ └── numba.py ├── args │ ├── __init__.py │ ├── args.py │ └── args_run.py ├── cache │ ├── __init__.py │ └── cache.py ├── cangtoushi │ ├── __init__.py │ └── main.py ├── capsule.py ├── client │ ├── __init__.py │ └── rpc.py ├── colors.py ├── crf │ ├── __init__.py │ └── data.py ├── deploy │ ├── run.sh │ ├── sanic&pyspark.py │ └── train_lr.py ├── fm │ ├── __init__.py │ └── xlearn_.py ├── ganhuo │ └── 干货.md ├── git │ ├── README.md │ └── __init__.py ├── gpu_catb.py ├── gpu_lgb.py ├── gpu_xgb.py ├── inputs.py ├── json │ ├── __init__.py │ └── read_json.py ├── keras │ ├── __init__.py │ └── wandb_example.py ├── locust_qps │ ├── __init__.py │ └── qps.py ├── ml │ ├── __init__.py │ ├── featureSelector.py │ ├── h2o.py │ └── imbalanced__learn.py ├── nlp │ ├── __init__.py │ └── stanford.py ├── opt │ ├── __init__.py │ ├── bayes_opt_demo.py │ ├── lgb.py │ ├── params.yml │ └── sk_cv.py ├── pandas_profiling_eda.py ├── pypy │ ├── cut.py │ ├── get.sh │ ├── kaggle.py │ └── pypytest.py ├── qps │ ├── __init__.py │ ├── post.json │ ├── result.txt │ └── siege.sh ├── report.py ├── sanic │ ├── __init__.py │ ├── df.html │ ├── download.py │ ├── example.py │ ├── model_hot_update.py │ ├── plus.py │ ├── restful_flask.py │ ├── restful_sanic.py │ ├── upload.py │ └── xx ├── sched │ ├── __init__.py │ └── demo.py ├── sender.py ├── super.py ├── textcnn.py ├── textcnn_fasttext.py ├── ui │ ├── __init__.py │ └── demo.py ├── web │ ├── __init__.py │ ├── index.html │ ├── jinja_example.py │ ├── s.py │ ├── streamlit_.py │ └── templates │ │ ├── __init__.py │ │ └── example_template.html ├── xlearn_.py ├── yaml.yaml ├── yaml_demo.py └── yaml_demo.yaml ├── ext ├── Bash │ ├── alias.sh │ ├── args.sh │ ├── centos_python3.6 │ ├── cmake.sh │ ├── config_kaggle.sh │ ├── curl.sh │ ├── fs_get.sh │ ├── git_push.sh │ ├── hdfs │ │ ├── README.md │ │ └── __init__.py │ ├── install_lgb.sh │ ├── install_xgb.sh │ ├── jupyter-ManyPrint.sh │ ├── jupyter-black.sh │ ├── kaggle.json │ ├── opencv.sh │ ├── opts.sh │ ├── pypy_install.sh │ ├── python3.sh │ ├── readlink.sh │ ├── run_glove.sh │ ├── run_jupyter_notebook.sh │ ├── scp_from_local.sh │ ├── scp_to_local.sh │ ├── spark_train.sh │ ├── string.sh │ ├── tzdata.sh │ └── ubuntu_python3.6 ├── DB │ └── redis │ │ ├── README.md │ │ └── utils.py ├── DataMining │ ├── 0_DA │ │ ├── README.md │ │ ├── __init__.py │ │ ├── udfs │ │ │ ├── README.md │ │ │ ├── __init__.py │ │ │ ├── _string.py │ │ │ ├── data_describe.py │ │ │ ├── data_transform.py │ │ │ ├── feature_selection.py │ │ │ ├── model_selection.py │ │ │ └── text │ │ │ │ ├── README.md │ │ │ │ ├── __init__.py │ │ │ │ ├── preprocessing.py │ │ │ │ └── stop_words.txt │ │ └── utils │ │ │ └── README.md │ ├── 1_DataExploration │ │ ├── 0_Visualization │ │ │ ├── DecisionTree.ipynb │ │ │ ├── README.md │ │ │ └── gis.md │ │ ├── 1_Describe │ │ │ ├── DataFrameSummary.py │ │ │ ├── README.md │ │ │ ├── REPORT.md │ │ │ └── __init__.py │ │ ├── 2_Matplotlib │ │ │ ├── 1_Matplotlib.ipynb │ │ │ └── README.md │ │ ├── 3_Seaborn │ │ │ ├── 1_Controlling figure aesthetics.ipynb │ │ │ ├── 2_Choosing color palettes.ipynb │ │ │ ├── 3_Visualizing the distribution of a dataset.ipynb │ │ │ ├── 4_Visualizing linear relationships.ipynb │ │ │ ├── 5_Plotting with categorical data.ipynb │ │ │ ├── 6_Structured grids.ipynb │ │ │ ├── README.md │ │ │ └── chart suggestions.png │ │ ├── 4_Missingno │ │ │ └── README.md │ │ ├── 5_Facets │ │ │ └── README.md │ │ ├── 6_pandas-profiling │ │ │ └── README.md │ │ ├── 7_EvaluatorPlot │ │ │ └── README.md │ │ ├── README.md │ │ └── __init__.py │ ├── 2_DataPreprocessing │ │ ├── README.md │ │ ├── data_split_block.md │ │ └── 样本过滤.md │ ├── 3_FeatureEngineering │ │ ├── 0_PipeLine │ │ │ └── README.md │ │ ├── 1_CategoricalEncoding │ │ │ ├── NNEmbedding.md │ │ │ └── README.md │ │ ├── 2_FeatureExtraction │ │ │ └── README.md │ │ ├── 3_FeatureSelection │ │ │ ├── 0_utils.md │ │ │ ├── 1_sklearn.feature_selection.md │ │ │ ├── 2_informationValue.md │ │ │ ├── 3_getCorrelationFeatures.md │ │ │ ├── README.md │ │ │ └── RFE.md │ │ ├── 4_HighOrderFeature │ │ │ ├── 1_GBDTFeature.md │ │ │ ├── 2_DAE.md │ │ │ ├── 3_GeneticProgrammingSymbolicLearningREADME.md │ │ │ └── README.md │ │ ├── 5_featuretools │ │ │ └── README.md │ │ ├── Box-Cox │ │ │ ├── Box-Cox.ipynb │ │ │ └── sample_data.csv │ │ ├── README.md │ │ ├── SmoothMapping │ │ │ ├── BayesianSmoothing.py │ │ │ ├── MDLP.py │ │ │ ├── MonotonicBinning.md │ │ │ ├── README.md │ │ │ └── __init__.py │ │ ├── __init__.py │ │ ├── missingno │ │ │ └── README.md │ │ ├── pipline.ipynb │ │ ├── sklearn_pandas.ipynb │ │ └── smbinning │ │ │ ├── README.md │ │ │ ├── __init__.py │ │ │ ├── entropy.py │ │ │ └── mdlp.py │ ├── 4_ProbabilityAndMathematicalStatistics │ │ ├── LogicalReasoningAndCausality.md │ │ └── README.md │ ├── 5_PopularAlgorithm │ │ ├── 1_Boosting │ │ │ ├── 1_lgb │ │ │ │ └── README.md │ │ │ ├── 2_xgb │ │ │ │ ├── README.md │ │ │ │ ├── Xgboost+LR.md │ │ │ │ └── 调参指南.md │ │ │ ├── 3_catboost │ │ │ │ └── README.md │ │ │ ├── README.md │ │ │ └── def_fobj_feval.md │ │ ├── 2_FactorizationMachine │ │ │ ├── FFM │ │ │ │ ├── DF2libffm.md │ │ │ │ ├── FFM.py │ │ │ │ ├── FfmEncoder.py │ │ │ │ ├── OneEncoding2libffm.py │ │ │ │ ├── README.md │ │ │ │ └── __init__.py │ │ │ ├── README.md │ │ │ ├── Xlearn │ │ │ │ └── README.md │ │ │ └── __init__.py │ │ ├── 3_RGF │ │ │ └── README.md │ │ ├── 4_Clustering │ │ │ └── README.md │ │ ├── LogisticRegession.ipynb │ │ ├── README.md │ │ ├── ScoreCardModel │ │ │ └── README.md │ │ ├── __init__.py │ │ └── gcForest.md │ ├── 6_ModelEnsembling │ │ ├── 1_Bagging │ │ │ ├── 1_RandomForest.md │ │ │ ├── 2_ExtraTrees.md │ │ │ ├── 3_RandomTreesEmbedding.md │ │ │ ├── 4_IsolationForest.md │ │ │ └── README.md │ │ ├── 2_Boosting │ │ │ ├── 1_AdaBoost.md │ │ │ ├── 2_GBDT.md │ │ │ ├── 3_XGBoost.md │ │ │ ├── 4_LightGBM.md │ │ │ ├── README.md │ │ │ └── 原理.md │ │ ├── 3_Stacking │ │ │ ├── ModelEnsembling.py │ │ │ ├── README.md │ │ │ ├── StackNet.md │ │ │ ├── __init__.py │ │ │ ├── myStacking.md │ │ │ └── stacking_feature.py │ │ ├── README.md │ │ └── __init__.py │ ├── 7_Metrics │ │ ├── 1_Entropy │ │ │ └── README.md │ │ ├── 2_Distance │ │ │ └── README.md │ │ ├── FocalLoss.md │ │ ├── Metrics.ipynb │ │ ├── Metrics │ │ │ ├── README.md │ │ │ └── gini.md │ │ ├── Pictures │ │ │ ├── 11.png │ │ │ └── README.md │ │ ├── README.md │ │ └── auc.md │ ├── 8_ParametersTuning │ │ ├── BayesianOptimization │ │ │ ├── Demo.md │ │ │ ├── README.md │ │ │ ├── TuningCV.py │ │ │ ├── Usages.ipynb │ │ │ ├── __init__.py │ │ │ ├── lgb_cv.py │ │ │ └── xgb_cv.py │ │ ├── README.md │ │ ├── __init__.py │ │ ├── auto_ml │ │ │ └── README.md │ │ ├── hyperopt │ │ │ └── README.md │ │ └── scikit-optimize │ ├── 9__ApplyScenes │ │ └── README.md │ └── __init__.py ├── Mac │ └── README.md ├── NN │ ├── Tensorflow │ │ ├── 01_basics.py │ │ └── __init__.py │ ├── Torch │ │ ├── 01_TASK │ │ │ ├── __init__.py │ │ │ └── readme.md │ │ ├── 02_TASK │ │ │ ├── __init__.py │ │ │ ├── nn.py │ │ │ ├── numpy_GB.py │ │ │ ├── pytorch_GM.py │ │ │ └── readme.md │ │ ├── 04_TASK │ │ │ ├── __init__.py │ │ │ └── mlp.py │ │ ├── 05_TASK │ │ │ ├── __init__.py │ │ │ ├── dropout.py │ │ │ └── l1l2.py │ │ ├── __init__.py │ │ ├── readme.md │ │ └── utils.py │ ├── __init__.py │ ├── datawhale_nlp │ │ ├── Day_01.ipynb │ │ ├── Task_02.py │ │ ├── Task_03.py │ │ ├── Task_04_BayesSVM.py │ │ ├── Task_04_LDAPSI.py │ │ ├── Task_05_NN.md │ │ ├── Task_06_FastText.md │ │ ├── Task_07_CNN.md │ │ ├── Task_08_RNN.md │ │ ├── Task_09_Attention.md │ │ ├── Task_10_Bert.md │ │ ├── __init__.py │ │ ├── pred.csv │ │ ├── readme.md │ │ ├── test.csv │ │ └── train.csv │ └── readme.md ├── Xmind │ ├── ML.xmind │ ├── __init__.py │ ├── baseKnowledge.xmind │ ├── featuretools.xmind │ ├── interview.xmind │ └── modelPipline.xmind ├── git.md └── h_browser.keytab ├── git_push_install.sh ├── md2html.md ├── pypi.sh ├── requirements.txt ├── setup.py └── tql ├── TODO.md ├── __init__.py ├── _data ├── __init__.py ├── coordinate.py └── stop_words.txt ├── algo_cv └── __init__.py ├── algo_dl ├── README.md ├── __init__.py ├── keras │ ├── FeatureColumnsAndFunctionalAPI.py │ ├── README.md │ ├── __init__.py │ ├── layers │ │ ├── __init__.py │ │ ├── feature_lays.py │ │ ├── get_embedding_layer.py │ │ └── mid_layer.py │ ├── models │ │ ├── BaseModel.py │ │ ├── Capsule.py │ │ ├── EntityEmbedding.py │ │ ├── KerasFM.py │ │ ├── SavedModel.py │ │ ├── TextCNN.py │ │ ├── TextFast.py │ │ ├── TextHAN.py │ │ ├── TextRCNN.py │ │ ├── TextRCNNVariant.py │ │ ├── TextRNN.py │ │ ├── TextRNNBi.py │ │ ├── TextRNNBiAtt.py │ │ ├── __init__.py │ │ └── bert_keras.py │ └── utils │ │ ├── Callbacks.py │ │ ├── ConfigKeras.py │ │ ├── DataIter.py │ │ ├── _DataGenerator.py │ │ ├── __init__.py │ │ ├── losses.py │ │ └── metrics.py ├── pytorch │ ├── README.md │ ├── __init__.py │ ├── tricks.md │ └── utils │ │ ├── ConfigTorch.py │ │ ├── CustomDataset.py │ │ ├── WeightInit.py │ │ ├── __init__.py │ │ └── models │ │ ├── BILSTM.py │ │ ├── __init__.py │ │ └── lr.py ├── tensorflow │ ├── __init__.py │ └── utils │ │ ├── DataLoader.py │ │ ├── FeatureColumns.py │ │ ├── README.md │ │ ├── __init__.py │ │ └── cats.txt └── utils │ └── __init__.py ├── algo_loss_metric ├── MAE.md ├── __init__.py ├── dist.py ├── distance_.py ├── keras_loss.md ├── losses.md └── online_info │ ├── __init__.py │ └── get_label.py ├── algo_ml ├── __init__.py ├── cv │ ├── CV.py │ ├── CVPlus.py │ ├── CatBoostClassifierCV.py │ ├── FMMModelCV.py │ ├── FMModelCV.py │ ├── KerasCV.py │ ├── LGBMClassifierCV.py │ ├── LogisticRegressionCV.py │ ├── OOF.py │ ├── README.md │ ├── XGBClassifierCV.py │ ├── __init__.py │ ├── default_params.py │ └── demo.py ├── explainer │ ├── ExplainerTabular.py │ ├── ExplainerText.py │ ├── __init__.py │ └── shap.py ├── features │ ├── README.md │ ├── __init__.py │ ├── agg │ │ ├── Funcs.py │ │ ├── GroupFeats.py │ │ ├── RowFeats.py │ │ └── __init__.py │ ├── cat │ │ ├── VecFeats.py │ │ ├── __init__.py │ │ └── readme.md │ ├── cluster │ │ └── __init__.py │ ├── from_model │ │ ├── __init__.py │ │ └── knn.py │ ├── missing │ │ ├── README.md │ │ └── __init__.py │ ├── num │ │ └── __init__.py │ ├── selector │ │ ├── FeatureSelector.py │ │ ├── FilterFeatures.py │ │ ├── __init__.py │ │ ├── info_value.py │ │ └── readme.md │ ├── transformer │ │ ├── CountEncoder.py │ │ ├── CountRankEncoder.py │ │ ├── DF2FFM.py │ │ ├── DF2FM.py │ │ ├── DataAugment.py │ │ ├── FeatureSmooth.py │ │ ├── GaussRankScaler.py │ │ ├── OptimizedRounder.py │ │ ├── OutlierEncoder.py │ │ ├── RankEncoder.py │ │ └── __init__.py │ └── ts │ │ ├── DateTimeFeats.py │ │ └── __init__.py ├── ftrl.py ├── imblearn │ ├── UnderSamplerEnsemble.py │ ├── __init__.py │ └── demo.py ├── models │ ├── README.md │ ├── __init__.py │ ├── auto │ │ ├── README.md │ │ ├── __init__.py │ │ ├── autokeras.py │ │ ├── clf_tpot.py │ │ └── reg_tpot.py │ ├── classifier │ │ ├── __init__.py │ │ ├── autokeras.py │ │ ├── baseline_lgb.py │ │ ├── baseline_xgb.py │ │ ├── bayes_opt_lgb.py │ │ ├── bayes_opt_xgb.py │ │ ├── classifiers.py │ │ └── rgf.py │ ├── ensemble │ │ ├── __init__.py │ │ ├── bagging │ │ │ └── __init__.py │ │ ├── blending │ │ │ └── __init__.py │ │ ├── ranking │ │ │ └── __init__.py │ │ ├── readme.md │ │ ├── stacking │ │ │ └── __init__.py │ │ └── voting │ │ │ └── __init__.py │ ├── fm │ │ ├── __init__.py │ │ ├── fm_data.py │ │ └── readme.md │ └── regression │ │ ├── README.md │ │ └── __init__.py └── opt_params │ ├── CatBoostOptimizer.py │ ├── LGBMOptimizer.py │ ├── Opt_.py │ ├── Optimizer.py │ ├── ParamsBounds.py │ ├── README.md │ ├── XGBOptimizer.py │ ├── __init__.py │ ├── demo.py │ └── int.yml ├── algo_nlp ├── Embeddings.md ├── FeatureEngineering.md ├── PartOfSpeech.md ├── README.md ├── TencentWord2Vec.py ├── __init__.py ├── api │ ├── __init__.py │ ├── baidu_post.py │ └── baidu_sdk.txt ├── embedding │ ├── GensimDoc2Vec.py │ ├── README.md │ ├── __init__.py │ ├── check_coverage.py │ ├── embedding_tree.py │ ├── fasttext │ │ ├── __init__.py │ │ └── readme.md │ └── tencent_word_vectors.py ├── models │ ├── BaselineBow.py │ └── __init__.py └── utils │ ├── Emoji.py │ ├── Sent2Vec.py │ ├── Sequence.py │ ├── Text2Sequence.py │ ├── Text2SequenceByFastText.py │ ├── TextClean.py │ ├── VecQuery.py │ ├── WordVec2BOW.py │ ├── __init__.py │ └── ngrams.py ├── algo_server ├── __init__.py └── xgb_deploy.py ├── crawler ├── HotSpider.py ├── README.md ├── XPATH.md ├── __init__.py ├── daily.py ├── demo.py ├── hotnews.py ├── proxies.py ├── scrapy │ └── __init__.py ├── selenium │ ├── __init__.py │ └── demo.py ├── utils.py └── weather.py ├── data_eda ├── DataFrameSummary.py ├── README.md ├── SimpleEDA.py ├── __init__.py ├── target_distributed.py └── utils │ └── __init__.py ├── data_plot ├── WordCloud.py ├── __init__.py ├── chinese_setting.py ├── embedding_plot.py ├── plot_cat.py ├── plot_ys.py └── utils.py ├── ml ├── __init__.py ├── automl │ ├── AutoFeat.py │ ├── AutoFeat_.py │ ├── Features.py │ ├── NumFeats.py │ ├── README.md │ ├── __init__.py │ ├── ft │ │ ├── __init__.py │ │ ├── demo.py │ │ └── feats.py │ └── primitives.py ├── feature_selector │ ├── FS.py │ ├── GBDTSelector.py │ └── __init__.py ├── feature_tranformer │ ├── __init__.py │ └── encoders.py ├── fm │ ├── __init__.py │ └── fm_embedding.py ├── oof │ ├── __init__.py │ ├── base_oof.py │ └── oofs.py ├── optimizer │ ├── BaseOptimizer.py │ ├── F1Optimizer.py │ ├── F1Optimizer_.py │ ├── ModelOptimizer.py │ ├── ModelZoo.py │ ├── OptimizedRounder.py │ ├── OptimizedRounderF1.py │ ├── __init__.py │ └── tuner.py ├── reverse_metric.py ├── sampler │ ├── SupervisedSampling.py │ └── __init__.py └── semi │ ├── AutoEncoder.py │ ├── SimpleSemi.py │ ├── _.py │ ├── __init__.py │ ├── keras.py │ ├── pseudo.py │ └── readme.md ├── pipe.py ├── regex ├── README.md ├── __init__.py ├── illegal_char.py └── unicode.yml ├── spark ├── README.md ├── SparkInit.py ├── __init__.py ├── demo.py ├── learning │ ├── TASK1.md │ ├── TASK2.md │ ├── TASK3.md │ ├── __init__.py │ ├── corpus.txt │ └── word_count.py ├── models │ ├── __init__.py │ └── train_lgb.py ├── pysparksub.sh ├── server.py ├── sparksub.sh ├── sql │ ├── HiveParameterOptimization.md │ ├── HiveSql.md │ ├── README.md │ ├── SparkSql.md │ ├── WindowFunctions.md │ ├── __init__.py │ └── hive.py └── utils │ ├── __init__.py │ └── libsvm2df.py └── utils ├── __init__.py ├── async ├── __init__.py └── async.py ├── cli.py ├── cli_.py ├── config ├── MyInfo.py ├── __init__.py ├── _in_notebook.py ├── limit_memory.py ├── set_pandas.py ├── set_plot.py └── timer.py ├── debug └── __init__.py ├── decorator ├── __init__.py ├── decorator.py └── feval.py ├── fire_args.py ├── fs ├── __init__.py ├── multi_read_csv.py └── read2write.py ├── jupyter └── __init__.py ├── lazy_import.py ├── pandas_utils ├── 0_DA │ ├── README.md │ ├── __init__.py │ ├── udfs │ │ ├── README.md │ │ ├── __init__.py │ │ ├── _string.py │ │ ├── data_describe.py │ │ ├── data_transform.py │ │ ├── feature_selection.py │ │ ├── model_selection.py │ │ └── text │ │ │ ├── README.md │ │ │ ├── __init__.py │ │ │ ├── preprocessing.py │ │ │ └── stop_words.txt │ └── utils │ │ └── README.md ├── DataTrick.py ├── TODO.py ├── __init__.py ├── dfs_join.py ├── lag.py └── split2cols.py ├── reg_expr └── __init__.py ├── request ├── __init__.py ├── download_file.py └── get_http_list.py ├── string ├── __init__.py ├── cprint.py ├── debug_info.py ├── fstring.py ├── json2cls.py ├── replace.py └── totitle.py ├── subsets.py ├── time ├── DateTime.py ├── __init__.py ├── delta.py ├── dp.py ├── readme.md ├── time_.py └── timer.py ├── translater ├── __init__.py ├── tencent.py ├── translater.py └── youdao.py └── xx.py /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/yuanjie-ai/tql-Python/HEAD/.gitignore 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