scorecardpipeline

scorecardpipeline 封装了 toad、scorecardpy、optbinning 等评分卡建模相关组件，API 风格与 sklearn 高度一致，支持 pipeline 式端到端评分卡建模、模型报告输出、导出 PMML 文件、超参数搜索等功能

快速开始

系统环境

PIPY镜像

网络环境

安装命令

• 简介
• 版本说明
• 环境安装
• 使用示例
  • 导入依赖
  • 数据准备
  • 数据拆分
  • 数据预处理
  • 训练 LR 模型
  • 评分卡转换
  • 模型持久化存储
  • 评分卡 pipeline 建模
  • 评分卡全流程超参数搜索
  • 模型报告输出
• 交流

接口文档

• scorecardpipeline
  • FeatureSelection
    • FeatureSelection.__init__()
    • FeatureSelection.fit()
    • FeatureSelection.transform()
  • FeatureImportanceSelector
    • FeatureImportanceSelector.__init__()
    • FeatureImportanceSelector.fit()
    • FeatureImportanceSelector.transform()
    • FeatureImportanceSelector.catboost_selector()
  • StepwiseSelection
    • StepwiseSelection.__init__()
    • StepwiseSelection.fit()
    • StepwiseSelection.transform()
  • Combiner
    • Combiner.__init__()
    • Combiner.update()
    • Combiner.optbinning_bins()
    • Combiner.fit()
    • Combiner.check_rules()
    • Combiner.transform()
    • Combiner.export()
    • Combiner.load()
    • Combiner.feature_bin_stats()
    • Combiner.bin_plot()
    • Combiner.proportion_plot()
    • Combiner.corr_plot()
    • Combiner.badrate_plot()
    • Combiner.rules
  • WOETransformer
    • WOETransformer.__init__()
    • WOETransformer.fit()
    • WOETransformer.transform()
    • WOETransformer.rules
  • ITLubberLogisticRegression
    • ITLubberLogisticRegression.__init__()
    • ITLubberLogisticRegression.fit()
    • ITLubberLogisticRegression.decision_function()
    • ITLubberLogisticRegression.corr()
    • ITLubberLogisticRegression.report()
    • ITLubberLogisticRegression.summary()
    • ITLubberLogisticRegression.summary2()
    • ITLubberLogisticRegression.convert_sparse_matrix()
    • ITLubberLogisticRegression.plot_weights()
  • ScoreCard
    • ScoreCard.__init__()
    • ScoreCard.fit()
    • ScoreCard.transform()
    • ScoreCard.score_clip()
    • ScoreCard.scorecard_scale()
    • ScoreCard.format_bins()
    • ScoreCard.scorecard_points()
    • ScoreCard.scorecard2pmml()
    • ScoreCard.KS_bucket()
    • ScoreCard.KS()
    • ScoreCard.AUC()
    • ScoreCard.perf_eva()
    • ScoreCard.ks_plot()
    • ScoreCard.PSI()
    • ScoreCard.perf_psi()
    • ScoreCard.score_hist()
    • ScoreCard.class_steps()
    • ScoreCard.feature_bin_stats()
  • Rule
    • Rule.__init__()
    • Rule.predict()
    • Rule.report()
    • Rule.result()
  • DecisionTreeRuleExtractor
    • DecisionTreeRuleExtractor.__init__()
    • DecisionTreeRuleExtractor.encode_cat_features()
    • DecisionTreeRuleExtractor.get_dt_rules()
    • DecisionTreeRuleExtractor.select_dt_rules()
    • DecisionTreeRuleExtractor.query_dt_rules()
    • DecisionTreeRuleExtractor.insert_dt_rules()
    • DecisionTreeRuleExtractor.fit()
    • DecisionTreeRuleExtractor.transform()
    • DecisionTreeRuleExtractor.report()
  • KS()
  • AUC()
  • PSI()
  • F1()
  • init_logger()
  • init_setting()
  • load_pickle()
  • save_pickle()
  • germancredit()
  • ColorScaleRule()
  • get_column_letter()
  • column_index_from_string()
  • seed_everything()
  • feature_bins()
  • feature_bin_stats()
  • extract_feature_bin()
  • inverse_feature_bins()
  • sample_lift_transformer()
  • bin_plot()
  • corr_plot()
  • ks_plot()
  • hist_plot()
  • psi_plot()
  • csi_plot()
  • dataframe_plot()
  • distribution_plot()
  • ExcelWriter
    • ExcelWriter.__init__()
    • ExcelWriter.add_conditional_formatting()
    • ExcelWriter.set_column_width()
    • ExcelWriter.set_number_format()
    • ExcelWriter.get_sheet_by_name()
    • ExcelWriter.move_sheet()
    • ExcelWriter.insert_value2sheet()
    • ExcelWriter.insert_pic2sheet()
    • ExcelWriter.insert_rows()
    • ExcelWriter.insert_df2sheet()
    • ExcelWriter.merge_cells()
    • ExcelWriter.check_contain_chinese()
    • ExcelWriter.astype_insertvalue()
    • ExcelWriter.calc_continuous_cnt()
    • ExcelWriter.itlubber_border()
    • ExcelWriter.get_cell_space()
    • ExcelWriter.calculate_rgba_color()
    • ExcelWriter.init_style()
    • ExcelWriter.save()
  • dataframe2excel()
  • auto_eda_sweetviz()
  • auto_data_testing_report()
• scorecardpipeline.processing
  • drop_identical()
  • drop_corr()
  • select()
  • FeatureSelection
    • FeatureSelection.__init__()
    • FeatureSelection.fit()
    • FeatureSelection.transform()
  • StepwiseSelection
    • StepwiseSelection.__init__()
    • StepwiseSelection.fit()
    • StepwiseSelection.transform()
  • FeatureImportanceSelector
    • FeatureImportanceSelector.__init__()
    • FeatureImportanceSelector.fit()
    • FeatureImportanceSelector.transform()
    • FeatureImportanceSelector.catboost_selector()
  • Combiner
    • Combiner.__init__()
    • Combiner.update()
    • Combiner.optbinning_bins()
    • Combiner.fit()
    • Combiner.check_rules()
    • Combiner.transform()
    • Combiner.export()
    • Combiner.load()
    • Combiner.feature_bin_stats()
    • Combiner.bin_plot()
    • Combiner.proportion_plot()
    • Combiner.corr_plot()
    • Combiner.badrate_plot()
    • Combiner.rules
  • feature_bin_stats()
  • WOETransformer
    • WOETransformer.__init__()
    • WOETransformer.fit()
    • WOETransformer.transform()
    • WOETransformer.rules
• scorecardpipeline.model
  • ITLubberLogisticRegression
    • ITLubberLogisticRegression.__init__()
    • ITLubberLogisticRegression.fit()
    • ITLubberLogisticRegression.decision_function()
    • ITLubberLogisticRegression.corr()
    • ITLubberLogisticRegression.report()
    • ITLubberLogisticRegression.summary()
    • ITLubberLogisticRegression.summary2()
    • ITLubberLogisticRegression.convert_sparse_matrix()
    • ITLubberLogisticRegression.plot_weights()
  • ScoreCard
    • ScoreCard.__init__()
    • ScoreCard.fit()
    • ScoreCard.transform()
    • ScoreCard.score_clip()
    • ScoreCard.scorecard_scale()
    • ScoreCard.format_bins()
    • ScoreCard.scorecard_points()
    • ScoreCard.scorecard2pmml()
    • ScoreCard.KS_bucket()
    • ScoreCard.KS()
    • ScoreCard.AUC()
    • ScoreCard.perf_eva()
    • ScoreCard.ks_plot()
    • ScoreCard.PSI()
    • ScoreCard.perf_psi()
    • ScoreCard.score_hist()
    • ScoreCard.class_steps()
    • ScoreCard.feature_bin_stats()
• scorecardpipeline.auto_eda
  • auto_eda_sweetviz()
• scorecardpipeline.auto_report
  • auto_data_testing_report()
• scorecardpipeline.utils
  • seed_everything()
  • init_setting()
  • load_pickle()
  • save_pickle()
  • germancredit()
  • round_float()
  • feature_bins()
  • extract_feature_bin()
  • inverse_feature_bins()
  • bin_plot()
  • corr_plot()
  • ks_plot()
  • hist_plot()
  • psi_plot()
  • csi_plot()
  • dataframe_plot()
  • distribution_plot()
  • sample_lift_transformer()
• scorecardpipeline.excel_writer
  • ExcelWriter
    • ExcelWriter.__init__()
    • ExcelWriter.add_conditional_formatting()
    • ExcelWriter.set_column_width()
    • ExcelWriter.set_number_format()
    • ExcelWriter.get_sheet_by_name()
    • ExcelWriter.move_sheet()
    • ExcelWriter.insert_value2sheet()
    • ExcelWriter.insert_pic2sheet()
    • ExcelWriter.insert_rows()
    • ExcelWriter.insert_df2sheet()
    • ExcelWriter.merge_cells()
    • ExcelWriter.check_contain_chinese()
    • ExcelWriter.astype_insertvalue()
    • ExcelWriter.calc_continuous_cnt()
    • ExcelWriter.itlubber_border()
    • ExcelWriter.get_cell_space()
    • ExcelWriter.calculate_rgba_color()
    • ExcelWriter.init_style()
    • ExcelWriter.save()
  • dataframe2excel()
• scorecardpipeline.rule
  • json2expr()
  • Rule
    • Rule.__init__()
    • Rule.predict()
    • Rule.report()
    • Rule.result()
• scorecardpipeline.rule_extraction
  • DecisionTreeRuleExtractor
    • DecisionTreeRuleExtractor.__init__()
    • DecisionTreeRuleExtractor.encode_cat_features()
    • DecisionTreeRuleExtractor.get_dt_rules()
    • DecisionTreeRuleExtractor.select_dt_rules()
    • DecisionTreeRuleExtractor.query_dt_rules()
    • DecisionTreeRuleExtractor.insert_dt_rules()
    • DecisionTreeRuleExtractor.fit()
    • DecisionTreeRuleExtractor.transform()
    • DecisionTreeRuleExtractor.report()
• scorecardpipeline.logger
  • init_logger()

快速查找

• 索引

• 模块索引

• 搜索页面