Webb27 feb. 2024 · woebin_plot create plots of count distribution and positive probability for each bin. The binning informations are generates by woebin . Usage woebin_plot (bins, x … Webbdt_woe = sc.woebin_ply (dt_sel, bins) y = dt_woe.loc [:,'creditability'] X = dt_woe.loc [:,dt_woe.columns != 'creditability'] # logistic regression ------ from sklearn.linear_model import LogisticRegression lr = LogisticRegression (penalty='l1', C=0.9, solver='saga') lr.fit (X, y) # # predicted proability # dt_pred = lr.predict_proba (X) [:,1]
scorecardpy/woebin.py at master · ShichenXie/scorecardpy · GitHub
Webb7 mars 2024 · 关注. 说到评分卡建模工具,做过评分卡的应该都能想到谢博士的scorecardpy和专为工业界模型开发设计的Python工具包--Toad,两者相比,scorecardpy更加轻量级,且依赖较少,可以满足大多数场景下的评分卡构建。. 为了使评分卡建模流程更加便捷,该Python包针对建模 ... WebbDescription woebin_ply woebin Usage woebin_ply (dt, bins, to = "woe", no_cores = 2, print_step = 0L, replace_blank_inf = TRUE, ...) Value A data frame with columns for variables converted into woe values. Arguments dt A data frame. bins Binning information generated from woebin. to Converting original values to woe or bin. Defaults to woe. flats for rent crossgates fife
评分卡开发流程全解析---python版 - 知乎
Webb7 maj 2024 · sc.woebin_plot (bins) 分箱与算法应用 最后,我们说一下应用分箱技术的算法与场景。 分箱操作一般只在分类问题中进行,在分类问题中, 对逻辑回归算法,分箱是极为重要且必须的。 而对于树模型,如lightGBM、XGBoost等模型,分箱不是一个必须操作,但是却能够预防模型的过拟合并使模型的稳定性更好。 就是分类问题中的逻辑回 … Webb26 jan. 2024 · Python is having scorecardpy library for scorecard development which is alternative to R pacakge scorecardpy but while running woe_binning from scorecardpy as follow bins = sc.woebin (df_temp,y=target_var,positive='bad 1') #df_temp is dataframe with all columns having 'float64' data type #y is binary variable having data type 'int' flats for rent edinburgh zoopla