The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

creditmodel-1.3.1

In this version I have: * Fixed some bugs in time_transfer.

creditmodel-1.3.0

In this version I have: * Fixed some bugs in split_bins,min_max_norm,digits_num. * Add new function of sql_hive_text_parse for automatic production of hive SQL * Add new function of sum_table includes both univariate and bivariate analysis and ranges from univariate statistics and frequency distributions, to correlations, cross-tabulation and characteristic analysis.

creditmodel-1.2.7

In this version I have: * Fixed some bugs in split_bins,time_transfer,cohort_analysis,xgb_filter,feature_selector. * Rewrite the functions of plot_bar,plot_density,plot_line, plot_box,plot_relative_freq_histogram,love_color. * Add new functions of plot_colors

creditmodel-1.2.6

In this version I have: * Fixed some bugs in cohort_analysis,time_transfer,get_ctree_rules.

creditmodel-1.2.5

In this version I have: * Fixed some bugs in plot_bar,missing_proc,char_to_num. * Rewrite the logic of time_variable . * New function plot_line is for generating line plots.

creditmodel-1.2.4

In this version I have: * Fixed some bugs in data_cleansing,plot_table,check_rules.

creditmodel-1.2.3

In this version I have: * Fixed some bugs in check_rules, time_transfer.

#creditmodel-1.2.2

In this version I have: * Fixed some bugs in get_ctree_rules, ks_plot,cross_table.

#creditmodel-1.2.1

In this version I have: * Enhanced strategy analysis capabilities. * New function rule_value_replace is for generating new variables by rules. * Fixed some potential bugs in ks_plot, perf_table,training_model,process_nas.

creditmodel-1.2

In this version I have: * Enhanced strategy analysis capabilities. * New function replace_value is for replacing values of some variables. * Fixed some potential bugs in check_rules, get_ctree_rules,rules_filter,%alike%.

creditmodel-1.1.9

In this version I have: * New function plot_distribution ,plot_relative_freq_histogram, plot_box,plot_density, plot_bar are for data visualization. * New function swap_analysis is for swap out/swap in analysis. * New function rules_filter is used to filter or select samples by rules * Fixed some potential bugs in char_to_num, merge_category,check_rules,get_ctree_rules.

creditmodel-1.1.8

In this version I have: * New function cross_table is for cross table analysis. * Fixed some potential bugs in data_cleansing, low_variance_filter,time_variable,plot_vars.

creditmodel-1.1.7

In this version I have: * New function entropy_weight for is for calculating Entropy Weight. * New function term_tfidf for computing tf-idf of documents. * New function plot_oot_perf for plotting performance of over time samples in the future. * Fixed some potential bugs in get_breaks, lift_plot,perf_table,model_result_plot. * Add a parameter cut_bin to get_breaks for cutting breaks equal depth or equal width.

creditmodel-1.1.6

In this version I have:

• Fixed some potential bugs in split_bins, woe_transfer

creditmodel-1.1.5

• Add the function time_series_proc for time series data processing.
• Add functions ranking_percent_proc,ranking_percent_dict are for processing ranking percent variables and generating ranking percent dictionary.
• Change the function name read_dt to read_data and add and parameter pattern for matching files.
• Change the parameter max.depth to max_depth of the function traing_xgb,‘xgb_params’
• Change the function name save_dt to save_data and save_data also supports multiple data frames.

creditmodel-1.1.4

• New function log_trans() is for logarithmic transformation
• New function plot_table() make it possible to generate table graph.
• New function multi_grid() for arranging list of plots into a grid.

creditmodel-1.1.3

In this version I have:

• Fixed additional issues for the last version released on CRAN.
• Add new functions pred_xgb for using xgboost model to predict new data.
• Provide new functions get_psi_plots, psi_plot to plot PSI of your data..
• Provide a function p_to_score for transforming probability to score.
• Provide a function multi_left_jion for left jion a list of datasets fast.
• Provide a function read_data for loading csv or txt data fast.

creditmodel-1.1.2

In this version I have:

• Fixed additional issues for the last version released on CRAN.
• Fixed some potential bugs in xgb_filter, feature_selector, split_bins, ks_table_plot, ks_psi_plot, ks_value.
• Add a new function pred_score for predicting new data using scorecard.
• Provide new functions lr_params_search, xgb_params_search for searching the optimal parameters. “random_search”,“grid_search”,“local_search” are available.
• Provide new functions partial_dependence_plot, get_partial_dependence_plots for generating partial dependence plot.
• Provide new functions cohort_analysis, cohort_table, cohort_plot for cohort (vintage) analysis and visualization.
• Provide new functions perf_table, roc_plot, ks_plot, lift_plot, psi_plot for model validation drawings.

creditmodel-1.1.1

In this version I have: * Fixed some potential bugs in get_names, digits_num

creditmodel-1.1.0

In this version I have:

• Add a function data_exploration for data exploration.
• Fixed some potential bugs in missing_proc, outliers_proc ,get_names
• In lasso_filter, AUC&K-S is added to select the best lambda. In this way, not only can the set of variables that makes the AUC or K-S maximized be selected, but also the multicollinearity (which is difficult to eliminate by AIC in stepwise regression), can be minimized. That means instead of stepwise regression, the optimal combination of variables can be selected by lasso to solve the regression problem.
• Visualize the number of variables, K-S or AUC values corresponding to different lambda.
• Provide new functions`auc_value  ks_value, which can calculate Kolmogorov-Smirnov (K-S) & AUC of multiple model results quickly.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.