0.1.4

Add

• Added wheel package supported for py3.12
• Added figsize param in toad.plot.bin_plot function

Changed

• Update pandas version to >=1.5
• Python 3.7 3.8 is no longer supported

0.1.3

Add

• Added performance in toad.utils for test code performance
• Added pickletracer in toad.utils for infer requirements in pickle object

Fixed

• Fixed Value Error in select and drop_corr method when using pandas >= 2.0.x

0.1.2

Add

• Added ks_plot for KS plot, #102 thanks @kevin-meng
• Added xgb_loss decorator for convert a normal loss function to a xgb supported loss function
• Added binary_focal_loss function in nn.functional
• Added event module in nn.trainer, and changed trainer mode to event-based
• Added wheel package supported for py3.9, py3.10 and py3.11

Changed

• Now you can pass arguments to DecisionTreeClassifier in merge or Combiner when use method = dt

Fixed

• Fixed groupby rewrited in preprocessing
• Fixed the expired deprecations of numpy types in 1.24.0

0.1.1

Add

• Added Progress for pandas.apply by using pandas_enable and pandas_disable
• Added feature_bin_stats for feature bins, #91 thanks @kevin-meng

Changed

• countBlank can use customize missing value, #101 thanks @kevin-meng
• remove ref of merge in __init__ file

0.1.0

Add

• Added backward_rounds for nn.Trainer.train
• Added evalute func in nn.Module
• Added get_reason func in ScoreCard, #79 thanks @qianweishuo
• Added dict type input support for ScoreCard.predict and Combiner.transform, #79 thanks @qianweishuo
• Added iterator support for Progress

Changed

• Change callback and earlystopping to python decorator

0.0.65

Breaking Changes

• Add new lift value and rename the old lift value to cum_lift in KS_Bucket
• Move nn.autoencoder to nn.zoo.autoencoder

Add

• Added label_smoothing, focal_loss function in nn module
• Added some features in nn.trainer
• Added default early_stopping for nn.Trainer

Changed

• Update numpy version to >=1.20
• Python 3.6 is no longer supported

Fixed

• Fixed combiner error after ScoreCard reload. #67

0.0.64

Added

• Added callback param in fit method for nn
• Added Trainer and EarlyStopping in nn.trainer module

Changed

• Use mean of loss in nn.Module.fit instead of the latest loss value
• Set default rotation for x tick labels

Fixed

• Fixed dependence version of numpy
• Fixed DistModule module
• Fixed ScoreCard representation error

0.0.62

Added

• save and load method for nn module
• Added lift value in KS_bucket function
• Added checking duplicate keys in Transformer

Changed

• quality method support indicators

Fixed

• Fixed tadpole warning of legend. #52
• Fixed tadpole title and x/y label display for UTF8
• Fixed default rule in RuleMixin.
• Fixed loss function of VAE model.
• Fixed decimal argument in ScoreCard.export function

Enhancements

• Reduce memory usage when using select function

0.0.61

Added

• Support for calculating IV for each groups in a feature. #25
• Add cpu_cores for quality function
• Add predict_proba for ScoreCard
• Impute module
• NN module

Changed

• The y axis of badrate_plot is starting with 0 now. #23
• KS is implemented using ks2samp instead

Fixed

• Fixed Preprocess bugs

Docs

• Add references for Chi-Merge, Stepwise Regression, Scorecard Transformation

0.0.60

Added

• Preprocess module.
• Annotation format for bin plot.
• KS bucket support split pointers as bucket. #22

Changed

• Format_bins support ellipsis.
• Reverse cumulative columns in KS bucket
• Use correct order of score for auc and roc plot. #21

Fixed

• Fixed number type of x axis of badrate plot. #20
• Fixed negative ks value in KS_bucket.