Version 3.2.0
Change Log
From v3.1.1 to v3.2.0
Fixes
- Fixed a bug in
ChempropModelthat caused it not to work with missing values in the
target column.
Changes
calibration_scoreis now implemented under theMetricclass asCalibrationScore.
New Features
- Added a range of new
metrics:BEDROC,EnrichmentFactor,RobustInitialEnhancement,
Prevalence,Sensitivity,Specificity,PositivePredictivity,NegativePredictivity,
CohenKappa,BalancedPositivePredictivity,BalancedNegativePredictivity,
BalancedMatthewsCorrcoeff,BalancedCohenKappa,KSlope,R20,KPrimeSlope,
RPrime20,Pearson,Spearman,Kendall,AverageFoldError,
AbsoluteAverageFoldError,PercentageWithinFoldError - Added
MaskedMetricwhich can be wrapped around any metric to mask datapoints
when a target value is missing. - Added a tutorial on model and data serialization.
ApplicabilityDomainnow has atransformmethod that can be used to transform
a dataset to a continuous applicability domain score, such as the distance to the
nearest neighbor in the training set (an example was added to the
tutorials).
Removed Features
None.