Version 3.2.0
Change Log
From v3.1.1 to v3.2.0
Fixes
- Fixed a bug in
ChempropModel
that caused it not to work with missing values in the
target column.
Changes
calibration_score
is now implemented under theMetric
class 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
MaskedMetric
which can be wrapped around any metric to mask datapoints
when a target value is missing. - Added a tutorial on model and data serialization.
ApplicabilityDomain
now has atransform
method 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.