Update CHANGELOG.md

Author: LindeSchoenmaker

CHANGELOG.md

@@ -1,32 +1,18 @@
 # Change Log
 
-From v3.1.1 to v3.2.0
+From v3.2.0 to v3.2.1
 
 ## Fixes
 
-- Fixed a bug in `ChempropModel` that caused it not to work with missing values in the
-  target column.
+- Add variable version to papyrus_filter for consistent version use.
 
 ## Changes
 
-- `calibration_score` is now implemented under the `Metric` class as `CalibrationScore`.
+None.
 
 ## 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 a `transform` 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](./tutorials/basics/data/applicability_domain.ipynb)).
+None.
 
 ## Removed Features