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 ## **New Features**
 
+- **Save/Restore model when pickling Pipeline**
+
+   [PR#189](https://github.com/microsoft/NimbusML/pull/189) Save and restore
+   the underlying model file when pickling a nimbusml Pipeline.
+
 - **Feature Contributions**
 
   [PR#196](https://github.com/microsoft/NimbusML/pull/196) added support for observation level feature contributions. Exposes an API that provides scores for how much each feature influenced a particular prediction, thereby allowing users to inspect which features were most important in making the prediction.
 
+- **Add `classes_` to Pipeline**
+
+   [PR#200](https://github.com/microsoft/NimbusML/pull/200) Add a `classes_`
+   attribute to a Pipeline and/or predictor instance when calling
+   `Pipeline.predict_proba()`.
+
+- **Automatically Convert Input Of Handler, Filter and Indicator**
+
+   [PR#204](https://github.com/microsoft/NimbusML/pull/204) Update Handler,
+   Filter, and Indicator to automatically convert the input columns to float
+   before performing the transform.
+
+- **Combine Models**
+
+   [PR#208](https://github.com/microsoft/NimbusML/pull/208) Add support for
+   combining models from transforms, predictors and pipelines in to one model.
+
 ## **Bug Fixes**
 
-None.
+- **Remove Stored References To `X` and `y`**
+
+   [PR#195](https://github.com/microsoft/NimbusML/pull/195) Remove the stored
+   references to X and y in BasePredictor.
+
+- **Fixed Explicit `evaltype`**
+
+   The [issue](https://github.com/microsoft/NimbusML/issues/193) where passing
+   in an explicit `evaltype` to `_predict` in a NimbusML pipeline causes errors
+   has been fixed with this
+   [commit](https://github.com/microsoft/NimbusML/commit/1f97c9ef55f5e257f989db5f375cca5c55880258).
 
 ## **Breaking Changes**