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Update release-next.md. #211

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Update release-next.md. #211

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34 changes: 33 additions & 1 deletion release-next.md
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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**

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