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