From c4ebe0f7955b1d81076a4677320c2305d0ec97c7 Mon Sep 17 00:00:00 2001 From: Najeeb Kazmi Date: Mon, 5 Aug 2019 13:14:44 -0700 Subject: [PATCH] Update release-next.md --- release-next.md | 14 +++++++++++++- 1 file changed, 13 insertions(+), 1 deletion(-) diff --git a/release-next.md b/release-next.md index 776570e..7d6e756 100644 --- a/release-next.md +++ b/release-next.md @@ -9,7 +9,7 @@ - **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. + [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** @@ -32,6 +32,18 @@ [PR#181](https://github.com/microsoft/NimbusML/pull/181) Added support for dataflow objects as a datasource for pipeline training/testing. + +- **Ensemble Training** + + [PR#207](https://github.com/microsoft/NimbusML/pull/207) Enabled training of + Ensemble models by adding `nimbusml.ensemble.EnsembleRegressor` and + `nimbusml.ensemble.EnsembleClassifier`. Added components needed + to create ensemble models as new modules in `nimbusml.ensemble`. These + components are passed as arguments to the ensemble trainers. + - Preprocessing components for training multiple models to ensemble in + `nimbusml.ensemble.subset_selector` and `nimbusml.ensemble.feature_selector`. + - Post training components to create the ensemble from the trained models in + `nimbusml.ensemble.sub_model_selector` and `nimbusml.ensemble.output_combiner`. ## **Bug Fixes**