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+ Added rolling_forecast() public method to the forecasting pipeline wrappers for all supported forecasting models. This method replaces the deprecated rolling_evalution() method.
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+**azureml-automl-runtime**
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+ Fixed a bug where the sample_weight column was not properly validated.
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+ Added rolling_forecast() public method to the forecasting pipeline wrappers for all supported forecasting models. This method replaces the deprecated rolling_evalution() method.
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+ Fixed an issue where AutoML Regression tasks may fall back to train-valid split for model evaluation, when CV would have been a more appropriate choice.
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+**azureml-contrib-aisc**
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+ Only used by 1P for now
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+**azureml-contrib-automl-dnn-forecasting**
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+ Added rolling_forecast() public method to the forecasting pipeline wrappers for all supported forecasting models. This method replaces the deprecated rolling_evalution() method.
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+**azureml-core**
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+ New cloud configuration suffix added, "aml_discovery_endpoint".
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+**azureml-mlflow**
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+ New cloud configuration suffix added, "aml_discovery_endpoint".
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+**azureml-responsibleai**
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+ update azureml-responsibleai package and curated images to raiwidgets and responsibleai 0.21.0
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+ updated azureml-responsibleai and images to raiwidgets and responsibleai 0.20.0
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+**azureml-sdk**
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+ The azureml-sdk package now allow Python 3.9.
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+**azureml-training-tabular**
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+ Added rolling_forecast() public method to the forecasting pipeline wrappers for all supported forecasting models. This method replaces the deprecated rolling_evalution() method.
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