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Selected Feed: Azure

azureml.train.hyperdrive.GridParameterSampling class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-core/azureml.train.hyperdrive.gridparametersampling <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.GridParameterSampling.yml" sourcestartlinenumber="1">Defines grid sampling over a hyperparameter search space.</p>
Published Date : 2020年2月19日

azureml.widgets.RunDetails class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-widgets/azureml.widgets.rundetails <p sourcefile="stable/docs-ref-autogen/azureml-widgets/azureml.widgets.RunDetails.yml" sourcestartlinenumber="1">Represents a Jupyter notebook widget used to view the progress of model training.</p> <p sourcefile="stable/docs-ref-autogen/azureml-widgets/azureml.widgets.RunDetails.yml" sourcestartlinenumber="3">A widget is asynchronous and provides updates until training finishes.</p>
Published Date : 2020年2月19日

azureml.train.estimator package - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-core/azureml.train.estimator <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.estimator.yml" sourcestartlinenumber="1">Generic Estimator and FrameworkBaseEstimator-related files.</p>
Published Date : 2020年2月19日

azureml.train.hyperdrive package - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-core/azureml.train.hyperdrive <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.yml" sourcestartlinenumber="1">Contains modules and classes supporting hyperparameter tuning.</p> <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.yml" sourcestartlinenumber="4">Hyperparameters are adjustable parameters you choose for model training that guide the training process. The HyperDrive package helps you automate choosing these parameters. For example, you can define the parameter search space as discrete or continuous, and a sampling method over the search space as random, grid, or Bayesian. Also, you can specify a primary metric to optimize in the hyperparameter tuning experiment, and whether to minimize or maximize that metric. You can also define early termination policies in which poorly performing experiment runs are canceled and new ones started. To define a reusable machine learning workflow for HyperDrive, use <xref href="azureml.pipeline.steps.hyper_drive_step" data-throw-if-not-resolved="True" data-raw-source="&lt;xref:azureml.pipeline.steps.hyper_drive_step&gt;" sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.yml" sourcestartlinenumber="10"></xref> to create a <xref href="azureml.pipeline.core.pipeline.Pipeline" data-throw-if-not-resolved="True" data-raw-source="&lt;xref:azureml.pipeline.core.pipeline.Pipeline&gt;" sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.yml" sourcestartlinenumber="10"></xref>.</p>
Published Date : 2020年2月19日

azureml.train.hyperdrive.HyperDriveConfig class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-core/azureml.train.hyperdrive.hyperdriveconfig <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.HyperDriveConfig.yml" sourcestartlinenumber="1">Configuration that defines a HyperDrive run.</p> <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.HyperDriveConfig.yml" sourcestartlinenumber="3">HyperDrive configuration includes information about hyperparameter space sampling, termination policy, primary metric, resume from configuration, estimator, and the compute target to execute the experiment runs on.</p>
Published Date : 2020年2月19日

azureml.train.estimator.Estimator class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-core/azureml.train.estimator.estimator <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.estimator.Estimator.yml" sourcestartlinenumber="1">Represents a generic estimator to train data using any supplied framework.</p> <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.estimator.Estimator.yml" sourcestartlinenumber="3">This class is designed for use with machine learning frameworks that do not already have an Azure Machine Learning pre-configured estimator. Pre-configured estimators exist for <xref href="azureml.train.dnn.Chainer" data-throw-if-not-resolved="True" data-raw-source="&lt;xref:azureml.train.dnn.Chainer&gt;" sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.estimator.Estimator.yml" sourcestartlinenumber="4"></xref>, <xref href="azureml.train.dnn.PyTorch" data-throw-if-not-resolved="True" data-raw-source="&lt;xref:azureml.train.dnn.PyTorch&gt;" sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.estimator.Estimator.yml" sourcestartlinenumber="5"></xref>, <xref href="azureml.train.dnn.TensorFlow" data-throw-if-not-resolved="True" data-raw-source="&lt;xref:azureml.train.dnn.TensorFlow&gt;" sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.estimator.Estimator.yml" sourcestartlinenumber="5"></xref>, and <xref href="azureml.train.sklearn.SKLearn" data-throw-if-not-resolved="True" data-raw-source="&lt;xref:azureml.train.sklearn.SKLearn&gt;" sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.estimator.Estimator.yml" sourcestartlinenumber="6"></xref>.</p> <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.estimator.Estimator.yml" sourcestartlinenumber="8">The Estimator class wraps run configuration information to help simplify the tasks of specifying how a script is executed. It supports single-node as well as multi-node execution. Running the estimator produces a model in the output directory specified in your training script.</p>
Published Date : 2020年2月19日

azureml.train.hyperdrive.BanditPolicy class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-core/azureml.train.hyperdrive.banditpolicy <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.BanditPolicy.yml" sourcestartlinenumber="1">Defines an early termination policy based on slack criteria, and a frequency and delay interval for evaluation.</p>
Published Date : 2020年2月19日

azureml.train.hyperdrive.RandomParameterSampling class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-core/azureml.train.hyperdrive.randomparametersampling <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.RandomParameterSampling.yml" sourcestartlinenumber="1">Defines random sampling over a hyperparameter search space.</p>
Published Date : 2020年2月19日

azureml.widgets package - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-widgets/azureml.widgets <p sourcefile="stable/docs-ref-autogen/azureml-widgets/azureml.widgets.yml" sourcestartlinenumber="1">Contains functionality to view the progress of machine learning training runs in Jupyter Notebooks.</p> <p sourcefile="stable/docs-ref-autogen/azureml-widgets/azureml.widgets.yml" sourcestartlinenumber="4">Supported run types include <xref href="azureml.pipeline.core.StepRun" data-throw-if-not-resolved="True" data-raw-source="&lt;xref:azureml.pipeline.core.StepRun&gt;" sourcefile="stable/docs-ref-autogen/azureml-widgets/azureml.widgets.yml" sourcestartlinenumber="4"></xref>, <xref href="azureml.pipeline.core.run.PipelineRun" data-throw-if-not-resolved="True" data-raw-source="&lt;xref:azureml.pipeline.core.run.PipelineRun&gt;" sourcefile="stable/docs-ref-autogen/azureml-widgets/azureml.widgets.yml" sourcestartlinenumber="4"></xref>, <xref href="azureml.train.hyperdrive.HyperDriveRun" data-throw-if-not-resolved="True" data-raw-source="&lt;xref:azureml.train.hyperdrive.HyperDriveRun&gt;" sourcefile="stable/docs-ref-autogen/azureml-widgets/azureml.widgets.yml" sourcestartlinenumber="5"></xref>, and <xref href="azureml.train.automl.run.AutoMLRun" data-throw-if-not-resolved="True" data-raw-source="&lt;xref:azureml.train.automl.run.AutoMLRun&gt;" sourcefile="stable/docs-ref-autogen/azureml-widgets/azureml.widgets.yml" sourcestartlinenumber="5"></xref>. For more information on supported run types and environments, see <xref href="azureml.widgets.RunDetails" data-throw-if-not-resolved="True" data-raw-source="&lt;xref:azureml.widgets.RunDetails&gt;" sourcefile="stable/docs-ref-autogen/azureml-widgets/azureml.widgets.yml" sourcestartlinenumber="6"></xref>.</p>
Published Date : 2020年2月19日

azureml.train.hyperdrive.PrimaryMetricGoal enum - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-core/azureml.train.hyperdrive.primarymetricgoal <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.PrimaryMetricGoal.yml" sourcestartlinenumber="1">Defines supported metric goals for hyperparameter tuning.</p> <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.PrimaryMetricGoal.yml" sourcestartlinenumber="3">A metric goal is used to determine whether a higher value for a metric is better or worse. Metric goals are used when comparing runs based on the primary metric. For example, you may want to maximize accuracy or minimize error.</p> <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.PrimaryMetricGoal.yml" sourcestartlinenumber="7">The primary metric name and goal are specified in the <xref href="azureml.train.hyperdrive.HyperDriveRunConfig" data-throw-if-not-resolved="True" data-raw-source="&lt;xref:azureml.train.hyperdrive.HyperDriveRunConfig&gt;" sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.PrimaryMetricGoal.yml" sourcestartlinenumber="7"></xref> class when you configure a HyperDrive run.</p>
Published Date : 2020年2月19日

azureml.train.hyperdrive.parameter_expressions module - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-core/azureml.train.hyperdrive.parameter_expressions <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.parameter_expressions.yml" sourcestartlinenumber="1">Defines functions that can be used in HyperDrive to describe a hyperparameter search space.</p> <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.parameter_expressions.yml" sourcestartlinenumber="4">These functions are used to specify different types of hyperparameter distributions. The distributions are defined when you configure sampling for a hyperparameter sweep. For example, when you use the <xref href="azureml.train.hyperdrive.RandomParameterSampling" data-throw-if-not-resolved="True" data-raw-source="&lt;xref:azureml.train.hyperdrive.RandomParameterSampling&gt;" sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.parameter_expressions.yml" sourcestartlinenumber="6"></xref> class, you can choose to sample from a set of discrete values or a distribution of continuous values. In this case, you could use the <xref href="azureml.train.hyperdrive.parameter_expressions.choice" data-throw-if-not-resolved="True" data-raw-source="&lt;xref:azureml.train.hyperdrive.parameter_expressions.choice&gt;" sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.parameter_expressions.yml" sourcestartlinenumber="8"></xref> function to generate a discrete set of values and <xref href="azureml.train.hyperdrive.parameter_expressions.uniform" data-throw-if-not-resolved="True" data-raw-source="&lt;xref:azureml.train.hyperdrive.parameter_expressions.uniform&gt;" sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.parameter_expressions.yml" sourcestartlinenumber="9"></xref> function to generate a distribution of continuous values.</p> <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.parameter_expressions.yml" sourcestartlinenumber="13">For examples of using these functions, see the tutorial: <a href="https://docs.microsoft.com/azure/machine-learning/service/how-to-tune-hyperparameters" sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.parameter_expressions.yml" sourcestartlinenumber="14">https://docs.microsoft.com/azure/machine-learning/service/how-to-tune-hyperparameters</a>.</p>
Published Date : 2020年2月19日

azureml.train.estimator.Nccl class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-core/azureml.train.estimator.nccl <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.estimator.Nccl.yml" sourcestartlinenumber="1">A class for managing Gloo settings for jobs.</p>
Published Date : 2020年2月19日

azureml.train.sklearn.SKLearn class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-core/azureml.train.sklearn.sklearn <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.sklearn.SKLearn.yml" sourcestartlinenumber="1">Creates an estimator for training in Scikit-learn experiments.</p> <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.sklearn.SKLearn.yml" sourcestartlinenumber="3">This estimator only supports single-node CPU training.</p> <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.sklearn.SKLearn.yml" sourcestartlinenumber="5">Supported versions: 0.20.3</p>
Published Date : 2020年2月19日

azureml.train.hyperdrive.TruncationSelectionPolicy class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-core/azureml.train.hyperdrive.truncationselectionpolicy <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.TruncationSelectionPolicy.yml" sourcestartlinenumber="1">Defines an early termination policy that cancels a given percentage of runs at each evaluation interval.</p>
Published Date : 2020年2月19日

azureml.train.hyperdrive.NoTerminationPolicy class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-core/azureml.train.hyperdrive.noterminationpolicy <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.NoTerminationPolicy.yml" sourcestartlinenumber="1">Specifies that no early termination policy is applied.</p> <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.NoTerminationPolicy.yml" sourcestartlinenumber="3">Each run will execute until completion.</p>
Published Date : 2020年2月19日

azureml.train.sklearn module - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-core/azureml.train.sklearn <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.sklearn.yml" sourcestartlinenumber="1">Contains an estimator for training with Scikit-Learn.</p>
Published Date : 2020年2月19日

azureml.train.hyperdrive.HyperDriveRunConfig class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-core/azureml.train.hyperdrive.hyperdriverunconfig <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.HyperDriveRunConfig.yml" sourcestartlinenumber="1">Configuration that defines a HyperDrive run.</p> <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.HyperDriveRunConfig.yml" sourcestartlinenumber="3">Configuration includes information about parameter space sampling, termination policy, primary metric, estimator and the compute target to execute the experiment runs on.</p>
Published Date : 2020年2月19日

azureml.train.hyperdrive.HyperDriveRun class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-core/azureml.train.hyperdrive.hyperdriverun <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.HyperDriveRun.yml" sourcestartlinenumber="1">HyperDriveRun contains the details of a submitted HyperDrive experiment.</p> <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.HyperDriveRun.yml" sourcestartlinenumber="3">This class can be used to manage, check status, and retrieve run details for the HyperDrive run and each of the generated child runs.</p>
Published Date : 2020年2月19日

azureml.train.hyperdrive.BayesianParameterSampling class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-core/azureml.train.hyperdrive.bayesianparametersampling <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.BayesianParameterSampling.yml" sourcestartlinenumber="1">Defines Bayesian sampling over a hyperparameter search space.</p> <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.BayesianParameterSampling.yml" sourcestartlinenumber="3">Bayesian sampling tries to intelligently pick the next sample of hyperparameters, based on how the previous samples performed, such that the new sample improves the reported primary metric.</p>
Published Date : 2020年2月19日

azureml.train.hyperdrive.MedianStoppingPolicy class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-core/azureml.train.hyperdrive.medianstoppingpolicy <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.MedianStoppingPolicy.yml" sourcestartlinenumber="1">Defines an early termination policy based on running averages of the primary metric of all runs.</p>
Published Date : 2020年2月19日

azureml.train.estimator.MMLBaseEstimator class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-core/azureml.train.estimator.mmlbaseestimator <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.estimator.MMLBaseEstimator.yml" sourcestartlinenumber="1">Abstract base class for all estimators.</p>
Published Date : 2020年2月19日

azureml.train.estimator.MMLBaseEstimatorRunConfig class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-core/azureml.train.estimator.mmlbaseestimatorrunconfig <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.estimator.MMLBaseEstimatorRunConfig.yml" sourcestartlinenumber="1">Abstract base class for all Estimator run configs.</p> <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.estimator.MMLBaseEstimatorRunConfig.yml" sourcestartlinenumber="3">DEPRECATED. Use the <xref href="azureml.core.runconfig.RunConfiguration" data-throw-if-not-resolved="True" data-raw-source="&lt;xref:azureml.core.runconfig.RunConfiguration&gt;" sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.estimator.MMLBaseEstimatorRunConfig.yml" sourcestartlinenumber="3"></xref> class.</p>
Published Date : 2020年2月19日

azureml.train.dnn.Nccl class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-core/azureml.train.dnn.nccl <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.dnn.Nccl.yml" sourcestartlinenumber="1">A class for managing Gloo settings for jobs.</p>
Published Date : 2020年2月19日

azureml.train.estimator.ParameterServer class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-core/azureml.train.estimator.parameterserver <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.estimator.ParameterServer.yml" sourcestartlinenumber="1">Manages Parameter Server settings for training jobs.</p>
Published Date : 2020年2月19日

azureml.train.hyperdrive.EarlyTerminationPolicy class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-core/azureml.train.hyperdrive.earlyterminationpolicy <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.EarlyTerminationPolicy.yml" sourcestartlinenumber="1">Abstract base class for all early termination policies.</p>
Published Date : 2020年2月19日

azureml.train.dnn.TensorFlow class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-core/azureml.train.dnn.tensorflow <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.dnn.TensorFlow.yml" sourcestartlinenumber="1">Represents an estimator for training in TensorFlow experiments.</p> <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.dnn.TensorFlow.yml" sourcestartlinenumber="3">Supported versions: 1.10, 1.12, 1.13, 2.0</p>
Published Date : 2020年2月19日

azureml.train.hyperdrive.HyperParameterSampling class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-core/azureml.train.hyperdrive.hyperparametersampling <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.HyperParameterSampling.yml" sourcestartlinenumber="1">Abstract base class for all hyperparameter sampling algorithms.</p> <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.HyperParameterSampling.yml" sourcestartlinenumber="3">This class encapsulates the hyperparameter space, the sampling method, and additional properties for derived sampling classes: <xref href="azureml.train.hyperdrive.BayesianParameterSampling" data-throw-if-not-resolved="True" data-raw-source="&lt;xref:azureml.train.hyperdrive.BayesianParameterSampling&gt;" sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.HyperParameterSampling.yml" sourcestartlinenumber="4"></xref>, <xref href="azureml.train.hyperdrive.GridParameterSampling" data-throw-if-not-resolved="True" data-raw-source="&lt;xref:azureml.train.hyperdrive.GridParameterSampling&gt;" sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.HyperParameterSampling.yml" sourcestartlinenumber="5"></xref>, and <xref href="azureml.train.hyperdrive.RandomParameterSampling" data-throw-if-not-resolved="True" data-raw-source="&lt;xref:azureml.train.hyperdrive.RandomParameterSampling&gt;" sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.HyperParameterSampling.yml" sourcestartlinenumber="6"></xref>.</p>
Published Date : 2020年2月19日

azureml.train.dnn package - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-core/azureml.train.dnn <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.dnn.yml" sourcestartlinenumber="1">Contains estimators used in Deep Neural Network (DNN) training.</p>
Published Date : 2020年2月19日

azureml.train.dnn.ParameterServer class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-core/azureml.train.dnn.parameterserver <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.dnn.ParameterServer.yml" sourcestartlinenumber="1">Manages Parameter Server settings for training jobs.</p>
Published Date : 2020年2月19日

azureml.train.dnn.Chainer class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-core/azureml.train.dnn.chainer <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.dnn.Chainer.yml" sourcestartlinenumber="1">Represents an estimator for training in Chainer experiments.</p> <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.dnn.Chainer.yml" sourcestartlinenumber="3">Supported versions: 5.1.0</p>
Published Date : 2020年2月19日

azureml.train.estimator.Mpi class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-core/azureml.train.estimator.mpi <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.estimator.Mpi.yml" sourcestartlinenumber="1">Manages MPI settings for distributed training jobs.</p>
Published Date : 2020年2月19日

azureml.train.automl.runtime.automl_explain_utilities.StreamingPipelineExplainabilityWrapper class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-runtime/azureml.train.automl.runtime.automl_explain_utilities.streamingpipelineexplainabilitywrapper <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.automl_explain_utilities.StreamingPipelineExplainabilityWrapper.yml" sourcestartlinenumber="1">Wrapper for streaming pipelines that implements APIs expected by Azure model explainability library.</p>
Published Date : 2020年2月19日

azureml.train.automl.runtime.automl_step.AutoMLStepRun class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-runtime/azureml.train.automl.runtime.automl_step.automlsteprun <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.automl_step.AutoMLStepRun.yml" sourcestartlinenumber="1">AutoMLStepRun is AutoMLRun with additional supports from StepRun.</p> <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.automl_step.AutoMLStepRun.yml" sourcestartlinenumber="3">As AutoMLRun this class can be used to manage, check status, and retrieve run details once a AutoML run is submitted. In addition this class can be used to get default outputs of AutoMLStep via StepRun. For more details on AutoMLRun and StepRun: <xref href="azureml.train.automl.run.AutoMLRun" data-throw-if-not-resolved="True" data-raw-source="&lt;xref:azureml.train.automl.run.AutoMLRun&gt;" sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.automl_step.AutoMLStepRun.yml" sourcestartlinenumber="7"></xref>, <xref href="azureml.pipeline.core.StepRun" data-throw-if-not-resolved="True" data-raw-source="&lt;xref:azureml.pipeline.core.StepRun&gt;" sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.automl_step.AutoMLStepRun.yml" sourcestartlinenumber="8"></xref></p>
Published Date : 2020年2月19日

azureml.train.automl.runtime.stack_ensemble.StackEnsemble class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-runtime/azureml.train.automl.runtime.stack_ensemble.stackensemble <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.stack_ensemble.StackEnsemble.yml" sourcestartlinenumber="1">Class for stack ensembling previous AutoML iterations.</p> <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.stack_ensemble.StackEnsemble.yml" sourcestartlinenumber="3">The ensemble pipeline is initialized from a collection of already fitted pipelines.</p> <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.stack_ensemble.StackEnsemble.yml" sourcestartlinenumber="5">:param automl_settings -- The settings for this current experiment :param ensemble_run_id -- The id of the current ensembling run :param experiment_name -- The name of the current Azure ML experiment :param workspace_name -- The name of the current Azure ML workspace where the experiment is run :param subscription_id -- The id of the current Azure ML subscription where the experiment is run :param resource_group_name -- The name of the current Azure resource group</p>
Published Date : 2020年2月19日

azureml.train.dnn.Gloo class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-core/azureml.train.dnn.gloo <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.dnn.Gloo.yml" sourcestartlinenumber="1">A class for managing Gloo settings for jobs.</p>
Published Date : 2020年2月19日

azureml.train.automl.exceptions.InvalidRunState class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.exceptions.invalidrunstate <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.exceptions.InvalidRunState.yml" sourcestartlinenumber="1">Exception for trying to use a run that is not in a valid state for the given operation.</p>
Published Date : 2020年2月19日

azureml.train.automl.exceptions.CacheException class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.exceptions.cacheexception <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.exceptions.CacheException.yml" sourcestartlinenumber="1">Exception for any cache issues.</p>
Published Date : 2020年2月19日

azureml.train.automl.runtime.automl_explain_utilities module - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-runtime/azureml.train.automl.runtime.automl_explain_utilities <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.automl_explain_utilities.yml" sourcestartlinenumber="1">Utilities that could be used from AutoML after training for explaining AutoML models.</p>
Published Date : 2020年2月19日

azureml.train.automl.runtime package - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-runtime/azureml.train.automl.runtime <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.yml" sourcestartlinenumber="1">Package containing modules used in automated machine learning.</p> <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.yml" sourcestartlinenumber="4">Included classes provide resources for configuring, managing pipelines, and examining run output for automated machine learning experiments.</p> <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.yml" sourcestartlinenumber="8">For more information on automated machine learning, please see <a href="https://docs.microsoft.com/en-us/azure/machine-learning/service/concept-automated-ml" sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.yml" sourcestartlinenumber="9">https://docs.microsoft.com/en-us/azure/machine-learning/service/concept-automated-ml</a></p> <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.yml" sourcestartlinenumber="12">To define a reusable machine learning workflow for automated machine learning, you may use <xref href="azureml.train.automl.runtime.AutoMLStep" data-throw-if-not-resolved="True" data-raw-source="&lt;xref:azureml.train.automl.runtime.AutoMLStep&gt;" sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.yml" sourcestartlinenumber="13"></xref> to create a <xref href="azureml.pipeline.core.pipeline.Pipeline" data-throw-if-not-resolved="True" data-raw-source="&lt;xref:azureml.pipeline.core.pipeline.Pipeline&gt;" sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.yml" sourcestartlinenumber="14"></xref>.</p>
Published Date : 2020年2月19日

azureml.train.automl.runtime.automl_step module - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-runtime/azureml.train.automl.runtime.automl_step <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.automl_step.yml" sourcestartlinenumber="1">To add a step to run automated machine learning as part of the Azure Machine Learning pipeline.</p>
Published Date : 2020年2月19日

azureml.train.automl.exceptions.FeaturizationException class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.exceptions.featurizationexception <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.exceptions.FeaturizationException.yml" sourcestartlinenumber="1">Exception for issues that arise during featurization.</p>
Published Date : 2020年2月19日

azureml.train.automl.runtime.utilities module - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-runtime/azureml.train.automl.runtime.utilities <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.utilities.yml" sourcestartlinenumber="1">Utility methods used by automated machine learning.</p>
Published Date : 2020年2月19日

azureml.train.automl.automlconfig.AutoMLConfig class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.automlconfig.automlconfig <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.automlconfig.AutoMLConfig.yml" sourcestartlinenumber="1">Represents configuration for submitting an Automated Machine Learning experiment in Azure Machine Learning.</p> <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.automlconfig.AutoMLConfig.yml" sourcestartlinenumber="3">This configuration object contains and persists the parameters for configuring the experiment run parameters, as well as the training data to be used at run time. For guidance on selecting your settings, you may refer to <a href="https://docs.microsoft.com/azure/machine-learning/service/how-to-configure-auto-train" sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.automlconfig.AutoMLConfig.yml" sourcestartlinenumber="6">https://docs.microsoft.com/azure/machine-learning/service/how-to-configure-auto-train</a>.</p>
Published Date : 2020年2月19日

azureml.train.dnn.PyTorch class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-core/azureml.train.dnn.pytorch <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.dnn.PyTorch.yml" sourcestartlinenumber="1">Represents an estimator for training in PyTorch experiments.</p> <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.dnn.PyTorch.yml" sourcestartlinenumber="3">Supported versions: 1.0, 1.1, 1.2, 1.3</p>
Published Date : 2020年2月19日

azureml.train.estimator.Gloo class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-core/azureml.train.estimator.gloo <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.estimator.Gloo.yml" sourcestartlinenumber="1">A class for managing Gloo settings for jobs.</p>
Published Date : 2020年2月19日

azureml.telemetry.contracts.Metric class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-telemetry/azureml.telemetry.contracts.metric <p sourcefile="stable/docs-ref-autogen/azureml-telemetry/azureml.telemetry.contracts.Metric.yml" sourcestartlinenumber="1">Metric object for telemetry usage.</p> <p sourcefile="stable/docs-ref-autogen/azureml-telemetry/azureml.telemetry.contracts.Metric.yml" sourcestartlinenumber="3">Use metrics for collecting and aggregating data that can be best aggregated into buckets for analysis.</p>
Published Date : 2020年2月19日

azureml.train.automl.constants module - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.constants <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.constants.yml" sourcestartlinenumber="1">Various constants used throughout automated machine learning.</p>
Published Date : 2020年2月19日

azureml.train.automl.runtime.run.AutoMLRun class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-runtime/azureml.train.automl.runtime.run.automlrun <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.run.AutoMLRun.yml" sourcestartlinenumber="1">AutoMLRun has information of the experiment runs that correspond to the AutoML run.</p> <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.run.AutoMLRun.yml" sourcestartlinenumber="3">This class can be used to manage, check status, and retrieve run details once a AutoML run is submitted.</p>
Published Date : 2020年2月19日

azureml.train.automl.runtime.automl_step.AutoMLStep class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-runtime/azureml.train.automl.runtime.automl_step.automlstep <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.automl_step.AutoMLStep.yml" sourcestartlinenumber="1">Creates an AutoML step in a Pipeline.</p> <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.automl_step.AutoMLStep.yml" sourcestartlinenumber="3">See an example of using this step in notebook <a href="https://aka.ms/pl-automl" sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.automl_step.AutoMLStep.yml" sourcestartlinenumber="3">https://aka.ms/pl-automl</a>.</p>
Published Date : 2020年2月19日

azureml.train.automl.exceptions.ConfigException class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.exceptions.configexception <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.exceptions.ConfigException.yml" sourcestartlinenumber="1">Exception related to invalid user config.</p>
Published Date : 2020年2月19日

azureml.train.dnn.Mpi class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-core/azureml.train.dnn.mpi <p sourcefile="stable/docs-ref-autogen/azureml-train-core/azureml.train.dnn.Mpi.yml" sourcestartlinenumber="1">Manages MPI settings for distributed training jobs.</p>
Published Date : 2020年2月19日

azureml.train.automl.runtime.ensemble module - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-runtime/azureml.train.automl.runtime.ensemble <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.ensemble.yml" sourcestartlinenumber="1">Module for creating ensembles from previous automated machine learning iterations.</p>
Published Date : 2020年2月19日

azureml.train.automl.constants.SupportedModels.Forecasting class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.constants.supportedmodels.forecasting <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.constants.SupportedModels.Forecasting.yml" sourcestartlinenumber="1">Forecasting model names.</p>
Published Date : 2020年2月19日

azureml.train.automl.runtime.ensemble.VotingEnsemble class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-runtime/azureml.train.automl.runtime.ensemble.votingensemble <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.ensemble.VotingEnsemble.yml" sourcestartlinenumber="1">Class for creating a SoftVoting Ensemble out of previous AutoML iterations.</p>
Published Date : 2020年2月19日

azureml.train.automl.exceptions.AutoMLExperimentException class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.exceptions.automlexperimentexception <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.exceptions.AutoMLExperimentException.yml" sourcestartlinenumber="1">Exception that happens during AutoML runtime.</p>
Published Date : 2020年2月19日

azureml.telemetry.logger.AbstractEventLogger class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-telemetry/azureml.telemetry.logger.abstracteventlogger <p sourcefile="stable/docs-ref-autogen/azureml-telemetry/azureml.telemetry.logger.AbstractEventLogger.yml" sourcestartlinenumber="1">Abstract event logger class.</p>
Published Date : 2020年2月19日

azureml.train.automl.runtime.automlexplainer module - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-runtime/azureml.train.automl.runtime.automlexplainer <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.automlexplainer.yml" sourcestartlinenumber="1">The automated machine learning model explainer.</p> <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.automlexplainer.yml" sourcestartlinenumber="4">Included classes allow understanding of <em sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.automlexplainer.yml" sourcestartlinenumber="4">feature importance</em> during model training. Classification and regression models allow for different feature importance output. For an overview, see <a href="https://docs.microsoft.com/azure/machine-learning/service/how-to-machine-learning-interpretability" sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.automlexplainer.yml" sourcestartlinenumber="5">Model interpretability in Azure Machine Learning</a>.</p> <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.automlexplainer.yml" sourcestartlinenumber="9">Feature importance is primarily used in the same sense as SHapley Additive exPlanations (SHAP). For more information and links to papers with precise definitions, see <a href="https://github.com/slundberg/shap" sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.automlexplainer.yml" sourcestartlinenumber="10">SHAP GitHub</a>. For additional background on feature importance, see <a href="https://arxiv.org/abs/1602.04938" sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.automlexplainer.yml" sourcestartlinenumber="11">this paper about LIME</a>, an explanation technique. A different approach on feature importance can be found in <a href="http://people.dbmi.columbia.edu/noemie/papers/15kdd.pdf" sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.automlexplainer.yml" sourcestartlinenumber="12">this paper</a>, with the same techniques used in the <a href="https://github.com/interpretml/interpret" sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.automlexplainer.yml" sourcestartlinenumber="14">InterpretML package</a>.</p>
Published Date : 2020年2月19日

azureml.train.automl.exceptions.DataValidationException class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.exceptions.datavalidationexception <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.exceptions.DataValidationException.yml" sourcestartlinenumber="1">Exception for issues caught while validating user data.</p>
Published Date : 2020年2月19日

azureml.train.automl.runtime.ensemble.Ensemble class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-runtime/azureml.train.automl.runtime.ensemble.ensemble <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.ensemble.Ensemble.yml" sourcestartlinenumber="1">Class for ensembling previous AutoML iterations.</p> <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.ensemble.Ensemble.yml" sourcestartlinenumber="3">The ensemble pipeline is initialized from a collection of already fitted pipelines.</p> <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.ensemble.Ensemble.yml" sourcestartlinenumber="5">:param automl_settings -- The settings for this current experiment :param ensemble_run_id -- The id of the current ensembling run :param experiment_name -- The name of the current Azure ML experiment :param workspace_name -- The name of the current Azure ML workspace where the experiment is run :param subscription_id -- The id of the current Azure ML subscription where the experiment is run :param resource_group_name -- The name of the current Azure resource group</p>
Published Date : 2020年2月19日

azureml.train.automl.runtime.run module - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-runtime/azureml.train.automl.runtime.run <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.run.yml" sourcestartlinenumber="1">The automated machine learning Run class.</p> <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.run.yml" sourcestartlinenumber="4">Provides methods for starting/stopping runs, monitoring run status, and retrieving model output.</p>
Published Date : 2020年2月19日

azureml.train.automl.runtime.stack_ensemble module - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-runtime/azureml.train.automl.runtime.stack_ensemble <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.stack_ensemble.yml" sourcestartlinenumber="1">Module for creating stack ensembles from previous Automated Machine Learning iterations.</p>
Published Date : 2020年2月19日

azureml.train.automl.runtime.AutoMLStepRun class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-runtime/azureml.train.automl.runtime.automlsteprun <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.AutoMLStepRun.yml" sourcestartlinenumber="1">AutoMLStepRun is AutoMLRun with additional supports from StepRun.</p> <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.AutoMLStepRun.yml" sourcestartlinenumber="3">As AutoMLRun this class can be used to manage, check status, and retrieve run details once a AutoML run is submitted. In addition this class can be used to get default outputs of AutoMLStep via StepRun. For more details on AutoMLRun and StepRun: <xref href="azureml.train.automl.run.AutoMLRun" data-throw-if-not-resolved="True" data-raw-source="&lt;xref:azureml.train.automl.run.AutoMLRun&gt;" sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.AutoMLStepRun.yml" sourcestartlinenumber="7"></xref>, <xref href="azureml.pipeline.core.StepRun" data-throw-if-not-resolved="True" data-raw-source="&lt;xref:azureml.pipeline.core.StepRun&gt;" sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.AutoMLStepRun.yml" sourcestartlinenumber="8"></xref></p>
Published Date : 2020年2月19日

azureml.train.automl.utilities module - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.utilities <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.utilities.yml" sourcestartlinenumber="1">Utility methods used by automated machine learning.</p>
Published Date : 2020年2月19日

azureml.train.automl.runtime.automl_explain_utilities.AutoMLExplainerSetupClass class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-runtime/azureml.train.automl.runtime.automl_explain_utilities.automlexplainersetupclass <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.automl_explain_utilities.AutoMLExplainerSetupClass.yml" sourcestartlinenumber="1">Placeholder class for all objects needed for interface with AzureML explain package.</p>
Published Date : 2020年2月19日

azureml.train.automl.runtime.AutoMLStep class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-runtime/azureml.train.automl.runtime.automlstep <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.AutoMLStep.yml" sourcestartlinenumber="1">Creates an AutoML step in a Pipeline.</p> <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.AutoMLStep.yml" sourcestartlinenumber="3">See an example of using this step in notebook <a href="https://aka.ms/pl-automl" sourcefile="stable/docs-ref-autogen/azureml-train-automl-runtime/azureml.train.automl.runtime.AutoMLStep.yml" sourcestartlinenumber="3">https://aka.ms/pl-automl</a>.</p>
Published Date : 2020年2月19日

azureml.train.automl.exceptions.SystemException class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.exceptions.systemexception <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.exceptions.SystemException.yml" sourcestartlinenumber="1">Exception for internal errors that happen within the SDK.</p>
Published Date : 2020年2月19日

azureml.train.automl.exceptions.ProblemInfoException class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.exceptions.probleminfoexception <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.exceptions.ProblemInfoException.yml" sourcestartlinenumber="1">Exception for calculating data characteristics.</p>
Published Date : 2020年2月19日

azureml.train.automl.run module - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.run <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.run.yml" sourcestartlinenumber="1">The automated machine learning Run class.</p> <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.run.yml" sourcestartlinenumber="4">Provides methods for starting/stopping runs, monitoring run status, and retrieving model output.</p>
Published Date : 2020年2月19日

azureml.train.automl.exceptions.ServiceException class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.exceptions.serviceexception <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.exceptions.ServiceException.yml" sourcestartlinenumber="1">Exception related to JOS.</p>
Published Date : 2020年2月19日

azureml.train.automl.exceptions.TrainingException class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.exceptions.trainingexception <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.exceptions.TrainingException.yml" sourcestartlinenumber="1">Exception for issues that arise during model training.</p>
Published Date : 2020年2月19日

azureml.train.automl.exceptions.OnnxConvertException class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.exceptions.onnxconvertexception <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.exceptions.OnnxConvertException.yml" sourcestartlinenumber="1">Exception related to ONNX convert.</p>
Published Date : 2020年2月19日

azureml.train.automl.exceptions.OnnxException class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.exceptions.onnxexception <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.exceptions.OnnxException.yml" sourcestartlinenumber="1">Exception for failures while trying to run ONNX operations.</p>
Published Date : 2020年2月19日

azureml.train.automl.exceptions.ValidationException class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.exceptions.validationexception <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.exceptions.ValidationException.yml" sourcestartlinenumber="1">Exception for any errors caught when validating inputs.</p>
Published Date : 2020年2月19日

azureml.train.automl.exceptions.NotFoundException class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.exceptions.notfoundexception <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.exceptions.NotFoundException.yml" sourcestartlinenumber="1">Exception for when a resource could not be found.</p>
Published Date : 2020年2月19日

azureml.train.automl.exceptions.ModelExplanationException class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.exceptions.modelexplanationexception <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.exceptions.ModelExplanationException.yml" sourcestartlinenumber="1">Exception for failures while trying to explain the model.</p>
Published Date : 2020年2月19日

azureml.train.automl.exceptions.PreTrainingException class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.exceptions.pretrainingexception <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.exceptions.PreTrainingException.yml" sourcestartlinenumber="1">Exception for anything that goes wrong before fitting the user's model.</p>
Published Date : 2020年2月19日

azureml.train.automl.constants.SupportedModels class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.constants.supportedmodels <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.constants.SupportedModels.yml" sourcestartlinenumber="1">Customer Facing Names for all algorithms supported by AutoML.</p>
Published Date : 2020年2月19日

azureml.train.automl.exceptions.ScenarioNotSupportedException class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.exceptions.scenarionotsupportedexception <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.exceptions.ScenarioNotSupportedException.yml" sourcestartlinenumber="1">Exception for unsupported or unimplemented scenarios.</p>
Published Date : 2020年2月19日

azureml.train.automl.exceptions.ModelFitException class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.exceptions.modelfitexception <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.exceptions.ModelFitException.yml" sourcestartlinenumber="1">Exception for failure to fit the model.</p>
Published Date : 2020年2月19日

azureml.train.automl.exceptions.PostTrainingException class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.exceptions.posttrainingexception <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.exceptions.PostTrainingException.yml" sourcestartlinenumber="1">Exception for failures after a model has already been fitted.</p>
Published Date : 2020年2月19日

azureml.train.automl.exceptions module - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.exceptions <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.exceptions.yml" sourcestartlinenumber="1">The set of custom exceptions produced by AutoMl package.</p>
Published Date : 2020年2月19日

azureml.train.automl.exceptions.OptionalDependencyMissingException class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.exceptions.optionaldependencymissingexception <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.exceptions.OptionalDependencyMissingException.yml" sourcestartlinenumber="1">Exception for when an a soft dependency is missing.</p>
Published Date : 2020年2月19日

azureml.telemetry.log_scope module - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-telemetry/azureml.telemetry.log_scope <p sourcefile="stable/docs-ref-autogen/azureml-telemetry/azureml.telemetry.log_scope.yml" sourcestartlinenumber="1">Modules for log scope, including the definition of context manager and decorator.</p>
Published Date : 2020年2月19日

azureml.train.automl.exceptions.DataScriptException class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.exceptions.datascriptexception <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.exceptions.DataScriptException.yml" sourcestartlinenumber="1">Exception for issues with user's get_data script.</p>
Published Date : 2020年2月19日

azureml.train.automl.exceptions.DataException class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.exceptions.dataexception <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.exceptions.DataException.yml" sourcestartlinenumber="1">Exception related to data validations.</p>
Published Date : 2020年2月19日

azureml.train.automl.exceptions.InvalidValueException class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.exceptions.invalidvalueexception <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.exceptions.InvalidValueException.yml" sourcestartlinenumber="1">Exception related to data validations.</p>
Published Date : 2020年2月19日

azureml.train.automl.exceptions.DataPrepValidationException class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.exceptions.dataprepvalidationexception <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.exceptions.DataPrepValidationException.yml" sourcestartlinenumber="1">Exception related to dataprep validation service.</p>
Published Date : 2020年2月19日

azureml.train.automl.exceptions.EarlyTerminationException class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.exceptions.earlyterminationexception <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.exceptions.EarlyTerminationException.yml" sourcestartlinenumber="1">Exception for when user sends an interrupt.</p>
Published Date : 2020年2月19日

azureml.train.automl.constants.SupportedModels.Regression class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.constants.supportedmodels.regression <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.constants.SupportedModels.Regression.yml" sourcestartlinenumber="1">Regression model names.</p>
Published Date : 2020年2月19日

azureml.pipeline.steps package - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-pipeline-steps/azureml.pipeline.steps <p sourcefile="stable/docs-ref-autogen/azureml-pipeline-steps/azureml.pipeline.steps.yml" sourcestartlinenumber="1">Contains pre-built steps that can be executed in an Azure Machine Learning Pipeline.</p> <p sourcefile="stable/docs-ref-autogen/azureml-pipeline-steps/azureml.pipeline.steps.yml" sourcestartlinenumber="4">Azure ML Pipeline steps can be configured together to construct a Pipeline, which represents a shareable and reusable Azure Machine Learning workflow. Each step of a pipeline can be configured to allow reuse of its previous run results if the step contents (scripts and dependencies) as well as inputs and parameters remain unchanged.</p> <p sourcefile="stable/docs-ref-autogen/azureml-pipeline-steps/azureml.pipeline.steps.yml" sourcestartlinenumber="10">The classes in this package are typically used together with the classes in the <xref href="azureml.pipeline.core" data-throw-if-not-resolved="True" data-raw-source="&lt;xref:azureml.pipeline.core&gt;" sourcefile="stable/docs-ref-autogen/azureml-pipeline-steps/azureml.pipeline.steps.yml" sourcestartlinenumber="11"></xref> package. The core package contains classes for configuring data (<xref href="azureml.pipeline.core.PipelineData" data-throw-if-not-resolved="True" data-raw-source="&lt;xref:azureml.pipeline.core.PipelineData&gt;" sourcefile="stable/docs-ref-autogen/azureml-pipeline-steps/azureml.pipeline.steps.yml" sourcestartlinenumber="12"></xref>), scheduling (<xref href="azureml.pipeline.core.Schedule" data-throw-if-not-resolved="True" data-raw-source="&lt;xref:azureml.pipeline.core.Schedule&gt;" sourcefile="stable/docs-ref-autogen/azureml-pipeline-steps/azureml.pipeline.steps.yml" sourcestartlinenumber="12"></xref>), and managing the output of steps (<xref href="azureml.pipeline.core.StepRun" data-throw-if-not-resolved="True" data-raw-source="&lt;xref:azureml.pipeline.core.StepRun&gt;" sourcefile="stable/docs-ref-autogen/azureml-pipeline-steps/azureml.pipeline.steps.yml" sourcestartlinenumber="13"></xref>).</p> <p sourcefile="stable/docs-ref-autogen/azureml-pipeline-steps/azureml.pipeline.steps.yml" sourcestartlinenumber="16">The pre-built steps in this package cover many common scenarios encountered in machine learning workflows. To get started with pre-built pipeline steps, see:</p> <ul sourcefile="stable/docs-ref-autogen/azureml-pipeline-steps/azureml.pipeline.steps.yml" sourcestartlinenumber="20"> <li sourcefile="stable/docs-ref-autogen/azureml-pipeline-steps/azureml.pipeline.steps.yml" sourcestartlinenumber="20"><p sourcefile="stable/docs-ref-autogen/azureml-pipeline-steps/azureml.pipeline.steps.yml" sourcestartlinenumber="20"><a href="https://aka.ms/pl-first-pipeline" sourcefile="stable/docs-ref-autogen/azureml-pipeline-steps/azureml.pipeline.steps.yml" sourcestartlinenumber="20">https://aka.ms/pl-first-pipeline</a></p> </li> <li sourcefile="stable/docs-ref-autogen/azureml-pipeline-steps/azureml.pipeline.steps.yml" sourcestartlinenumber="23"><p sourcefile="stable/docs-ref-autogen/azureml-pipeline-steps/azureml.pipeline.steps.yml" sourcestartlinenumber="23"><a href="https://github.com/Azure/MachineLearningNotebooks/tree/master/how-to-use-azureml/machine-learning-pipelines" sourcefile="stable/docs-ref-autogen/azureml-pipeline-steps/azureml.pipeline.steps.yml" sourcestartlinenumber="23">Jupyter notebooks on GitHub</a></p> </li> </ul>
Published Date : 2020年2月19日

azureml.train.automl.exceptions.MetricCalculationException class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.exceptions.metriccalculationexception <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.exceptions.MetricCalculationException.yml" sourcestartlinenumber="1">Exception for metric not being able to be calculated.</p>
Published Date : 2020年2月19日

azureml.train.automl.exceptions.ClientException class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.exceptions.clientexception <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.exceptions.ClientException.yml" sourcestartlinenumber="1">Exception related to client.</p>
Published Date : 2020年2月19日

azureml.train.automl.exceptions.MissingValueException class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.exceptions.missingvalueexception <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.exceptions.MissingValueException.yml" sourcestartlinenumber="1">Exception related to data validations.</p>
Published Date : 2020年2月19日

azureml.train.automl.exceptions.MalformedValueException class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.exceptions.malformedvalueexception <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.exceptions.MalformedValueException.yml" sourcestartlinenumber="1">Exception related to data validations.</p>
Published Date : 2020年2月19日

azureml.train.automl.constants.SupportedModels.Classification class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.constants.supportedmodels.classification <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.constants.SupportedModels.Classification.yml" sourcestartlinenumber="1">Classification model names.</p>
Published Date : 2020年2月19日

azureml.train.automl.exceptions.AuthorizationException class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.exceptions.authorizationexception <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.exceptions.AuthorizationException.yml" sourcestartlinenumber="1">Exception related to invalid user config.</p>
Published Date : 2020年2月19日

azureml.train.automl.exceptions.BadArgumentException class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.exceptions.badargumentexception <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.exceptions.BadArgumentException.yml" sourcestartlinenumber="1">Exception related to data validations.</p>
Published Date : 2020年2月19日

azureml.train.automl.exceptions.DataprepException class - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-train-automl-client/azureml.train.automl.exceptions.dataprepexception <p sourcefile="stable/docs-ref-autogen/azureml-train-automl-client/azureml.train.automl.exceptions.DataprepException.yml" sourcestartlinenumber="1">Exceptions related to Dataprep.</p>
Published Date : 2020年2月19日

azureml.telemetry package - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-telemetry/azureml.telemetry <p sourcefile="stable/docs-ref-autogen/azureml-telemetry/azureml.telemetry.yml" sourcestartlinenumber="1">Provides functionality for logging, capturing events and metrics, and monitoring code activity.</p> <p sourcefile="stable/docs-ref-autogen/azureml-telemetry/azureml.telemetry.yml" sourcestartlinenumber="4">This package enables you to collect different types of telemetry using free text or structured logging. For example, for unstructured text in high volumes you can use one of the logs from the <xref href="azureml.telemetry.loggers" data-throw-if-not-resolved="True" data-raw-source="&lt;xref:azureml.telemetry.loggers&gt;" sourcefile="stable/docs-ref-autogen/azureml-telemetry/azureml.telemetry.yml" sourcestartlinenumber="6"></xref> module. For collecting and aggregating metrics or capturing low volume events or user activities with a defined schema use the structured schema defined in the <xref href="azureml.telemetry.contracts" data-throw-if-not-resolved="True" data-raw-source="&lt;xref:azureml.telemetry.contracts&gt;" sourcefile="stable/docs-ref-autogen/azureml-telemetry/azureml.telemetry.yml" sourcestartlinenumber="8"></xref> module. You can also, monitor blocks of code with the the <xref href="azureml.telemetry.activity" data-throw-if-not-resolved="True" data-raw-source="&lt;xref:azureml.telemetry.activity&gt;" sourcefile="stable/docs-ref-autogen/azureml-telemetry/azureml.telemetry.yml" sourcestartlinenumber="9"></xref> module.</p> <p sourcefile="stable/docs-ref-autogen/azureml-telemetry/azureml.telemetry.yml" sourcestartlinenumber="12">Log messages, metrics, events, and activity messages can written to Application Insights. For example, you can the <xref href="azureml.telemetry.logging_handler.get_appinsights_log_handler" data-throw-if-not-resolved="True" data-raw-source="&lt;xref:azureml.telemetry.logging_handler.get_appinsights_log_handler&gt;" sourcefile="stable/docs-ref-autogen/azureml-telemetry/azureml.telemetry.yml" sourcestartlinenumber="13"></xref> function to get a handle to an Application Insights instance.</p>
Published Date : 2020年2月19日

azureml.telemetry.logger package - Azure Machine Learning Python

https://docs.microsoft.com/zh-tw/python/api/azureml-telemetry/azureml.telemetry.logger <p sourcefile="stable/docs-ref-autogen/azureml-telemetry/azureml.telemetry.logger.yml" sourcestartlinenumber="1">Init for logger module.</p>
Published Date : 2020年2月19日