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Example of using HyperDrive to tune a regular ML learner.

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Demonstrate the use of Bayesian hyperparameter sampling

Include an alternative to notebook 04 that shows how to use Bayesian hyperparameter sampling.

marabout2015 avatar marabout2015

Update Instrument with Master Changes

dciborow avatar dciborow

Jeremr fix divergence - DO NOT MERGE

Using the PR to test the build pipeline.

jreynolds01 avatar jreynolds01

test (#1)

* Upgrade azure-cli and azureml-sdk. Remove workarounds got feedback 20566 * Added an 'estimators' parameter * Added an 'estimators' parameter * Added an 'estimators' parameter * Update azure-pipelines-v2.yml * Create...

dciborow avatar dciborow

Update azure-pipelines-v2.yml for Azure Pipelines

dciborow avatar dciborow

Update environment.yml

dciborow avatar dciborow

Remove "sudo required for local Docker" workaround

marabout2015 avatar marabout2015

PR of recent changes to master

marabout2015 avatar marabout2015

Use Azure ML Datasets for the data

marabout2015 avatar marabout2015

enhancement

Use the conda_dependencies_file input for consistent environments

Put all dependencies for Estimators in a single Conda dependencies file to be used in all cases.

marabout2015 avatar marabout2015

enhancement

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verified publisher icon microsoft

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Example of using HyperDrive to tune a regular ML learner.

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