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Create sklearn.runconfig
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.azureml/sklearn.runconfig

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{
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"script": "train.py",
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"framework": "Python",
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"communicator": "None",
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"target": "cpu",
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"environment": {
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"python": {
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"interpreterPath": "python",
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"userManagedDependencies": false,
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"condaDependencies": {
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"dependencies":[
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"python=3.6.2",
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"scikit-learn",
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{
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"pip":[
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"azureml-defaults"
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]
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}
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]
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}
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},
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"docker": {
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"baseImage": "mcr.microsoft.com/azureml/base:0.2.4",
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"enabled": true,
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"gpuSupport": true
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}
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}
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}

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