AzureML-Recommendation-RRS/Train.ipynb

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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# Use the Azure Machine Learning data collector to log various metrics\r\n",
"from azureml.logging import get_azureml_logger\r\n",
"logger = get_azureml_logger()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# Use Azure Machine Learning history magic to control history collection\r\n",
"# History is off by default, options are \"on\", \"off\", or \"show\"\r\n",
"# %azureml history on"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "blads_recommendation_rrs local",
"language": "python",
"name": "blads_recommendation_rrs_local"
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"codemirror_mode": {
"name": "ipython",
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"name": "python",
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