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Update 03.auto-train-models.ipynb #52

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13 changes: 10 additions & 3 deletions tutorials/03.auto-train-models.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -187,7 +187,7 @@
"|**max_time_sec**|12,000|Time limit in seconds for each iteration|\n",
"|**iterations**|20|Number of iterations. In each iteration, the model trains with the data with a specific pipeline|\n",
"|**n_cross_validations**|3|Number of cross validation splits|\n",
"|**exit_score**|0.9985|*double* value indicating the target for *primary_metric*. Once the target is surpassed the run terminates|\n",
"|**exit_score**|0.9995|*double* value indicating the target for *primary_metric*. Once the target is surpassed the run terminates|\n",
"|**blacklist_algos**|['kNN','LinearSVM']|*Array* of *strings* indicating algorithms to ignore.\n"
]
},
Expand Down Expand Up @@ -268,6 +268,13 @@
"RunDetails(local_run).show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"You can find iteration=9 shows the best metric."
]
},
{
"cell_type": "markdown",
"metadata": {},
Expand Down Expand Up @@ -326,7 +333,7 @@
"# register model in workspace\n",
"description = 'Automated Machine Learning Model'\n",
"tags = None\n",
"local_run.register_model(description=description, tags=tags)\n",
"local_run.register_model(description=description, tags=tags, iteration=9)\n",
"local_run.model_id # Use this id to deploy the model as a web service in Azure"
]
},
Expand Down Expand Up @@ -424,4 +431,4 @@
},
"nbformat": 4,
"nbformat_minor": 2
}
}