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Roope Astala
2018-10-12 14:39:33 -04:00
parent 216aa8b6a1
commit a4792d95ac
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14
automl/02.auto-ml-regression.ipynb
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@@ -15,7 +15,7 @@
"source": [
"# AutoML 02: Regression with Local Compute\n",
"\n",
"In this example we use the scikit-learn's [diabetes dataset](http://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_diabetes.html) to showcase how you can use AutoML for a simple regression problem.\n",
"In this example we use the scikit-learn's [diabetes dataset](http://scikit-learn.org/stable/datasets/index.html#diabetes-dataset) to showcase how you can use AutoML for a simple regression problem.\n",
"\n",
"Make sure you have executed the [00.configuration](00.configuration.ipynb) before running this notebook.\n",
"\n",
@@ -108,7 +108,8 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"### Load Training Data"
"### Load Training Data\n",
"This uses scikit-learn's [load_diabetes](http://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_diabetes.html) method."
]
},
{
@@ -172,7 +173,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"## Train the Model\n",
"## Train the Models\n",
"\n",
"Call the `submit` method on the experiment object and pass the run configuration. Execution of local runs is synchronous. Depending on the data and the number of iterations this can run for a while.\n",
"In this example, we specify `show_output = True` to print currently running iterations to the console."
@@ -256,7 +257,7 @@
"source": [
"### Retrieve the Best Model\n",
"\n",
"Below we select the best pipeline from our iterations. The `get_output` method on `automl_classifier` returns the best run and the fitted model for the last invocation. Overloads on `get_output` allow you to retrieve the best run and fitted model for *any* logged metric or for a particular *iteration*."
"Below we select the best pipeline from our iterations. The `get_output` method returns the best run and the fitted model. The Model includes the pipeline and any pre-processing. Overloads on `get_output` allow you to retrieve the best run and fitted model for *any* logged metric or for a particular *iteration*."
]
},
{
@@ -386,6 +387,11 @@
}
],
"metadata": {
"authors": [
{
"name": "savitam"
}
],
"kernelspec": {
"display_name": "Python 3.6",
"language": "python",