Merge pull request #166 from jeff-shepherd/master

Fixed broken links in tutorials
This commit is contained in:
Roope Astala
2019-01-08 12:01:50 -08:00
committed by GitHub
2 changed files with 5 additions and 8 deletions

View File

@@ -581,7 +581,7 @@
"> * Deploy the model to ACI\n",
"> * Test the deployed model\n",
" \n",
"You can also try out the [Automatic algorithm selection tutorial](03.auto-train-models.ipynb) to see how Azure Machine Learning can auto-select and tune the best algorithm for your model and build that model for you."
"You can also try out the [regression tutorial](regression-part1-data-prep.ipynb)."
]
}
],

View File

@@ -55,8 +55,6 @@
"import azureml.core\n",
"import pandas as pd\n",
"from azureml.core.workspace import Workspace\n",
"from azureml.train.automl.run import AutoMLRun\n",
"import time\n",
"import logging"
]
},
@@ -93,7 +91,8 @@
"output['Location'] = ws.location\n",
"output['Project Directory'] = project_folder\n",
"pd.set_option('display.max_colwidth', -1)\n",
"pd.DataFrame(data=output, index=['']).T"
"outputDf = pd.DataFrame(data = output, index = [''])\n",
"outputDf.T"
]
},
{
@@ -112,7 +111,6 @@
"outputs": [],
"source": [
"import azureml.dataprep as dprep\n",
"import os\n",
"\n",
"file_path = os.path.join(os.getcwd(), \"dflows.dprep\")\n",
"\n",
@@ -308,7 +306,6 @@
" metrics = {k: v for k, v in run.get_metrics().items() if isinstance(v, float)}\n",
" metricslist[int(properties['iteration'])] = metrics\n",
"\n",
"import pandas as pd\n",
"rundata = pd.DataFrame(metricslist).sort_index(1)\n",
"rundata"
]
@@ -351,7 +348,7 @@
"description = 'Automated Machine Learning Model'\n",
"tags = None\n",
"local_run.register_model(description=description, tags=tags)\n",
"local_run.model_id # Use this id to deploy the model as a web service in Azure"
"print(local_run.model_id) # Use this id to deploy the model as a web service in Azure"
]
},
{
@@ -471,7 +468,7 @@
"> * Explored and reviewed training results\n",
"> * Registered the best model\n",
"\n",
"[Deploy your model](02.deploy-models.ipynb) with Azure Machine Learning."
"You can also try out the [image classification tutorial](img-classification-part1-training.ipynb)."
]
}
],