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update samples - test

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vizhur
2019-12-24 00:42:48 +00:00
parent 8f4efe15eb
commit 296ae01587
29 changed files with 1124 additions and 161 deletions
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how-to-use-azureml/automated-machine-learning/classification-credit-card-fraud/auto-ml-classification-credit-card-fraud.ipynb
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@@ -213,7 +213,7 @@
" \"preprocess\": True,\n",
" \"enable_early_stopping\": True,\n",
" \"max_concurrent_iterations\": 2, # This is a limit for testing purpose, please increase it as per cluster size\n",
" \"experiment_timeout_minutes\": 10, # This is a time limit for testing purposes, remove it for real use cases, this will drastically limit ablity to find the best model possible\n",
" \"experiment_timeout_hours\": 0.2, # This is a time limit for testing purposes, remove it for real use cases, this will drastically limit ablity to find the best model possible\n",
" \"verbosity\": logging.INFO,\n",
"}\n",
"\n",
@@ -305,7 +305,7 @@
"source": [
"#### Explain model\n",
"\n",
"Automated ML models can be explained and visualized using the SDK Explainability library. [Learn how to use the explainer](https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/automated-machine-learning/model-explanation-remote-amlcompute/auto-ml-model-explanations-remote-compute.ipynb)."
"Automated ML models can be explained and visualized using the SDK Explainability library. "
]
},
{
@@ -334,17 +334,7 @@
"metadata": {},
"source": [
"#### Print the properties of the model\n",
"The fitted_model is a python object and you can read the different properties of the object.\n",
"See *Print the properties of the model* section in [this sample notebook](https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/automated-machine-learning/classification/auto-ml-classification.ipynb)."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Deploy\n",
"\n",
"To deploy the model into a web service endpoint, see _Deploy_ section in [this sample notebook](https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/automated-machine-learning/classification-with-deployment/auto-ml-classification-with-deployment.ipynb)"
"The fitted_model is a python object and you can read the different properties of the object.\n"
]
},
{