jprdonnelly/MachineLearningNotebooks
1
0
Fork 0
mirror of https://github.com/Azure/MachineLearningNotebooks.git synced 2025-12-19 17:17:04 -05:00
Code Issues Projects Releases Wiki Activity

update samples from Release-97 as a part of SDK release

Browse Source
This commit is contained in:
amlrelsa-ms
2021-05-24 17:39:23 +00:00
parent 467630f955
commit ec9a5a061d
40 changed files with 644 additions and 361 deletions
Download Patch File Download Diff File Expand all files Collapse all files

16
contrib/fairness/upload-fairness-dashboard.ipynb
View File

@@ -30,7 +30,7 @@
"1. [Training Models](#TrainingModels)\n",
"1. [Logging in to AzureML](#LoginAzureML)\n",
"1. [Registering the Models](#RegisterModels)\n",
"1. [Using the Fairlearn Dashboard](#LocalDashboard)\n",
"1. [Using the Fairness Dashboard](#LocalDashboard)\n",
"1. [Uploading a Fairness Dashboard to Azure](#AzureUpload)\n",
" 1. Computing Fairness Metrics\n",
" 1. Uploading to Azure\n",
@@ -48,9 +48,10 @@
"Please see the [configuration notebook](../../configuration.ipynb) for information about creating one, if required.\n",
"This notebook also requires the following packages:\n",
"* `azureml-contrib-fairness`\n",
"* `fairlearn==0.4.6` (should also work with v0.5.0)\n",
"* `fairlearn>=0.6.2` (also works for pre-v0.5.0 with slight modifications)\n",
"* `joblib`\n",
"* `liac-arff`\n",
"* `raiwidgets==0.4.0`\n",
"\n",
"Fairlearn relies on features introduced in v0.22.1 of `scikit-learn`. If you have an older version already installed, please uncomment and run the following cell:"
]
@@ -388,12 +389,11 @@
"metadata": {},
"outputs": [],
"source": [
"from fairlearn.widget import FairlearnDashboard\n",
"from raiwidgets import FairnessDashboard\n",
"\n",
"FairlearnDashboard(sensitive_features=A_test, \n",
" sensitive_feature_names=['Sex', 'Race'],\n",
" y_true=y_test.tolist(),\n",
" y_pred=ys_pred)"
"FairnessDashboard(sensitive_features=A_test, \n",
" y_true=y_test.tolist(),\n",
" y_pred=ys_pred)"
]
},
{
@@ -403,7 +403,7 @@
"<a id=\"AzureUpload\"></a>\n",
"## Uploading a Fairness Dashboard to Azure\n",
"\n",
"Uploading a fairness dashboard to Azure is a two stage process. The `FairlearnDashboard` invoked in the previous section relies on the underlying Python kernel to compute metrics on demand. This is obviously not available when the fairness dashboard is rendered in AzureML Studio. The required stages are therefore:\n",
"Uploading a fairness dashboard to Azure is a two stage process. The `FairnessDashboard` invoked in the previous section relies on the underlying Python kernel to compute metrics on demand. This is obviously not available when the fairness dashboard is rendered in AzureML Studio. The required stages are therefore:\n",
"1. Precompute all the required metrics\n",
"1. Upload to Azure\n",
"\n",