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1 Commits
Author SHA1 Message Date
Andrew Ferlitsch dcc87bc2b5 fix: bad link 2023-02-03 22:19:45 +00:00
@@ -24,7 +24,6 @@
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@@ -39,18 +38,18 @@
"<table align=\"left\">\n",
"\n",
" <td>\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/explainable_ai/xai_image_classification_feature_attributions.ipynb.ipynb\">\n",
" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/explainable_ai/xai_image_classification_feature_attributions.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/explainable_ai/xai_image_classification_feature_attributions.ipynb.ipynb\">\n",
" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/explainable_ai/xai_image_classification_feature_attributions.ipynb\">\n",
" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
" View on GitHub\n",
" </a>\n",
" </td>\n",
" <td>\n",
" <a href=\"https://console.cloud.google.com/vertex-ai/workbench/deploy-notebook?download_url=https://raw.githubusercontent.com/GoogleCloudPlatform/vertex-ai-samples/main/notebooks/official/explainable_ai/xai_image_classification_feature_attributions.ipynb.ipynb\">\n",
" <a href=\"https://console.cloud.google.com/vertex-ai/workbench/deploy-notebook?download_url=https://raw.githubusercontent.com/GoogleCloudPlatform/vertex-ai-samples/main/notebooks/official/explainable_ai/xai_image_classification_feature_attributions.ipynb\">\n",
" <img src=\"https://lh3.googleusercontent.com/UiNooY4LUgW_oTvpsNhPpQzsstV5W8F7rYgxgGBD85cWJoLmrOzhVs_ksK_vgx40SHs7jCqkTkCk=e14-rj-sc0xffffff-h130-w32\" alt=\"Vertex AI logo\">\n",
" Open in Vertex AI Workbench\n",
" </a>\n",
@@ -79,11 +78,12 @@
"\n",
"Vertex Explainable AI offers feature-based and example-based explanations to provide better understanding of model decision making. For feature-based explanations, Vertex Explainable AI integrates feature attributions into Vertex AI. Feature attributions indicate how much each feature in your model contributed to the predictions for each given instance. For an image classification model, when you request explanations, you get the predicted class along with an overlay for the image, showing which areas in the image contributed most strongly to the resulting prediction.\n",
"\n",
"To use Vertex Explainable AI on a pre-trained or custom-trained model, you must configure certain options when you create the `Model` resource that you plan to request explanations from, when you deploy the model, or when you submit a batch explanation job. This tutorial demonstrates how to configure these options, and get and visualize explanations for online and batch predictions."
"To use Vertex Explainable AI on a pre-trained or custom-trained model, you must configure certain options when you create the `Model` resource that you plan to request explanations from, when you deploy the model, or when you submit a batch explanation job. This tutorial demonstrates how to configure these options, and get and visualize explanations for online and batch predictions.\n",
"\n",
"Learn more about [Vertex Explainable AI](https://cloud.google.com/vertex-ai/docs/explainable-ai/overview) and [Vertex AI Prediction](https://cloud.google.com/vertex-ai/docs/predictions/get-predictions)."
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@@ -449,7 +449,6 @@
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@@ -554,7 +553,6 @@
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