diff --git a/notebooks/official/model_monitoring/README.md b/notebooks/official/model_monitoring/README.md index 53afbdacc..fef9a6582 100644 --- a/notebooks/official/model_monitoring/README.md +++ b/notebooks/official/model_monitoring/README.md @@ -12,6 +12,8 @@ The steps performed include: ``` +   Learn more about [Vertex AI Model Monitoring for batch predictions](https://cloud.google.com/vertex-ai/docs/model-monitoring/model-monitoring-batch-predictions). + [Vertex AI Model Monitoring with Explainable AI Feature Attributions](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/model_monitoring/model_monitoring.ipynb) @@ -30,3 +32,5 @@ The steps performed include: ``` +   Learn more about [Vertex AI Model Monitoring](https://cloud.google.com/vertex-ai/docs/model-monitoring). + diff --git a/notebooks/official/model_monitoring/batch_prediction_model_monitoring.ipynb b/notebooks/official/model_monitoring/batch_prediction_model_monitoring.ipynb index e013d7ff5..17567097e 100644 --- a/notebooks/official/model_monitoring/batch_prediction_model_monitoring.ipynb +++ b/notebooks/official/model_monitoring/batch_prediction_model_monitoring.ipynb @@ -61,7 +61,9 @@ "source": [ "## Overview\n", "\n", - "In this notebook, you will learn how to use Model Monitoring with batch prediction requests on a deployed Vertex AI Model resource. In a companion notebook, Vertex AI Model Monitoring with Explainable AI Feature Attributions, you can learn about how to apply model monitoring to streaming, real-time predictions." + "In this notebook, you will learn how to use Model Monitoring with batch prediction requests on a deployed Vertex AI Model resource. In a companion notebook, Vertex AI Model Monitoring with Explainable AI Feature Attributions, you can learn about how to apply model monitoring to streaming, real-time predictions.\n", + "\n", + "Learn more about [Vertex AI Model Monitoring for batch predictions](https://cloud.google.com/vertex-ai/docs/model-monitoring/model-monitoring-batch-predictions)." ] }, { diff --git a/notebooks/official/model_monitoring/model_monitoring.ipynb b/notebooks/official/model_monitoring/model_monitoring.ipynb index d17b8f602..63d14a6c5 100644 --- a/notebooks/official/model_monitoring/model_monitoring.ipynb +++ b/notebooks/official/model_monitoring/model_monitoring.ipynb @@ -80,7 +80,9 @@ "\n", "[Vertex Explainable AI](https://cloud.google.com/vertex-ai/docs/explainable-ai/overview) adds another facet to model monitoring, which we call feature attribution monitoring. Explainable AI enables you to understand the relative contribution of each feature to a resulting prediction. In essence, it assesses the magnitude of each feature's influence.\n", "\n", - "If production traffic differs from training data, or varies substantially over time, **either in terms of model predictions or feature attributions**, that's likely to impact the quality of the answers your model produces. When that happens, you'd like to be alerted automatically and responsively, so that **you can anticipate problems before they affect your customer experiences or your revenue streams**." + "If production traffic differs from training data, or varies substantially over time, **either in terms of model predictions or feature attributions**, that's likely to impact the quality of the answers your model produces. When that happens, you'd like to be alerted automatically and responsively, so that **you can anticipate problems before they affect your customer experiences or your revenue streams**.\n", + "\n", + "Learn more about [Vertex AI Model Monitoring](https://cloud.google.com/vertex-ai/docs/model-monitoring)." ] }, { diff --git a/notebooks/official/pipelines/README.md b/notebooks/official/pipelines/README.md index 1cd872067..486c90c47 100644 --- a/notebooks/official/pipelines/README.md +++ b/notebooks/official/pipelines/README.md @@ -1,7 +1,4 @@ -### pipelines - - [AutoML image classification pipelines using google-cloud-pipeline-components](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/pipelines/google_cloud_pipeline_components_automl_images.ipynb) ``` @@ -19,6 +16,10 @@ The steps performed include: ``` +   Learn more about [Vertex AI Pipelines](https://cloud.google.com/vertex-ai/docs/pipelines/introduction). + +   Learn more about [AutoML components](https://cloud.google.com/vertex-ai/docs/pipelines/vertex-automl-component). + [Metrics visualization and run comparison using the KFP SDK](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/pipelines/metrics_viz_run_compare_kfp.ipynb) @@ -36,6 +37,8 @@ The steps performed include: ``` +   Learn more about [Vertex AI Pipelines](https://cloud.google.com/vertex-ai/docs/pipelines/introduction). + [Lightweight Python function-based components, and component I/O](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/pipelines/lightweight_functions_component_io_kfp.ipynb) @@ -53,6 +56,8 @@ The steps performed include: ``` +   Learn more about [Vertex AI Pipelines](https://cloud.google.com/vertex-ai/docs/pipelines/introduction). + [Custom training with pre-built Google Cloud Pipeline Components](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/pipelines/custom_model_training_and_batch_prediction.ipynb) @@ -70,6 +75,10 @@ The steps performed include: ``` +   Learn more about [Vertex AI Pipelines](https://cloud.google.com/vertex-ai/docs/pipelines/introduction). + +   Learn more about [Vertex AI Training components](https://cloud.google.com/vertex-ai/docs/training/create-training-pipeline). + [AutoML Tabular pipelines using google-cloud-pipeline-components](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/pipelines/automl_tabular_classification_beans.ipynb) @@ -88,6 +97,10 @@ The steps performed include: ``` +   Learn more about [Vertex AI Pipelines](https://cloud.google.com/vertex-ai/docs/pipelines/introduction). + +   Learn more about [AutoML components](https://cloud.google.com/vertex-ai/docs/pipelines/vertex-automl-component). + [Training an acquisition-prediction model using Swivel, BigQuery ML and Vertex AI Pipelines](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/pipelines/google_cloud_pipeline_components_bqml_text.ipynb) @@ -105,6 +118,10 @@ The steps performed include: ``` +   Learn more about [Vertex AI Pipelines](https://cloud.google.com/vertex-ai/docs/pipelines/introduction). + +   Learn more about [BigQuery ML components](https://cloud.google.com/vertex-ai/docs/pipelines/bigqueryml-component). + [Pipelines introduction for KFP](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/pipelines/pipelines_intro_kfp.ipynb) @@ -118,6 +135,8 @@ The steps performed include: ``` +   Learn more about [Vertex AI Pipelines](https://cloud.google.com/vertex-ai/docs/pipelines/introduction). + [AutoML tabular regression pipelines using google-cloud-pipeline-components](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/pipelines/google_cloud_pipeline_components_automl_tabular.ipynb) @@ -136,6 +155,10 @@ The steps performed include: ``` +   Learn more about [Vertex AI Pipelines](https://cloud.google.com/vertex-ai/docs/pipelines/introduction). + +   Learn more about [AutoML components](https://cloud.google.com/vertex-ai/docs/pipelines/vertex-automl-component). + [Model upload, predict, and evaluate using google-cloud-pipeline-components](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/pipelines/google_cloud_pipeline_components_model_upload_predict_evaluate.ipynb) @@ -151,6 +174,10 @@ The steps performed include: ``` +   Learn more about [Vertex AI Pipelines](https://cloud.google.com/vertex-ai/docs/pipelines/introduction). + +   Learn more about [Vertex AI Model components](https://cloud.google.com/vertex-ai/docs/pipelines/model-endpoint-component). + [Pipeline control structures using the KFP SDK](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/pipelines/control_flow_kfp.ipynb) @@ -166,22 +193,28 @@ The steps performed include: ``` +   Learn more about [Vertex AI Pipelines](https://cloud.google.com/vertex-ai/docs/pipelines/introduction). + [Loan eligibility prediction using `google-cloud-pipeline-components` and Spark ML](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/pipelines/google_cloud_pipeline_components_dataproc_tabular.ipynb) ``` -Learn how to build a Vertex AI pipeline and train a Random-forest model using Spark ML for loan-eligibility classification problem. +Learn how to build a Vertex AI pipeline and train a random-forest model using Spark ML for loan-eligibility classification problem. The steps performed include: * Use the `DataprocPySparkBatchOp` to preprocess data. * Create a Vertex AI dataset resource on the training data. -* Train a random forest model using Pyspark. +* Train a random forest model using PySpark. * Build a Vertex AI pipeline and run the training job. * Use the Spark serving image in order to deploy a Spark model on Vertex AI Endpoint. ``` +   Learn more about [Vertex AI Pipelines](https://cloud.google.com/vertex-ai/docs/pipelines/introduction). + +   Learn more about [Dataproc components](https://cloud.google.com/vertex-ai/docs/pipelines/dataproc-component). + [Model train, upload, and deploy using Google Cloud Pipeline Components](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/pipelines/google_cloud_pipeline_components_model_train_upload_deploy.ipynb) @@ -200,6 +233,10 @@ The steps performed include: ``` +   Learn more about [Vertex AI Pipelines](https://cloud.google.com/vertex-ai/docs/pipelines/introduction). + +   Learn more about [Vertex AI Training components](https://cloud.google.com/vertex-ai/docs/pipelines/customjob-component). + [AutoML text classification pipelines using google-cloud-pipeline-components](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/pipelines/google_cloud_pipeline_components_automl_text.ipynb) @@ -218,6 +255,10 @@ The steps performed include: ``` +   Learn more about [Vertex AI Pipelines](https://cloud.google.com/vertex-ai/docs/pipelines/introduction). + +   Learn more about [AutoML components](https://cloud.google.com/vertex-ai/docs/pipelines/vertex-automl-component). + [Training and batch prediction with BigQuery source and destinantion for a custom tabular classification model](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/pipelines/custom_tabular_train_batch_pred_bq_pipeline.ipynb) @@ -240,3 +281,7 @@ The steps performed include: ``` +   Learn more about [Vertex AI Pipelines](https://cloud.google.com/vertex-ai/docs/pipelines/introduction). + +   Learn more about [Vertex AI Batch Prediction components](https://cloud.google.com/vertex-ai/docs/pipelines/batchprediction-component). + diff --git a/notebooks/official/prediction/README.md b/notebooks/official/prediction/README.md index 38e3dc552..0c7fde9bb 100644 --- a/notebooks/official/prediction/README.md +++ b/notebooks/official/prediction/README.md @@ -1,7 +1,4 @@ -### prediction - - [Custom model batch prediction with feature filtering](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/prediction/custom_batch_prediction_feature_filter.ipynb) ``` @@ -15,3 +12,5 @@ The steps performed include: ``` +   Learn more about [Vertex AI Batch Prediction](https://cloud.google.com/vertex-ai/docs/tabular-data/classification-regression/get-batch-predictions). +