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Autoindex official (#1421)
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This commit is contained in:
Andrew Ferlitsch
@@ -1,3 +1,4 @@
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[Training and deploying a sales forecasting model using FBProphet and Vertex AI](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/custom/SDK_FBProphet_Forecasting_Online.ipynb)
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```
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@@ -16,6 +17,10 @@ The steps performed include:
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```
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Learn more about [Vertex AI Training](https://cloud.google.com/vertex-ai/docs/training/custom-training).
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Learn more about [Vertex AI Prediction](https://cloud.google.com/vertex-ai/docs/predictions/get-predictions).
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[Custom training and batch prediction](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/custom/sdk-custom-image-classification-batch.ipynb)
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@@ -30,6 +35,10 @@ The steps performed include:
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```
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Learn more about [Vertex AI Training](https://cloud.google.com/vertex-ai/docs/training/custom-training).
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Learn more about [Vertex AI Batch Prediction](https://cloud.google.com/vertex-ai/docs/tabular-data/classification-regression/get-batch-predictions).
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[Profile model training performance using Profiler](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/custom/custom_training_tensorboard_profiler.ipynb)
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@@ -45,6 +54,8 @@ The steps performed include:
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```
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Learn more about [Vertex AI TensorBoard Profiler](https://cloud.google.com/vertex-ai/docs/experiments/tensorboard-profiler).
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[Training a TensorFlow model on BigQuery data](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/custom/custom-tabular-bq-managed-dataset.ipynb)
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@@ -61,6 +72,8 @@ The steps performed include:
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```
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Learn more about [Vertex AI Training](https://cloud.google.com/vertex-ai/docs/training/custom-training).
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[Custom training and online prediction](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/custom/sdk-custom-image-classification-online.ipynb)
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@@ -78,6 +91,10 @@ The steps performed include:
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```
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Learn more about [Vertex AI Training](https://cloud.google.com/vertex-ai/docs/training/custom-training).
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Learn more about [Vertex AI Prediction](https://cloud.google.com/vertex-ai/docs/predictions/get-predictions).
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[Deploying Iris-detection model using FastAPI and Vertex AI custom container serving](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/custom/SDK_Custom_Container_Prediction.ipynb)
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@@ -94,3 +111,7 @@ The steps performed include:
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```
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Learn more about [Vertex AI Training](https://cloud.google.com/vertex-ai/docs/training/custom-training).
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Learn more about [Vertex AI Prediction](https://cloud.google.com/vertex-ai/docs/predictions/get-predictions).
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@@ -0,0 +1,38 @@
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[Get started with BigQuery datasets](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/datasets/get_started_bq_datasets.ipynb)
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```
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Learn how to use `BigQuery` as a dataset for training with `Vertex AI`.
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The steps performed include:
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- Create a Vertex AI `Dataset` resource from `BigQuery` table -- compatible for `AutoML` training.
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- Extract a copy of the dataset from `BigQuery` to a CSV file in Cloud Storage -- compatible for `AutoML` or custom training.
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- Select rows from a `BigQuery` dataset into a `pandas` dataframe -- compatible for custom training.
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- Select rows from a `BigQuery` dataset into a `tf.data.Dataset` -- compatible for custom training `TensorFlow` models.
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- Select rows from extracted CSV files into a `tf.data.Dataset` -- compatible for custom training `TensorFlow` models.
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- Create a `BigQuery` dataset from CSV files.
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- Extract data from `BigQuery` table into a `DMatrix` -- compatible for custom training `XGBoost` models.
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```
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Learn more about [BigQuery Datasets](https://cloud.google.com/bigquery/docs/datasets-intro).
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[Get started with Vertex AI Data Labeling](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/datasets/get_started_with_data_labeling.ipynb)
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```
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Learn how to use the `Vertex AI Data Labeling` service.
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The steps performed include:
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- Create a Specialist Pool for data labelers.
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- Create a data labeling job.
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- Submit the data labeling job.
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- List data labeling jobs.
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- Cancel a data labeling job.
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```
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Learn more about [Vertex AI Data Labeling](https://cloud.google.com/vertex-ai/docs/datasets/data-labeling-job).
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@@ -1,3 +1,4 @@
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[Compare pipeline runs with Vertex AI Experiments](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/experiments/comparing_pipeline_runs.ipynb)
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```
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@@ -12,6 +13,10 @@ The steps performed include:
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```
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Learn more about [Vertex AI Experiments](https://cloud.google.com/vertex-ai/docs/experiments/intro-vertex-ai-experiments).
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Learn more about [Vertex AI Pipelines](https://cloud.google.com/vertex-ai/docs/pipelines/introduction).
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[Track parameters and metrics for locally trained models](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/experiments/comparing_local_trained_models.ipynb)
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@@ -26,13 +31,27 @@ The steps performed include:
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```
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Learn more about [Vertex AI Experiments](https://cloud.google.com/vertex-ai/docs/experiments/intro-vertex-ai-experiments).
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[Build Vertex AI Experiment lineage for custom training](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/experiments/build_model_experimentation_lineage_with_prebuild_code.ipynb)
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```
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Learn how to integrate preprocessing code in a Vertex AI experiments.
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The steps performed include:
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- Execute module for preprocessing data
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- Create a dataset artifact
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- Log parameters
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- Execute module for training the model
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- Log parameters
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- Create model artifact
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- Assign tracking lineage to dataset, model and parameters
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```
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Learn more about [Vertex AI Experiments](https://cloud.google.com/vertex-ai/docs/experiments/intro-vertex-ai-experiments).
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Learn more about [Vertex ML Metadata](https://cloud.google.com/vertex-ai/docs/ml-metadata).
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