remove data-science-onramp samples

[leahecole]

Description

The docs that these samples were part of no longer exist, the landscape has changed a lot, and the samples throw test errors frequently. @bradmiro and I have decided it is best to send these samples off into the sunset 🌄 🪦

Fixes #10228

Note: Before submitting a pull request, please open an issue for discussion if you are not associated with Google.

Checklist

• I have followed Sample Guidelines from AUTHORING_GUIDE.MD
• README is updated to include all relevant information
• Tests pass: nox -s py-3.9 (see Test Environment Setup)
• Lint pass: nox -s lint (see Test Environment Setup)
• These samples need a new API enabled in testing projects to pass (let us know which ones)
• These samples need a new/updated env vars in testing projects set to pass (let us know which ones)
• This sample adds a new sample directory, and I updated the CODEOWNERS file with the codeowners for this sample
• This sample adds a new Product API, and I updated the Blunderbuss issue/PR auto-assigner with the codeowners for this sample
• Please merge this PR for me once it is approved

[review-notebook-app]

Check out this pull request on 

See visual diffs & provide feedback on Jupyter Notebooks.

---

Powered by ReviewNB

[snippet-bot]

Here is the summary of changes.

You are about to delete 45 region tags.

• data-science-onramp/data-ingestion/ingestion.py:23, tag datascienceonramp_data_ingestion
• data-science-onramp/data-processing/process.py:28, tag datascienceonramp_tripdurationudf
• data-science-onramp/data-processing/process.py:55, tag datascienceonramp_stationnameudf
• data-science-onramp/data-processing/process.py:64, tag datascienceonramp_usertypeudf
• data-science-onramp/data-processing/process.py:79, tag datascienceonramp_stationlocationudf
• data-science-onramp/data-processing/process.py:97, tag datascienceonramp_timeconvertudf
• data-science-onramp/data-processing/process.py:119, tag datascienceonramp_timemissingvalueudf
• data-science-onramp/data-processing/process.py:128, tag datascienceonramp_timereturnudf
• data-science-onramp/data-processing/process.py:143, tag datascienceonramp_timehelperudf
• data-science-onramp/data-processing/process.py:161, tag datascienceonramp_sparksession
• data-science-onramp/data-processing/process.py:177, tag datascienceonramp_removecolumn
• data-science-onramp/data-processing/process.py:182, tag datascienceonramp_sparksingleudfs
• data-science-onramp/data-processing/process.py:198, tag datascienceonramp_sparkmultiudfs
• data-science-onramp/data-processing/process.py:218, tag datascienceonramp_displaysamplerows
• data-science-onramp/data-processing/process.py:222, tag datascienceonramp_writetogcs
• data-science-onramp/vertex-ai/modules/setup.py:15, tag aiplatform_setup
• data-science-onramp/vertex-ai/modules/trainer/sklearn_model/model.py:15, tag aiplatform_sklearn_model
• data-science-onramp/vertex-ai/modules/trainer/sklearn_model/model.py:16, tag aiplatform_sklearn_model_imports
• data-science-onramp/vertex-ai/modules/trainer/sklearn_model/model.py:24, tag aiplatform_sklearn_model_polynomial_model
• data-science-onramp/vertex-ai/modules/trainer/sklearn_model/task.py:15, tag aiplatform_sklearn_task
• data-science-onramp/vertex-ai/modules/trainer/sklearn_model/task.py:16, tag aiplatform_sklearn_task_imports
• data-science-onramp/vertex-ai/modules/trainer/sklearn_model/task.py:31, tag aiplatform_sklearn_task_args
• data-science-onramp/vertex-ai/modules/trainer/sklearn_model/task.py:59, tag aiplatform_sklearn_task_fit
• data-science-onramp/vertex-ai/modules/trainer/sklearn_model/task.py:82, tag aiplatform_sklearn_task_export
• data-science-onramp/vertex-ai/modules/trainer/tfkeras_model/model.py:15, tag aiplatform_tfkeras_model
• data-science-onramp/vertex-ai/modules/trainer/tfkeras_model/model.py:18, tag aiplatform_tfkeras_model_tf_import
• data-science-onramp/vertex-ai/modules/trainer/tfkeras_model/model.py:25, tag aiplatform_tfkeras_model_input_fn
• data-science-onramp/vertex-ai/modules/trainer/tfkeras_model/model.py:50, tag aiplatform_tfkeras_model_create_keras_model
• data-science-onramp/vertex-ai/modules/trainer/tfkeras_model/model.py:51, tag aiplatform_tfkeras_model_create_keras_model_init
• data-science-onramp/vertex-ai/modules/trainer/tfkeras_model/model.py:61, tag aiplatform_tfkeras_model_create_keras_model_define
• data-science-onramp/vertex-ai/modules/trainer/tfkeras_model/task.py:15, tag aiplatform_tfkeras_task
• data-science-onramp/vertex-ai/modules/trainer/tfkeras_model/task.py:19, tag aiplatform_tfkeras_task_imports
• data-science-onramp/vertex-ai/modules/trainer/tfkeras_model/task.py:31, tag aiplatform_tfkeras_task_args
• data-science-onramp/vertex-ai/modules/trainer/tfkeras_model/task.py:69, tag aiplatform_tfkeras_task_train_and_evaluate
• data-science-onramp/vertex-ai/modules/trainer/tfkeras_model/task.py:70, tag aiplatform_tfkeras_task_train_and_evaluate_load
• data-science-onramp/vertex-ai/modules/trainer/tfkeras_model/task.py:87, tag aiplatform_tfkeras_task_train_and_evaluate_dimensions
• data-science-onramp/vertex-ai/modules/trainer/tfkeras_model/task.py:94, tag aiplatform_tfkeras_task_train_and_evaluate_model
• data-science-onramp/vertex-ai/modules/trainer/tfkeras_model/task.py:103, tag aiplatform_tfkeras_task_train_and_evaluate_training_data
• data-science-onramp/vertex-ai/modules/trainer/tfkeras_model/task.py:114, tag aiplatform_tfkeras_task_train_and_evaluate_validation_data
• data-science-onramp/vertex-ai/modules/trainer/tfkeras_model/task.py:125, tag aiplatform_tfkeras_task_train_and_evaluate_fit_export
• data-science-onramp/vertex-ai/modules/trainer/utils.py:15, tag aiplatform_utils
• data-science-onramp/vertex-ai/modules/trainer/utils.py:16, tag aiplatform_utils_imports
• data-science-onramp/vertex-ai/modules/trainer/utils.py:26, tag aiplatform_utils_load_data
• data-science-onramp/vertex-ai/modules/trainer/utils.py:34, tag aiplatform_utils_extract_ft
• data-science-onramp/vertex-ai/modules/trainer/utils.py:40, tag aiplatform_utils_split

---

This comment is generated by snippet-bot.
If you find problems with this result, please file an issue at:
https://github.com/googleapis/repo-automation-bots/issues.
To update this comment, add snippet-bot:force-run label or use the checkbox below:

• Refresh this comment