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…rvices (#1235) Co-authored-by: Sam Goodman <goodmansam@google.com>
* initial work on adding google auth mock * add anonymouscredentials mock to more tests, run linter * add auth mock to more test classes * remove auth mock from two test classes
* feat: support autoscaling metrics when deploying models * feat: support model deploy to endpoint with autoscaling metrics * fix autoscaling_target_accelerator_duty_cycle check * fix docstring: specify that autoscaling_params are optional * bug fix: add autoscaling_target_cpu_utilization to custom_resource_spec * add tests * add _TEST_METRIC_NAME_CPU_UTILIZATION and _TEST_METRIC_NAME_GPU_UTILIZATION * remove not required arguments in tests * fix tests: wait for LRO to complete even if not sync * fix lint: run black Co-authored-by: Sara Robinson <sararob@users.noreply.github.com>
* feat: add update endpoint * add validate_traffic and validate_traffic_split * remove validation, add system tests * Text fixes * Nox blacken change Co-authored-by: Sam Goodman <goodmansam@google.com>
…1254) * replace filepath in test with tmpdir var * update script path var in training job tests * run linter
Release-As: 1.13.1 Co-authored-by: Sam Goodman <goodmansam@google.com>
Co-authored-by: release-please[bot] <55107282+release-please[bot]@users.noreply.github.com>
Adds e2e test for AutoML Forecasting and unit test for `TimeSeriesDataset`. Also adds `create_request_timeout` to `TimeSeriesDataset`, which #1099 seems to have missed. --- Thank you for opening a Pull Request! Before submitting your PR, there are a few things you can do to make sure it goes smoothly: - [x] Make sure to open an issue as a [bug/issue](https://github.com/googleapis/python-aiplatform/issues/new/choose) before writing your code! That way we can discuss the change, evaluate designs, and agree on the general idea - [x] Ensure the tests and linter pass - [x] Code coverage does not decrease (if any source code was changed) - [x] Appropriate docs were updated (if necessary) Fixes #<issue_number_goes_here> 🦕
… job (#1255) Adds support for hierarchical forecasting and window filtering. --- Thank you for opening a Pull Request! Before submitting your PR, there are a few things you can do to make sure it goes smoothly: - [x] Make sure to open an issue as a [bug/issue](https://github.com/googleapis/python-aiplatform/issues/new/choose) before writing your code! That way we can discuss the change, evaluate designs, and agree on the general idea - [x] Ensure the tests and linter pass - [x] Code coverage does not decrease (if any source code was changed) - [x] Appropriate docs were updated (if necessary) Fixes b/229907889 b/228499154 🦕
* chore: release 1.13.1 Release-As: 1.13.1 * Changed test to use list_models() correctly * feat: Changed system test to use list_models() correctly Co-authored-by: Sam Goodman <goodmansam@google.com>
Add holiday regions for Vertex Forecasting. --- Thank you for opening a Pull Request! Before submitting your PR, there are a few things you can do to make sure it goes smoothly: - [x] Make sure to open an issue as a [bug/issue](https://github.com/googleapis/python-aiplatform/issues/new/choose) before writing your code! That way we can discuss the change, evaluate designs, and agree on the general idea - [x] Ensure the tests and linter pass - [x] Code coverage does not decrease (if any source code was changed) - [x] Appropriate docs were updated (if necessary) Fixes b/232964228 🦕
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