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| 1 | +{% set name = "google-cloud-aiplatform" %} |
| 2 | +{% set version = "1.10.0" %} |
| 3 | +{% set sha256 = "b6901122638f13f7c4ec4218a4d41855766f056d169bb29377492175f384c5ed" %} |
| 4 | +{% set dev_url = "https://github.com/googleapis/python-aiplatform" %} |
| 5 | +{% set doc_url = "https://cloud.google.com/python/docs/reference/aiplatform/latest" %} |
| 6 | + |
| 7 | +package: |
| 8 | + name: {{ name|lower }} |
| 9 | + version: {{ version }} |
| 10 | + |
| 11 | +source: |
| 12 | + url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name }}-{{ version }}.tar.gz |
| 13 | + sha256: {{ sha256 }} |
| 14 | + |
| 15 | +build: |
| 16 | + number: 0 |
| 17 | + noarch: python |
| 18 | + script: {{ PYTHON }} -m pip install . -vv |
| 19 | + |
| 20 | +requirements: |
| 21 | + host: |
| 22 | + - python >=3.6 |
| 23 | + - pip |
| 24 | + run: |
| 25 | + - python >=3.6 |
| 26 | + - google-api-core-grpc >=1.26.0,<3.0.0dev |
| 27 | + - proto-plus >=1.10.1 |
| 28 | + - packaging >=14.3 |
| 29 | + - google-cloud-storage >=1.32.0,<2.0.0dev |
| 30 | + - google-cloud-bigquery >=1.15.0,<3.0.0dev |
| 31 | + |
| 32 | +test: |
| 33 | + imports: |
| 34 | + - google.api_core |
| 35 | + - google.cloud.aiplatform |
| 36 | + - google.cloud.aiplatform.hyperparameter_tuning |
| 37 | + - google.cloud.aiplatform.initializer |
| 38 | + - google.cloud.aiplatform.jobs |
| 39 | + - google.cloud.aiplatform.models |
| 40 | + - google.cloud.aiplatform.pipeline_jobs |
| 41 | + - google.cloud.aiplatform.schema |
| 42 | + - google.cloud.aiplatform.training_jobs |
| 43 | + - google.cloud.aiplatform.version |
| 44 | + - google.cloud.aiplatform_v1 |
| 45 | + - google.cloud.aiplatform_v1beta1 |
| 46 | + commands: |
| 47 | + - pip check |
| 48 | + requires: |
| 49 | + - pip |
| 50 | + |
| 51 | +about: |
| 52 | + home: {{ dev_url }} |
| 53 | + license: Apache-2.0 |
| 54 | + license_family: Apache |
| 55 | + license_file: LICENSE |
| 56 | + summary: Vertex AI SDK for Python |
| 57 | + description: | |
| 58 | + Google Vertex AI is an integrated suite of machine learning tools and services for building and using ML models |
| 59 | + with AutoML or custom code. It offers both novices and experts the best workbench for the entire machine learning |
| 60 | + development lifecycle. |
| 61 | + doc_url: {{ doc_url }} |
| 62 | + dev_url: {{ dev_url }} |
| 63 | + |
| 64 | +extra: |
| 65 | + recipe-maintainers: |
| 66 | + - parthea |
| 67 | + - morgandu |
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