- 0.60.0 (latest)
- 0.59.0
- 0.58.0
- 0.57.0
- 0.56.0
- 0.55.0
- 0.54.0
- 0.53.0
- 0.52.0
- 0.51.0
- 0.50.0
- 0.49.0
- 0.48.0
- 0.47.0
- 0.46.0
- 0.45.0
- 0.44.0
- 0.43.0
- 0.42.0
- 0.41.0
- 0.40.0
- 0.39.0
- 0.38.0
- 0.37.0
- 0.36.0
- 0.35.0
- 0.34.0
- 0.33.0
- 0.32.0
- 0.31.0
- 0.30.0
- 0.29.0
- 0.28.0
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- 0.26.0
- 0.25.0
- 0.24.0
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- 0.22.0
- 0.21.0
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- 0.19.0
- 0.18.0
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- 0.16.0
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- 0.14.0
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- 0.9.1
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Reference documentation and code samples for the Vertex AI V1 API module Google::Cloud::AIPlatform::V1::Schema::TrainingJob::Definition::AutoMlImageClassificationInputs::ModelType.
Constants
MODEL_TYPE_UNSPECIFIED
value: 0
Should not be set.
CLOUD
value: 1
A Model best tailored to be used within Google Cloud, and which cannot
be exported.
Default.
MOBILE_TF_LOW_LATENCY_1
value: 2
A model that, in addition to being available within Google
Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
or Core ML model and used on a mobile or edge device afterwards.
Expected to have low latency, but may have lower prediction
quality than other mobile models.
MOBILE_TF_VERSATILE_1
value: 3
A model that, in addition to being available within Google
Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
or Core ML model and used on a mobile or edge device with afterwards.
MOBILE_TF_HIGH_ACCURACY_1
value: 4
A model that, in addition to being available within Google
Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
or Core ML model and used on a mobile or edge device afterwards.
Expected to have a higher latency, but should also have a higher
prediction quality than other mobile models.