- 1.52.0 (latest)
- 1.51.0
- 1.50.0
- 1.49.0
- 1.48.0
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- 1.45.0
- 1.44.0
- 1.43.0
- 1.39.0
- 1.38.1
- 1.37.0
- 1.36.4
- 1.35.0
- 1.34.0
- 1.33.1
- 1.32.0
- 1.31.1
- 1.30.1
- 1.29.0
- 1.28.1
- 1.27.1
- 1.26.1
- 1.25.0
- 1.24.1
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- 1.19.1
- 1.18.3
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- 0.9.0
- 0.8.0
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- 0.5.1
- 0.4.0
- 0.3.1
ModelType(value)Enum values:
MODEL_TYPE_UNSPECIFIED (0):
Should not be set.
CLOUD (1):
A Model best tailored to be used within
Google Cloud, and which cannot be exported.
Default.
MOBILE_TF_LOW_LATENCY_1 (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 (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 (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.
Methods
ModelType
ModelType(value)Enum values:
MODEL_TYPE_UNSPECIFIED (0):
Should not be set.
CLOUD (1):
A Model best tailored to be used within
Google Cloud, and which cannot be exported.
Default.
MOBILE_TF_LOW_LATENCY_1 (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 (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 (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.
ModelType
ModelType(value)Enum values:
MODEL_TYPE_UNSPECIFIED (0):
Should not be set.
CLOUD (1):
A Model best tailored to be used within
Google Cloud, and which cannot be exported.
Default.
MOBILE_TF_LOW_LATENCY_1 (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 (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 (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.