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ModelType(value)Enum values:
MODEL_TYPE_UNSPECIFIED (0):
Should not be set.
CLOUD_HIGH_ACCURACY_1 (1):
A model best tailored to be used within
Google Cloud, and which cannot be exported.
Expected to have a higher latency, but should
also have a higher prediction quality than other
cloud models.
CLOUD_LOW_LATENCY_1 (2):
A model best tailored to be used within
Google Cloud, and which cannot be exported.
Expected to have a low latency, but may have
lower prediction quality than other cloud
models.
MOBILE_TF_LOW_LATENCY_1 (3):
A model that, in addition to being available
within Google Cloud can also be exported (see
ModelService.ExportModel) and used on a mobile
or edge device with TensorFlow afterwards.
Expected to have low latency, but may have lower
prediction quality than other mobile models.
MOBILE_TF_VERSATILE_1 (4):
A model that, in addition to being available
within Google Cloud can also be exported (see
ModelService.ExportModel) and used on a mobile
or edge device with TensorFlow afterwards.
MOBILE_TF_HIGH_ACCURACY_1 (5):
A model that, in addition to being available
within Google Cloud, can also be exported (see
ModelService.ExportModel) and used on a mobile
or edge device with TensorFlow 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_HIGH_ACCURACY_1 (1):
A model best tailored to be used within
Google Cloud, and which cannot be exported.
Expected to have a higher latency, but should
also have a higher prediction quality than other
cloud models.
CLOUD_LOW_LATENCY_1 (2):
A model best tailored to be used within
Google Cloud, and which cannot be exported.
Expected to have a low latency, but may have
lower prediction quality than other cloud
models.
MOBILE_TF_LOW_LATENCY_1 (3):
A model that, in addition to being available
within Google Cloud can also be exported (see
ModelService.ExportModel) and used on a mobile
or edge device with TensorFlow afterwards.
Expected to have low latency, but may have lower
prediction quality than other mobile models.
MOBILE_TF_VERSATILE_1 (4):
A model that, in addition to being available
within Google Cloud can also be exported (see
ModelService.ExportModel) and used on a mobile
or edge device with TensorFlow afterwards.
MOBILE_TF_HIGH_ACCURACY_1 (5):
A model that, in addition to being available
within Google Cloud, can also be exported (see
ModelService.ExportModel) and used on a mobile
or edge device with TensorFlow 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_HIGH_ACCURACY_1 (1):
A model best tailored to be used within
Google Cloud, and which cannot be exported.
Expected to have a higher latency, but should
also have a higher prediction quality than other
cloud models.
CLOUD_LOW_LATENCY_1 (2):
A model best tailored to be used within
Google Cloud, and which cannot be exported.
Expected to have a low latency, but may have
lower prediction quality than other cloud
models.
MOBILE_TF_LOW_LATENCY_1 (3):
A model that, in addition to being available
within Google Cloud can also be exported (see
ModelService.ExportModel) and used on a mobile
or edge device with TensorFlow afterwards.
Expected to have low latency, but may have lower
prediction quality than other mobile models.
MOBILE_TF_VERSATILE_1 (4):
A model that, in addition to being available
within Google Cloud can also be exported (see
ModelService.ExportModel) and used on a mobile
or edge device with TensorFlow afterwards.
MOBILE_TF_HIGH_ACCURACY_1 (5):
A model that, in addition to being available
within Google Cloud, can also be exported (see
ModelService.ExportModel) and used on a mobile
or edge device with TensorFlow afterwards.
Expected to have a higher latency, but should
also have a higher prediction quality than other
mobile models.