# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: google/cloud/automl_v1beta1/proto/prediction_service.proto
import sys
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
from google.api import annotations_pb2 as google_dot_api_dot_annotations__pb2
from google.api import client_pb2 as google_dot_api_dot_client__pb2
from google.cloud.automl_v1beta1.proto import (
annotation_payload_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_annotation__payload__pb2,
)
from google.cloud.automl_v1beta1.proto import (
data_items_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_data__items__pb2,
)
from google.cloud.automl_v1beta1.proto import (
io_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_io__pb2,
)
from google.cloud.automl_v1beta1.proto import (
operations_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_operations__pb2,
)
from google.longrunning import (
operations_pb2 as google_dot_longrunning_dot_operations__pb2,
)
DESCRIPTOR = _descriptor.FileDescriptor(
name="google/cloud/automl_v1beta1/proto/prediction_service.proto",
package="google.cloud.automl.v1beta1",
syntax="proto3",
serialized_options=_b(
"\n\037com.google.cloud.automl.v1beta1B\026PredictionServiceProtoP\001ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl\312\002\033Google\\Cloud\\AutoMl\\V1beta1\352\002\036Google::Cloud::AutoML::V1beta1"
),
serialized_pb=_b(
'\n:google/cloud/automl_v1beta1/proto/prediction_service.proto\x12\x1bgoogle.cloud.automl.v1beta1\x1a\x1cgoogle/api/annotations.proto\x1a\x17google/api/client.proto\x1a:google/cloud/automl_v1beta1/proto/annotation_payload.proto\x1a\x32google/cloud/automl_v1beta1/proto/data_items.proto\x1a*google/cloud/automl_v1beta1/proto/io.proto\x1a\x32google/cloud/automl_v1beta1/proto/operations.proto\x1a#google/longrunning/operations.proto"\xd4\x01\n\x0ePredictRequest\x12\x0c\n\x04name\x18\x01 \x01(\t\x12<\n\x07payload\x18\x02 \x01(\x0b\x32+.google.cloud.automl.v1beta1.ExamplePayload\x12G\n\x06params\x18\x03 \x03(\x0b\x32\x37.google.cloud.automl.v1beta1.PredictRequest.ParamsEntry\x1a-\n\x0bParamsEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t:\x02\x38\x01"\x9a\x02\n\x0fPredictResponse\x12?\n\x07payload\x18\x01 \x03(\x0b\x32..google.cloud.automl.v1beta1.AnnotationPayload\x12G\n\x12preprocessed_input\x18\x03 \x01(\x0b\x32+.google.cloud.automl.v1beta1.ExamplePayload\x12L\n\x08metadata\x18\x02 \x03(\x0b\x32:.google.cloud.automl.v1beta1.PredictResponse.MetadataEntry\x1a/\n\rMetadataEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t:\x02\x38\x01"\xba\x02\n\x13\x42\x61tchPredictRequest\x12\x0c\n\x04name\x18\x01 \x01(\t\x12J\n\x0cinput_config\x18\x03 \x01(\x0b\x32\x34.google.cloud.automl.v1beta1.BatchPredictInputConfig\x12L\n\routput_config\x18\x04 \x01(\x0b\x32\x35.google.cloud.automl.v1beta1.BatchPredictOutputConfig\x12L\n\x06params\x18\x05 \x03(\x0b\x32<.google.cloud.automl.v1beta1.BatchPredictRequest.ParamsEntry\x1a-\n\x0bParamsEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t:\x02\x38\x01"\x96\x01\n\x12\x42\x61tchPredictResult\x12O\n\x08metadata\x18\x01 \x03(\x0b\x32=.google.cloud.automl.v1beta1.BatchPredictResult.MetadataEntry\x1a/\n\rMetadataEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t:\x02\x38\x01\x32\xb4\x03\n\x11PredictionService\x12\xa8\x01\n\x07Predict\x12+.google.cloud.automl.v1beta1.PredictRequest\x1a,.google.cloud.automl.v1beta1.PredictResponse"B\x82\xd3\xe4\x93\x02<"7/v1beta1/{name=projects/*/locations/*/models/*}:predict:\x01*\x12\xa8\x01\n\x0c\x42\x61tchPredict\x12\x30.google.cloud.automl.v1beta1.BatchPredictRequest\x1a\x1d.google.longrunning.Operation"G\x82\xd3\xe4\x93\x02\x41"</v1beta1/{name=projects/*/locations/*/models/*}:batchPredict:\x01*\x1aI\xca\x41\x15\x61utoml.googleapis.com\xd2\x41.https://www.googleapis.com/auth/cloud-platformB\xbd\x01\n\x1f\x63om.google.cloud.automl.v1beta1B\x16PredictionServiceProtoP\x01ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl\xca\x02\x1bGoogle\\Cloud\\AutoMl\\V1beta1\xea\x02\x1eGoogle::Cloud::AutoML::V1beta1b\x06proto3'
),
dependencies=[
google_dot_api_dot_annotations__pb2.DESCRIPTOR,
google_dot_api_dot_client__pb2.DESCRIPTOR,
google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_annotation__payload__pb2.DESCRIPTOR,
google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_data__items__pb2.DESCRIPTOR,
google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_io__pb2.DESCRIPTOR,
google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_operations__pb2.DESCRIPTOR,
google_dot_longrunning_dot_operations__pb2.DESCRIPTOR,
],
)
_PREDICTREQUEST_PARAMSENTRY = _descriptor.Descriptor(
name="ParamsEntry",
full_name="google.cloud.automl.v1beta1.PredictRequest.ParamsEntry",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="key",
full_name="google.cloud.automl.v1beta1.PredictRequest.ParamsEntry.key",
index=0,
number=1,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="value",
full_name="google.cloud.automl.v1beta1.PredictRequest.ParamsEntry.value",
index=1,
number=2,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=_b("8\001"),
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=559,
serialized_end=604,
)
_PREDICTREQUEST = _descriptor.Descriptor(
name="PredictRequest",
full_name="google.cloud.automl.v1beta1.PredictRequest",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="name",
full_name="google.cloud.automl.v1beta1.PredictRequest.name",
index=0,
number=1,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="payload",
full_name="google.cloud.automl.v1beta1.PredictRequest.payload",
index=1,
number=2,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="params",
full_name="google.cloud.automl.v1beta1.PredictRequest.params",
index=2,
number=3,
type=11,
cpp_type=10,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
],
extensions=[],
nested_types=[_PREDICTREQUEST_PARAMSENTRY],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=392,
serialized_end=604,
)
_PREDICTRESPONSE_METADATAENTRY = _descriptor.Descriptor(
name="MetadataEntry",
full_name="google.cloud.automl.v1beta1.PredictResponse.MetadataEntry",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="key",
full_name="google.cloud.automl.v1beta1.PredictResponse.MetadataEntry.key",
index=0,
number=1,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="value",
full_name="google.cloud.automl.v1beta1.PredictResponse.MetadataEntry.value",
index=1,
number=2,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=_b("8\001"),
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=842,
serialized_end=889,
)
_PREDICTRESPONSE = _descriptor.Descriptor(
name="PredictResponse",
full_name="google.cloud.automl.v1beta1.PredictResponse",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="payload",
full_name="google.cloud.automl.v1beta1.PredictResponse.payload",
index=0,
number=1,
type=11,
cpp_type=10,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="preprocessed_input",
full_name="google.cloud.automl.v1beta1.PredictResponse.preprocessed_input",
index=1,
number=3,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="metadata",
full_name="google.cloud.automl.v1beta1.PredictResponse.metadata",
index=2,
number=2,
type=11,
cpp_type=10,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
],
extensions=[],
nested_types=[_PREDICTRESPONSE_METADATAENTRY],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=607,
serialized_end=889,
)
_BATCHPREDICTREQUEST_PARAMSENTRY = _descriptor.Descriptor(
name="ParamsEntry",
full_name="google.cloud.automl.v1beta1.BatchPredictRequest.ParamsEntry",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="key",
full_name="google.cloud.automl.v1beta1.BatchPredictRequest.ParamsEntry.key",
index=0,
number=1,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="value",
full_name="google.cloud.automl.v1beta1.BatchPredictRequest.ParamsEntry.value",
index=1,
number=2,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=_b("8\001"),
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=559,
serialized_end=604,
)
_BATCHPREDICTREQUEST = _descriptor.Descriptor(
name="BatchPredictRequest",
full_name="google.cloud.automl.v1beta1.BatchPredictRequest",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="name",
full_name="google.cloud.automl.v1beta1.BatchPredictRequest.name",
index=0,
number=1,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="input_config",
full_name="google.cloud.automl.v1beta1.BatchPredictRequest.input_config",
index=1,
number=3,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="output_config",
full_name="google.cloud.automl.v1beta1.BatchPredictRequest.output_config",
index=2,
number=4,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="params",
full_name="google.cloud.automl.v1beta1.BatchPredictRequest.params",
index=3,
number=5,
type=11,
cpp_type=10,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
],
extensions=[],
nested_types=[_BATCHPREDICTREQUEST_PARAMSENTRY],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=892,
serialized_end=1206,
)
_BATCHPREDICTRESULT_METADATAENTRY = _descriptor.Descriptor(
name="MetadataEntry",
full_name="google.cloud.automl.v1beta1.BatchPredictResult.MetadataEntry",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="key",
full_name="google.cloud.automl.v1beta1.BatchPredictResult.MetadataEntry.key",
index=0,
number=1,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
_descriptor.FieldDescriptor(
name="value",
full_name="google.cloud.automl.v1beta1.BatchPredictResult.MetadataEntry.value",
index=1,
number=2,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=_b("8\001"),
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=842,
serialized_end=889,
)
_BATCHPREDICTRESULT = _descriptor.Descriptor(
name="BatchPredictResult",
full_name="google.cloud.automl.v1beta1.BatchPredictResult",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="metadata",
full_name="google.cloud.automl.v1beta1.BatchPredictResult.metadata",
index=0,
number=1,
type=11,
cpp_type=10,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
)
],
extensions=[],
nested_types=[_BATCHPREDICTRESULT_METADATAENTRY],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=1209,
serialized_end=1359,
)
_PREDICTREQUEST_PARAMSENTRY.containing_type = _PREDICTREQUEST
_PREDICTREQUEST.fields_by_name[
"payload"
].message_type = (
google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_data__items__pb2._EXAMPLEPAYLOAD
)
_PREDICTREQUEST.fields_by_name["params"].message_type = _PREDICTREQUEST_PARAMSENTRY
_PREDICTRESPONSE_METADATAENTRY.containing_type = _PREDICTRESPONSE
_PREDICTRESPONSE.fields_by_name[
"payload"
].message_type = (
google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_annotation__payload__pb2._ANNOTATIONPAYLOAD
)
_PREDICTRESPONSE.fields_by_name[
"preprocessed_input"
].message_type = (
google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_data__items__pb2._EXAMPLEPAYLOAD
)
_PREDICTRESPONSE.fields_by_name[
"metadata"
].message_type = _PREDICTRESPONSE_METADATAENTRY
_BATCHPREDICTREQUEST_PARAMSENTRY.containing_type = _BATCHPREDICTREQUEST
_BATCHPREDICTREQUEST.fields_by_name[
"input_config"
].message_type = (
google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_io__pb2._BATCHPREDICTINPUTCONFIG
)
_BATCHPREDICTREQUEST.fields_by_name[
"output_config"
].message_type = (
google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_io__pb2._BATCHPREDICTOUTPUTCONFIG
)
_BATCHPREDICTREQUEST.fields_by_name[
"params"
].message_type = _BATCHPREDICTREQUEST_PARAMSENTRY
_BATCHPREDICTRESULT_METADATAENTRY.containing_type = _BATCHPREDICTRESULT
_BATCHPREDICTRESULT.fields_by_name[
"metadata"
].message_type = _BATCHPREDICTRESULT_METADATAENTRY
DESCRIPTOR.message_types_by_name["PredictRequest"] = _PREDICTREQUEST
DESCRIPTOR.message_types_by_name["PredictResponse"] = _PREDICTRESPONSE
DESCRIPTOR.message_types_by_name["BatchPredictRequest"] = _BATCHPREDICTREQUEST
DESCRIPTOR.message_types_by_name["BatchPredictResult"] = _BATCHPREDICTRESULT
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
PredictRequest = _reflection.GeneratedProtocolMessageType(
"PredictRequest",
(_message.Message,),
dict(
ParamsEntry=_reflection.GeneratedProtocolMessageType(
"ParamsEntry",
(_message.Message,),
dict(
DESCRIPTOR=_PREDICTREQUEST_PARAMSENTRY,
__module__="google.cloud.automl_v1beta1.proto.prediction_service_pb2"
# @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.PredictRequest.ParamsEntry)
),
),
DESCRIPTOR=_PREDICTREQUEST,
__module__="google.cloud.automl_v1beta1.proto.prediction_service_pb2",
__doc__="""Request message for
[PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].
Attributes:
name:
Name of the model requested to serve the prediction.
payload:
Required. Payload to perform a prediction on. The payload must
match the problem type that the model was trained to solve.
params:
Additional domain-specific parameters, any string must be up
to 25000 characters long. - For Image Classification:
``score_threshold`` - (float) A value from 0.0 to 1.0. When
the model makes predictions for an image, it will only produce
results that have at least this confidence score. The default
is 0.5. - For Image Object Detection: ``score_threshold`` -
(float) When Model detects objects on the image, it will
only produce bounding boxes which have at least this
confidence score. Value in 0 to 1 range, default is 0.5.
``max_bounding_box_count`` - (int64) No more than this
number of bounding boxes will be returned in the response.
Default is 100, the requested value may be limited by server.
- For Tables: ``feature_importance`` - (boolean) Whether [fe
ature\_importance][[google.cloud.automl.v1beta1.TablesModelCol
umnInfo.feature\_importance] should be populated in the
returned [TablesAnnotation(-s)][[google.cloud.automl.v1beta1.
TablesAnnotation]. The default is false.
""",
# @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.PredictRequest)
),
)
_sym_db.RegisterMessage(PredictRequest)
_sym_db.RegisterMessage(PredictRequest.ParamsEntry)
PredictResponse = _reflection.GeneratedProtocolMessageType(
"PredictResponse",
(_message.Message,),
dict(
MetadataEntry=_reflection.GeneratedProtocolMessageType(
"MetadataEntry",
(_message.Message,),
dict(
DESCRIPTOR=_PREDICTRESPONSE_METADATAENTRY,
__module__="google.cloud.automl_v1beta1.proto.prediction_service_pb2"
# @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.PredictResponse.MetadataEntry)
),
),
DESCRIPTOR=_PREDICTRESPONSE,
__module__="google.cloud.automl_v1beta1.proto.prediction_service_pb2",
__doc__="""Response message for
[PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].
Attributes:
payload:
Prediction result. Translation and Text Sentiment will return
precisely one payload.
preprocessed_input:
The preprocessed example that AutoML actually makes prediction
on. Empty if AutoML does not preprocess the input example. \*
For Text Extraction: If the input is a .pdf file, the OCR'ed
text will be provided in [document\_text][google.cloud.automl.
v1beta1.Document.document\_text].
metadata:
Additional domain-specific prediction response metadata. -
For Image Object Detection: ``max_bounding_box_count`` -
(int64) At most that many bounding boxes per image could
have been returned. - For Text Sentiment:
``sentiment_score`` - (float, deprecated) A value between
-1 and 1, -1 maps to least positive sentiment, while 1 maps
to the most positive one and the higher the score, the more
positive the sentiment in the document is. Yet these values
are relative to the training data, so e.g. if all data was
positive then -1 will be also positive (though the least).
The sentiment\_score shouldn't be confused with "score" or
"magnitude" from the previous Natural Language Sentiment
Analysis API.
""",
# @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.PredictResponse)
),
)
_sym_db.RegisterMessage(PredictResponse)
_sym_db.RegisterMessage(PredictResponse.MetadataEntry)
BatchPredictRequest = _reflection.GeneratedProtocolMessageType(
"BatchPredictRequest",
(_message.Message,),
dict(
ParamsEntry=_reflection.GeneratedProtocolMessageType(
"ParamsEntry",
(_message.Message,),
dict(
DESCRIPTOR=_BATCHPREDICTREQUEST_PARAMSENTRY,
__module__="google.cloud.automl_v1beta1.proto.prediction_service_pb2"
# @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.BatchPredictRequest.ParamsEntry)
),
),
DESCRIPTOR=_BATCHPREDICTREQUEST,
__module__="google.cloud.automl_v1beta1.proto.prediction_service_pb2",
__doc__="""Request message for
[PredictionService.BatchPredict][google.cloud.automl.v1beta1.PredictionService.BatchPredict].
Attributes:
name:
Name of the model requested to serve the batch prediction.
input_config:
Required. The input configuration for batch prediction.
output_config:
Required. The Configuration specifying where output
predictions should be written.
params:
Additional domain-specific parameters for the predictions, any
string must be up to 25000 characters long. - For Text
Classification: ``score_threshold`` - (float) A value from
0.0 to 1.0. When the model makes predictions for a text
snippet, it will only produce results that have at least this
confidence score. The default is 0.5. - For Image
Classification: ``score_threshold`` - (float) A value from
0.0 to 1.0. When the model makes predictions for an image, it
will only produce results that have at least this confidence
score. The default is 0.5. - For Image Object Detection:
``score_threshold`` - (float) When Model detects objects on
the image, it will only produce bounding boxes which have at
least this confidence score. Value in 0 to 1 range, default is
0.5. ``max_bounding_box_count`` - (int64) No more than this
number of bounding boxes will be produced per image. Default
is 100, the requested value may be limited by server. - For
Video Classification : ``score_threshold`` - (float) A value
from 0.0 to 1.0. When the model makes predictions for a
video, it will only produce results that have at least this
confidence score. The default is 0.5.
``segment_classification`` - (boolean) Set to true to
request segment-level classification. AutoML Video
Intelligence returns labels and their confidence scores for
the entire segment of the video that user specified in the
request configuration. The default is "true".
``shot_classification`` - (boolean) Set to true to request
shot-level classification. AutoML Video Intelligence
determines the boundaries for each camera shot in the entire
segment of the video that user specified in the request
configuration. AutoML Video Intelligence then returns
labels and their confidence scores for each detected shot,
along with the start and end time of the shot. WARNING:
Model evaluation is not done for this classification type,
the quality of it depends on training data, but there are no
metrics provided to describe that quality. The default is
"false". ``1s_interval_classification`` - (boolean) Set to
true to request classification for a video at one-second
intervals. AutoML Video Intelligence returns labels and
their confidence scores for each second of the entire
segment of the video that user specified in the request
configuration. WARNING: Model evaluation is not done for this
classification type, the quality of it depends on training
data, but there are no metrics provided to describe that
quality. The default is "false". - For Video Object
Tracking: ``score_threshold`` - (float) When Model detects
objects on video frames, it will only produce bounding boxes
which have at least this confidence score. Value in 0 to 1
range, default is 0.5. ``max_bounding_box_count`` - (int64)
No more than this number of bounding boxes will be returned
per frame. Default is 100, the requested value may be
limited by server. ``min_bounding_box_size`` - (float) Only
bounding boxes with shortest edge at least that long as a
relative value of video frame size will be returned. Value
in 0 to 1 range. Default is 0.
""",
# @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.BatchPredictRequest)
),
)
_sym_db.RegisterMessage(BatchPredictRequest)
_sym_db.RegisterMessage(BatchPredictRequest.ParamsEntry)
BatchPredictResult = _reflection.GeneratedProtocolMessageType(
"BatchPredictResult",
(_message.Message,),
dict(
MetadataEntry=_reflection.GeneratedProtocolMessageType(
"MetadataEntry",
(_message.Message,),
dict(
DESCRIPTOR=_BATCHPREDICTRESULT_METADATAENTRY,
__module__="google.cloud.automl_v1beta1.proto.prediction_service_pb2"
# @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.BatchPredictResult.MetadataEntry)
),
),
DESCRIPTOR=_BATCHPREDICTRESULT,
__module__="google.cloud.automl_v1beta1.proto.prediction_service_pb2",
__doc__="""Result of the Batch Predict. This message is returned in
[response][google.longrunning.Operation.response] of the operation
returned by the
[PredictionService.BatchPredict][google.cloud.automl.v1beta1.PredictionService.BatchPredict].
Attributes:
metadata:
Additional domain-specific prediction response metadata. -
For Image Object Detection: ``max_bounding_box_count`` -
(int64) At most that many bounding boxes per image could
have been returned. - For Video Object Tracking:
``max_bounding_box_count`` - (int64) At most that many
bounding boxes per frame could have been returned.
""",
# @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.BatchPredictResult)
),
)
_sym_db.RegisterMessage(BatchPredictResult)
_sym_db.RegisterMessage(BatchPredictResult.MetadataEntry)
DESCRIPTOR._options = None
_PREDICTREQUEST_PARAMSENTRY._options = None
_PREDICTRESPONSE_METADATAENTRY._options = None
_BATCHPREDICTREQUEST_PARAMSENTRY._options = None
_BATCHPREDICTRESULT_METADATAENTRY._options = None
_PREDICTIONSERVICE = _descriptor.ServiceDescriptor(
name="PredictionService",
full_name="google.cloud.automl.v1beta1.PredictionService",
file=DESCRIPTOR,
index=0,
serialized_options=_b(
"\312A\025automl.googleapis.com\322A.https://www.googleapis.com/auth/cloud-platform"
),
serialized_start=1362,
serialized_end=1798,
methods=[
_descriptor.MethodDescriptor(
name="Predict",
full_name="google.cloud.automl.v1beta1.PredictionService.Predict",
index=0,
containing_service=None,
input_type=_PREDICTREQUEST,
output_type=_PREDICTRESPONSE,
serialized_options=_b(
'\202\323\344\223\002<"7/v1beta1/{name=projects/*/locations/*/models/*}:predict:\001*'
),
),
_descriptor.MethodDescriptor(
name="BatchPredict",
full_name="google.cloud.automl.v1beta1.PredictionService.BatchPredict",
index=1,
containing_service=None,
input_type=_BATCHPREDICTREQUEST,
output_type=google_dot_longrunning_dot_operations__pb2._OPERATION,
serialized_options=_b(
'\202\323\344\223\002A"</v1beta1/{name=projects/*/locations/*/models/*}:batchPredict:\001*'
),
),
],
)
_sym_db.RegisterServiceDescriptor(_PREDICTIONSERVICE)
DESCRIPTOR.services_by_name["PredictionService"] = _PREDICTIONSERVICE
# @@protoc_insertion_point(module_scope)