# -*- 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)
