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PROTO library for proto-google-cloud-automl-v1beta1
/*
* Copyright 2024 Google LLC
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* https://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: google/cloud/automl/v1beta1/prediction_service.proto
// Protobuf Java Version: 3.25.5
package com.google.cloud.automl.v1beta1;
/**
*
*
*
* Request message for [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].
*
*
* Protobuf type {@code google.cloud.automl.v1beta1.PredictRequest}
*/
public final class PredictRequest extends com.google.protobuf.GeneratedMessageV3
implements
// @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.PredictRequest)
PredictRequestOrBuilder {
private static final long serialVersionUID = 0L;
// Use PredictRequest.newBuilder() to construct.
private PredictRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private PredictRequest() {
name_ = "";
}
@java.lang.Override
@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
return new PredictRequest();
}
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
return com.google.cloud.automl.v1beta1.PredictionServiceProto
.internal_static_google_cloud_automl_v1beta1_PredictRequest_descriptor;
}
@SuppressWarnings({"rawtypes"})
@java.lang.Override
protected com.google.protobuf.MapFieldReflectionAccessor internalGetMapFieldReflection(
int number) {
switch (number) {
case 3:
return internalGetParams();
default:
throw new RuntimeException("Invalid map field number: " + number);
}
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return com.google.cloud.automl.v1beta1.PredictionServiceProto
.internal_static_google_cloud_automl_v1beta1_PredictRequest_fieldAccessorTable
.ensureFieldAccessorsInitialized(
com.google.cloud.automl.v1beta1.PredictRequest.class,
com.google.cloud.automl.v1beta1.PredictRequest.Builder.class);
}
private int bitField0_;
public static final int NAME_FIELD_NUMBER = 1;
@SuppressWarnings("serial")
private volatile java.lang.Object name_ = "";
/**
*
*
*
* Required. Name of the model requested to serve the prediction.
*
*
*
* string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
*
*
* @return The name.
*/
@java.lang.Override
public java.lang.String getName() {
java.lang.Object ref = name_;
if (ref instanceof java.lang.String) {
return (java.lang.String) ref;
} else {
com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
name_ = s;
return s;
}
}
/**
*
*
*
* Required. Name of the model requested to serve the prediction.
*
*
*
* string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
*
*
* @return The bytes for name.
*/
@java.lang.Override
public com.google.protobuf.ByteString getNameBytes() {
java.lang.Object ref = name_;
if (ref instanceof java.lang.String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
name_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
public static final int PAYLOAD_FIELD_NUMBER = 2;
private com.google.cloud.automl.v1beta1.ExamplePayload payload_;
/**
*
*
*
* Required. Payload to perform a prediction on. The payload must match the
* problem type that the model was trained to solve.
*
*
*
* .google.cloud.automl.v1beta1.ExamplePayload payload = 2 [(.google.api.field_behavior) = REQUIRED];
*
*
* @return Whether the payload field is set.
*/
@java.lang.Override
public boolean hasPayload() {
return ((bitField0_ & 0x00000001) != 0);
}
/**
*
*
*
* Required. Payload to perform a prediction on. The payload must match the
* problem type that the model was trained to solve.
*
*
*
* .google.cloud.automl.v1beta1.ExamplePayload payload = 2 [(.google.api.field_behavior) = REQUIRED];
*
*
* @return The payload.
*/
@java.lang.Override
public com.google.cloud.automl.v1beta1.ExamplePayload getPayload() {
return payload_ == null
? com.google.cloud.automl.v1beta1.ExamplePayload.getDefaultInstance()
: payload_;
}
/**
*
*
*
* Required. Payload to perform a prediction on. The payload must match the
* problem type that the model was trained to solve.
*
*
*
* .google.cloud.automl.v1beta1.ExamplePayload payload = 2 [(.google.api.field_behavior) = REQUIRED];
*
*/
@java.lang.Override
public com.google.cloud.automl.v1beta1.ExamplePayloadOrBuilder getPayloadOrBuilder() {
return payload_ == null
? com.google.cloud.automl.v1beta1.ExamplePayload.getDefaultInstance()
: payload_;
}
public static final int PARAMS_FIELD_NUMBER = 3;
private static final class ParamsDefaultEntryHolder {
static final com.google.protobuf.MapEntry defaultEntry =
com.google.protobuf.MapEntry.newDefaultInstance(
com.google.cloud.automl.v1beta1.PredictionServiceProto
.internal_static_google_cloud_automl_v1beta1_PredictRequest_ParamsEntry_descriptor,
com.google.protobuf.WireFormat.FieldType.STRING,
"",
com.google.protobuf.WireFormat.FieldType.STRING,
"");
}
@SuppressWarnings("serial")
private com.google.protobuf.MapField params_;
private com.google.protobuf.MapField internalGetParams() {
if (params_ == null) {
return com.google.protobuf.MapField.emptyMapField(ParamsDefaultEntryHolder.defaultEntry);
}
return params_;
}
public int getParamsCount() {
return internalGetParams().getMap().size();
}
/**
*
*
*
* 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_imp<span>ortan</span>ce - (boolean) Whether feature importance
* should be populated in the returned TablesAnnotation.
* The default is false.
*
*
* map<string, string> params = 3;
*/
@java.lang.Override
public boolean containsParams(java.lang.String key) {
if (key == null) {
throw new NullPointerException("map key");
}
return internalGetParams().getMap().containsKey(key);
}
/** Use {@link #getParamsMap()} instead. */
@java.lang.Override
@java.lang.Deprecated
public java.util.Map getParams() {
return getParamsMap();
}
/**
*
*
*
* 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_imp<span>ortan</span>ce - (boolean) Whether feature importance
* should be populated in the returned TablesAnnotation.
* The default is false.
*
*
* map<string, string> params = 3;
*/
@java.lang.Override
public java.util.Map getParamsMap() {
return internalGetParams().getMap();
}
/**
*
*
*
* 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_imp<span>ortan</span>ce - (boolean) Whether feature importance
* should be populated in the returned TablesAnnotation.
* The default is false.
*
*
* map<string, string> params = 3;
*/
@java.lang.Override
public /* nullable */ java.lang.String getParamsOrDefault(
java.lang.String key,
/* nullable */
java.lang.String defaultValue) {
if (key == null) {
throw new NullPointerException("map key");
}
java.util.Map map = internalGetParams().getMap();
return map.containsKey(key) ? map.get(key) : defaultValue;
}
/**
*
*
*
* 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_imp<span>ortan</span>ce - (boolean) Whether feature importance
* should be populated in the returned TablesAnnotation.
* The default is false.
*
*
* map<string, string> params = 3;
*/
@java.lang.Override
public java.lang.String getParamsOrThrow(java.lang.String key) {
if (key == null) {
throw new NullPointerException("map key");
}
java.util.Map map = internalGetParams().getMap();
if (!map.containsKey(key)) {
throw new java.lang.IllegalArgumentException();
}
return map.get(key);
}
private byte memoizedIsInitialized = -1;
@java.lang.Override
public final boolean isInitialized() {
byte isInitialized = memoizedIsInitialized;
if (isInitialized == 1) return true;
if (isInitialized == 0) return false;
memoizedIsInitialized = 1;
return true;
}
@java.lang.Override
public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(name_)) {
com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
}
if (((bitField0_ & 0x00000001) != 0)) {
output.writeMessage(2, getPayload());
}
com.google.protobuf.GeneratedMessageV3.serializeStringMapTo(
output, internalGetParams(), ParamsDefaultEntryHolder.defaultEntry, 3);
getUnknownFields().writeTo(output);
}
@java.lang.Override
public int getSerializedSize() {
int size = memoizedSize;
if (size != -1) return size;
size = 0;
if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(name_)) {
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if (((bitField0_ & 0x00000001) != 0)) {
size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getPayload());
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for (java.util.Map.Entry entry :
internalGetParams().getMap().entrySet()) {
com.google.protobuf.MapEntry params__ =
ParamsDefaultEntryHolder.defaultEntry
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.setValue(entry.getValue())
.build();
size += com.google.protobuf.CodedOutputStream.computeMessageSize(3, params__);
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size += getUnknownFields().getSerializedSize();
memoizedSize = size;
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@java.lang.Override
public boolean equals(final java.lang.Object obj) {
if (obj == this) {
return true;
}
if (!(obj instanceof com.google.cloud.automl.v1beta1.PredictRequest)) {
return super.equals(obj);
}
com.google.cloud.automl.v1beta1.PredictRequest other =
(com.google.cloud.automl.v1beta1.PredictRequest) obj;
if (!getName().equals(other.getName())) return false;
if (hasPayload() != other.hasPayload()) return false;
if (hasPayload()) {
if (!getPayload().equals(other.getPayload())) return false;
}
if (!internalGetParams().equals(other.internalGetParams())) return false;
if (!getUnknownFields().equals(other.getUnknownFields())) return false;
return true;
}
@java.lang.Override
public int hashCode() {
if (memoizedHashCode != 0) {
return memoizedHashCode;
}
int hash = 41;
hash = (19 * hash) + getDescriptor().hashCode();
hash = (37 * hash) + NAME_FIELD_NUMBER;
hash = (53 * hash) + getName().hashCode();
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hash = (37 * hash) + PAYLOAD_FIELD_NUMBER;
hash = (53 * hash) + getPayload().hashCode();
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hash = (53 * hash) + internalGetParams().hashCode();
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public static com.google.cloud.automl.v1beta1.PredictRequest parseFrom(java.nio.ByteBuffer data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.automl.v1beta1.PredictRequest parseFrom(
java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.cloud.automl.v1beta1.PredictRequest parseFrom(
com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.automl.v1beta1.PredictRequest parseFrom(
com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.cloud.automl.v1beta1.PredictRequest parseFrom(byte[] data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.automl.v1beta1.PredictRequest parseFrom(
byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.cloud.automl.v1beta1.PredictRequest parseFrom(java.io.InputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
}
public static com.google.cloud.automl.v1beta1.PredictRequest parseFrom(
java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
PARSER, input, extensionRegistry);
}
public static com.google.cloud.automl.v1beta1.PredictRequest parseDelimitedFrom(
java.io.InputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
}
public static com.google.cloud.automl.v1beta1.PredictRequest parseDelimitedFrom(
java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
PARSER, input, extensionRegistry);
}
public static com.google.cloud.automl.v1beta1.PredictRequest parseFrom(
com.google.protobuf.CodedInputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
}
public static com.google.cloud.automl.v1beta1.PredictRequest parseFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
PARSER, input, extensionRegistry);
}
@java.lang.Override
public Builder newBuilderForType() {
return newBuilder();
}
public static Builder newBuilder() {
return DEFAULT_INSTANCE.toBuilder();
}
public static Builder newBuilder(com.google.cloud.automl.v1beta1.PredictRequest prototype) {
return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
}
@java.lang.Override
public Builder toBuilder() {
return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
}
@java.lang.Override
protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
Builder builder = new Builder(parent);
return builder;
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/**
*
*
*
* Request message for [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].
*
*
* Protobuf type {@code google.cloud.automl.v1beta1.PredictRequest}
*/
public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
implements
// @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.PredictRequest)
com.google.cloud.automl.v1beta1.PredictRequestOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
return com.google.cloud.automl.v1beta1.PredictionServiceProto
.internal_static_google_cloud_automl_v1beta1_PredictRequest_descriptor;
}
@SuppressWarnings({"rawtypes"})
protected com.google.protobuf.MapFieldReflectionAccessor internalGetMapFieldReflection(
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switch (number) {
case 3:
return internalGetParams();
default:
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@SuppressWarnings({"rawtypes"})
protected com.google.protobuf.MapFieldReflectionAccessor internalGetMutableMapFieldReflection(
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switch (number) {
case 3:
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com.google.cloud.automl.v1beta1.PredictRequest.class,
com.google.cloud.automl.v1beta1.PredictRequest.Builder.class);
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maybeForceBuilderInitialization();
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private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
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maybeForceBuilderInitialization();
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private void maybeForceBuilderInitialization() {
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internalGetMutableParams().clear();
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@java.lang.Override
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
return com.google.cloud.automl.v1beta1.PredictionServiceProto
.internal_static_google_cloud_automl_v1beta1_PredictRequest_descriptor;
}
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buildPartial0(result);
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onBuilt();
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this.mergeUnknownFields(other.getUnknownFields());
onChanged();
return this;
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com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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private int bitField0_;
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/**
*
*
*
* Required. Name of the model requested to serve the prediction.
*
*
*
* string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
*
*
* @return The name.
*/
public java.lang.String getName() {
java.lang.Object ref = name_;
if (!(ref instanceof java.lang.String)) {
com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
name_ = s;
return s;
} else {
return (java.lang.String) ref;
}
}
/**
*
*
*
* Required. Name of the model requested to serve the prediction.
*
*
*
* string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
*
*
* @return The bytes for name.
*/
public com.google.protobuf.ByteString getNameBytes() {
java.lang.Object ref = name_;
if (ref instanceof String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
name_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
/**
*
*
*
* Required. Name of the model requested to serve the prediction.
*
*
*
* string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
*
*
* @param value The name to set.
* @return This builder for chaining.
*/
public Builder setName(java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
name_ = value;
bitField0_ |= 0x00000001;
onChanged();
return this;
}
/**
*
*
*
* Required. Name of the model requested to serve the prediction.
*
*
*
* string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
*
*
* @return This builder for chaining.
*/
public Builder clearName() {
name_ = getDefaultInstance().getName();
bitField0_ = (bitField0_ & ~0x00000001);
onChanged();
return this;
}
/**
*
*
*
* Required. Name of the model requested to serve the prediction.
*
*
*
* string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
*
*
* @param value The bytes for name to set.
* @return This builder for chaining.
*/
public Builder setNameBytes(com.google.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
name_ = value;
bitField0_ |= 0x00000001;
onChanged();
return this;
}
private com.google.cloud.automl.v1beta1.ExamplePayload payload_;
private com.google.protobuf.SingleFieldBuilderV3<
com.google.cloud.automl.v1beta1.ExamplePayload,
com.google.cloud.automl.v1beta1.ExamplePayload.Builder,
com.google.cloud.automl.v1beta1.ExamplePayloadOrBuilder>
payloadBuilder_;
/**
*
*
*
* Required. Payload to perform a prediction on. The payload must match the
* problem type that the model was trained to solve.
*
*
*
* .google.cloud.automl.v1beta1.ExamplePayload payload = 2 [(.google.api.field_behavior) = REQUIRED];
*
*
* @return Whether the payload field is set.
*/
public boolean hasPayload() {
return ((bitField0_ & 0x00000002) != 0);
}
/**
*
*
*
* Required. Payload to perform a prediction on. The payload must match the
* problem type that the model was trained to solve.
*
*
*
* .google.cloud.automl.v1beta1.ExamplePayload payload = 2 [(.google.api.field_behavior) = REQUIRED];
*
*
* @return The payload.
*/
public com.google.cloud.automl.v1beta1.ExamplePayload getPayload() {
if (payloadBuilder_ == null) {
return payload_ == null
? com.google.cloud.automl.v1beta1.ExamplePayload.getDefaultInstance()
: payload_;
} else {
return payloadBuilder_.getMessage();
}
}
/**
*
*
*
* Required. Payload to perform a prediction on. The payload must match the
* problem type that the model was trained to solve.
*
*
*
* .google.cloud.automl.v1beta1.ExamplePayload payload = 2 [(.google.api.field_behavior) = REQUIRED];
*
*/
public Builder setPayload(com.google.cloud.automl.v1beta1.ExamplePayload value) {
if (payloadBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
payload_ = value;
} else {
payloadBuilder_.setMessage(value);
}
bitField0_ |= 0x00000002;
onChanged();
return this;
}
/**
*
*
*
* Required. Payload to perform a prediction on. The payload must match the
* problem type that the model was trained to solve.
*
*
*
* .google.cloud.automl.v1beta1.ExamplePayload payload = 2 [(.google.api.field_behavior) = REQUIRED];
*
*/
public Builder setPayload(
com.google.cloud.automl.v1beta1.ExamplePayload.Builder builderForValue) {
if (payloadBuilder_ == null) {
payload_ = builderForValue.build();
} else {
payloadBuilder_.setMessage(builderForValue.build());
}
bitField0_ |= 0x00000002;
onChanged();
return this;
}
/**
*
*
*
* Required. Payload to perform a prediction on. The payload must match the
* problem type that the model was trained to solve.
*
*
*
* .google.cloud.automl.v1beta1.ExamplePayload payload = 2 [(.google.api.field_behavior) = REQUIRED];
*
*/
public Builder mergePayload(com.google.cloud.automl.v1beta1.ExamplePayload value) {
if (payloadBuilder_ == null) {
if (((bitField0_ & 0x00000002) != 0)
&& payload_ != null
&& payload_ != com.google.cloud.automl.v1beta1.ExamplePayload.getDefaultInstance()) {
getPayloadBuilder().mergeFrom(value);
} else {
payload_ = value;
}
} else {
payloadBuilder_.mergeFrom(value);
}
if (payload_ != null) {
bitField0_ |= 0x00000002;
onChanged();
}
return this;
}
/**
*
*
*
* Required. Payload to perform a prediction on. The payload must match the
* problem type that the model was trained to solve.
*
*
*
* .google.cloud.automl.v1beta1.ExamplePayload payload = 2 [(.google.api.field_behavior) = REQUIRED];
*
*/
public Builder clearPayload() {
bitField0_ = (bitField0_ & ~0x00000002);
payload_ = null;
if (payloadBuilder_ != null) {
payloadBuilder_.dispose();
payloadBuilder_ = null;
}
onChanged();
return this;
}
/**
*
*
*
* Required. Payload to perform a prediction on. The payload must match the
* problem type that the model was trained to solve.
*
*
*
* .google.cloud.automl.v1beta1.ExamplePayload payload = 2 [(.google.api.field_behavior) = REQUIRED];
*
*/
public com.google.cloud.automl.v1beta1.ExamplePayload.Builder getPayloadBuilder() {
bitField0_ |= 0x00000002;
onChanged();
return getPayloadFieldBuilder().getBuilder();
}
/**
*
*
*
* Required. Payload to perform a prediction on. The payload must match the
* problem type that the model was trained to solve.
*
*
*
* .google.cloud.automl.v1beta1.ExamplePayload payload = 2 [(.google.api.field_behavior) = REQUIRED];
*
*/
public com.google.cloud.automl.v1beta1.ExamplePayloadOrBuilder getPayloadOrBuilder() {
if (payloadBuilder_ != null) {
return payloadBuilder_.getMessageOrBuilder();
} else {
return payload_ == null
? com.google.cloud.automl.v1beta1.ExamplePayload.getDefaultInstance()
: payload_;
}
}
/**
*
*
*
* Required. Payload to perform a prediction on. The payload must match the
* problem type that the model was trained to solve.
*
*
*
* .google.cloud.automl.v1beta1.ExamplePayload payload = 2 [(.google.api.field_behavior) = REQUIRED];
*
*/
private com.google.protobuf.SingleFieldBuilderV3<
com.google.cloud.automl.v1beta1.ExamplePayload,
com.google.cloud.automl.v1beta1.ExamplePayload.Builder,
com.google.cloud.automl.v1beta1.ExamplePayloadOrBuilder>
getPayloadFieldBuilder() {
if (payloadBuilder_ == null) {
payloadBuilder_ =
new com.google.protobuf.SingleFieldBuilderV3<
com.google.cloud.automl.v1beta1.ExamplePayload,
com.google.cloud.automl.v1beta1.ExamplePayload.Builder,
com.google.cloud.automl.v1beta1.ExamplePayloadOrBuilder>(
getPayload(), getParentForChildren(), isClean());
payload_ = null;
}
return payloadBuilder_;
}
private com.google.protobuf.MapField params_;
private com.google.protobuf.MapField internalGetParams() {
if (params_ == null) {
return com.google.protobuf.MapField.emptyMapField(ParamsDefaultEntryHolder.defaultEntry);
}
return params_;
}
private com.google.protobuf.MapField
internalGetMutableParams() {
if (params_ == null) {
params_ = com.google.protobuf.MapField.newMapField(ParamsDefaultEntryHolder.defaultEntry);
}
if (!params_.isMutable()) {
params_ = params_.copy();
}
bitField0_ |= 0x00000004;
onChanged();
return params_;
}
public int getParamsCount() {
return internalGetParams().getMap().size();
}
/**
*
*
*
* 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_imp<span>ortan</span>ce - (boolean) Whether feature importance
* should be populated in the returned TablesAnnotation.
* The default is false.
*
*
* map<string, string> params = 3;
*/
@java.lang.Override
public boolean containsParams(java.lang.String key) {
if (key == null) {
throw new NullPointerException("map key");
}
return internalGetParams().getMap().containsKey(key);
}
/** Use {@link #getParamsMap()} instead. */
@java.lang.Override
@java.lang.Deprecated
public java.util.Map getParams() {
return getParamsMap();
}
/**
*
*
*
* 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_imp<span>ortan</span>ce - (boolean) Whether feature importance
* should be populated in the returned TablesAnnotation.
* The default is false.
*
*
* map<string, string> params = 3;
*/
@java.lang.Override
public java.util.Map getParamsMap() {
return internalGetParams().getMap();
}
/**
*
*
*
* 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_imp<span>ortan</span>ce - (boolean) Whether feature importance
* should be populated in the returned TablesAnnotation.
* The default is false.
*
*
* map<string, string> params = 3;
*/
@java.lang.Override
public /* nullable */ java.lang.String getParamsOrDefault(
java.lang.String key,
/* nullable */
java.lang.String defaultValue) {
if (key == null) {
throw new NullPointerException("map key");
}
java.util.Map map = internalGetParams().getMap();
return map.containsKey(key) ? map.get(key) : defaultValue;
}
/**
*
*
*
* 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_imp<span>ortan</span>ce - (boolean) Whether feature importance
* should be populated in the returned TablesAnnotation.
* The default is false.
*
*
* map<string, string> params = 3;
*/
@java.lang.Override
public java.lang.String getParamsOrThrow(java.lang.String key) {
if (key == null) {
throw new NullPointerException("map key");
}
java.util.Map map = internalGetParams().getMap();
if (!map.containsKey(key)) {
throw new java.lang.IllegalArgumentException();
}
return map.get(key);
}
public Builder clearParams() {
bitField0_ = (bitField0_ & ~0x00000004);
internalGetMutableParams().getMutableMap().clear();
return this;
}
/**
*
*
*
* 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_imp<span>ortan</span>ce - (boolean) Whether feature importance
* should be populated in the returned TablesAnnotation.
* The default is false.
*
*
* map<string, string> params = 3;
*/
public Builder removeParams(java.lang.String key) {
if (key == null) {
throw new NullPointerException("map key");
}
internalGetMutableParams().getMutableMap().remove(key);
return this;
}
/** Use alternate mutation accessors instead. */
@java.lang.Deprecated
public java.util.Map getMutableParams() {
bitField0_ |= 0x00000004;
return internalGetMutableParams().getMutableMap();
}
/**
*
*
*
* 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_imp<span>ortan</span>ce - (boolean) Whether feature importance
* should be populated in the returned TablesAnnotation.
* The default is false.
*
*
* map<string, string> params = 3;
*/
public Builder putParams(java.lang.String key, java.lang.String value) {
if (key == null) {
throw new NullPointerException("map key");
}
if (value == null) {
throw new NullPointerException("map value");
}
internalGetMutableParams().getMutableMap().put(key, value);
bitField0_ |= 0x00000004;
return this;
}
/**
*
*
*
* 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_imp<span>ortan</span>ce - (boolean) Whether feature importance
* should be populated in the returned TablesAnnotation.
* The default is false.
*
*
* map<string, string> params = 3;
*/
public Builder putAllParams(java.util.Map values) {
internalGetMutableParams().getMutableMap().putAll(values);
bitField0_ |= 0x00000004;
return this;
}
@java.lang.Override
public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFields(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.PredictRequest)
}
// @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.PredictRequest)
private static final com.google.cloud.automl.v1beta1.PredictRequest DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.PredictRequest();
}
public static com.google.cloud.automl.v1beta1.PredictRequest getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser PARSER =
new com.google.protobuf.AbstractParser() {
@java.lang.Override
public PredictRequest parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
Builder builder = newBuilder();
try {
builder.mergeFrom(input, extensionRegistry);
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
throw e.setUnfinishedMessage(builder.buildPartial());
} catch (com.google.protobuf.UninitializedMessageException e) {
throw e.asInvalidProtocolBufferException().setUnfinishedMessage(builder.buildPartial());
} catch (java.io.IOException e) {
throw new com.google.protobuf.InvalidProtocolBufferException(e)
.setUnfinishedMessage(builder.buildPartial());
}
return builder.buildPartial();
}
};
public static com.google.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public com.google.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public com.google.cloud.automl.v1beta1.PredictRequest getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}