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/*
* 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/dialogflow/cx/v3beta1/flow.proto
// Protobuf Java Version: 3.25.5
package com.google.cloud.dialogflow.cx.v3beta1;
/**
*
*
*
* Settings related to NLU.
*
*
* Protobuf type {@code google.cloud.dialogflow.cx.v3beta1.NluSettings}
*/
public final class NluSettings extends com.google.protobuf.GeneratedMessageV3
implements
// @@protoc_insertion_point(message_implements:google.cloud.dialogflow.cx.v3beta1.NluSettings)
NluSettingsOrBuilder {
private static final long serialVersionUID = 0L;
// Use NluSettings.newBuilder() to construct.
private NluSettings(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private NluSettings() {
modelType_ = 0;
modelTrainingMode_ = 0;
}
@java.lang.Override
@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
return new NluSettings();
}
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
return com.google.cloud.dialogflow.cx.v3beta1.FlowProto
.internal_static_google_cloud_dialogflow_cx_v3beta1_NluSettings_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return com.google.cloud.dialogflow.cx.v3beta1.FlowProto
.internal_static_google_cloud_dialogflow_cx_v3beta1_NluSettings_fieldAccessorTable
.ensureFieldAccessorsInitialized(
com.google.cloud.dialogflow.cx.v3beta1.NluSettings.class,
com.google.cloud.dialogflow.cx.v3beta1.NluSettings.Builder.class);
}
/**
*
*
*
* NLU model type.
*
*
* Protobuf enum {@code google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelType}
*/
public enum ModelType implements com.google.protobuf.ProtocolMessageEnum {
/**
*
*
*
* Not specified. `MODEL_TYPE_STANDARD` will be used.
*
*
* MODEL_TYPE_UNSPECIFIED = 0;
*/
MODEL_TYPE_UNSPECIFIED(0),
/**
*
*
*
* Use standard NLU model.
*
*
* MODEL_TYPE_STANDARD = 1;
*/
MODEL_TYPE_STANDARD(1),
/**
*
*
*
* Use advanced NLU model.
*
*
* MODEL_TYPE_ADVANCED = 3;
*/
MODEL_TYPE_ADVANCED(3),
UNRECOGNIZED(-1),
;
/**
*
*
*
* Not specified. `MODEL_TYPE_STANDARD` will be used.
*
*
* MODEL_TYPE_UNSPECIFIED = 0;
*/
public static final int MODEL_TYPE_UNSPECIFIED_VALUE = 0;
/**
*
*
*
* Use standard NLU model.
*
*
* MODEL_TYPE_STANDARD = 1;
*/
public static final int MODEL_TYPE_STANDARD_VALUE = 1;
/**
*
*
*
* Use advanced NLU model.
*
*
* MODEL_TYPE_ADVANCED = 3;
*/
public static final int MODEL_TYPE_ADVANCED_VALUE = 3;
public final int getNumber() {
if (this == UNRECOGNIZED) {
throw new java.lang.IllegalArgumentException(
"Can't get the number of an unknown enum value.");
}
return value;
}
/**
* @param value The numeric wire value of the corresponding enum entry.
* @return The enum associated with the given numeric wire value.
* @deprecated Use {@link #forNumber(int)} instead.
*/
@java.lang.Deprecated
public static ModelType valueOf(int value) {
return forNumber(value);
}
/**
* @param value The numeric wire value of the corresponding enum entry.
* @return The enum associated with the given numeric wire value.
*/
public static ModelType forNumber(int value) {
switch (value) {
case 0:
return MODEL_TYPE_UNSPECIFIED;
case 1:
return MODEL_TYPE_STANDARD;
case 3:
return MODEL_TYPE_ADVANCED;
default:
return null;
}
}
public static com.google.protobuf.Internal.EnumLiteMap internalGetValueMap() {
return internalValueMap;
}
private static final com.google.protobuf.Internal.EnumLiteMap internalValueMap =
new com.google.protobuf.Internal.EnumLiteMap() {
public ModelType findValueByNumber(int number) {
return ModelType.forNumber(number);
}
};
public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() {
if (this == UNRECOGNIZED) {
throw new java.lang.IllegalStateException(
"Can't get the descriptor of an unrecognized enum value.");
}
return getDescriptor().getValues().get(ordinal());
}
public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() {
return getDescriptor();
}
public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() {
return com.google.cloud.dialogflow.cx.v3beta1.NluSettings.getDescriptor()
.getEnumTypes()
.get(0);
}
private static final ModelType[] VALUES = values();
public static ModelType valueOf(com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
if (desc.getType() != getDescriptor()) {
throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type.");
}
if (desc.getIndex() == -1) {
return UNRECOGNIZED;
}
return VALUES[desc.getIndex()];
}
private final int value;
private ModelType(int value) {
this.value = value;
}
// @@protoc_insertion_point(enum_scope:google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelType)
}
/**
*
*
*
* NLU model training mode.
*
*
* Protobuf enum {@code google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelTrainingMode}
*/
public enum ModelTrainingMode implements com.google.protobuf.ProtocolMessageEnum {
/**
*
*
*
* Not specified. `MODEL_TRAINING_MODE_AUTOMATIC` will be used.
*
*
* MODEL_TRAINING_MODE_UNSPECIFIED = 0;
*/
MODEL_TRAINING_MODE_UNSPECIFIED(0),
/**
*
*
*
* NLU model training is automatically triggered when a flow gets modified.
* User can also manually trigger model training in this mode.
*
*
* MODEL_TRAINING_MODE_AUTOMATIC = 1;
*/
MODEL_TRAINING_MODE_AUTOMATIC(1),
/**
*
*
*
* User needs to manually trigger NLU model training. Best for large flows
* whose models take long time to train.
*
*
* MODEL_TRAINING_MODE_MANUAL = 2;
*/
MODEL_TRAINING_MODE_MANUAL(2),
UNRECOGNIZED(-1),
;
/**
*
*
*
* Not specified. `MODEL_TRAINING_MODE_AUTOMATIC` will be used.
*
*
* MODEL_TRAINING_MODE_UNSPECIFIED = 0;
*/
public static final int MODEL_TRAINING_MODE_UNSPECIFIED_VALUE = 0;
/**
*
*
*
* NLU model training is automatically triggered when a flow gets modified.
* User can also manually trigger model training in this mode.
*
*
* MODEL_TRAINING_MODE_AUTOMATIC = 1;
*/
public static final int MODEL_TRAINING_MODE_AUTOMATIC_VALUE = 1;
/**
*
*
*
* User needs to manually trigger NLU model training. Best for large flows
* whose models take long time to train.
*
*
* MODEL_TRAINING_MODE_MANUAL = 2;
*/
public static final int MODEL_TRAINING_MODE_MANUAL_VALUE = 2;
public final int getNumber() {
if (this == UNRECOGNIZED) {
throw new java.lang.IllegalArgumentException(
"Can't get the number of an unknown enum value.");
}
return value;
}
/**
* @param value The numeric wire value of the corresponding enum entry.
* @return The enum associated with the given numeric wire value.
* @deprecated Use {@link #forNumber(int)} instead.
*/
@java.lang.Deprecated
public static ModelTrainingMode valueOf(int value) {
return forNumber(value);
}
/**
* @param value The numeric wire value of the corresponding enum entry.
* @return The enum associated with the given numeric wire value.
*/
public static ModelTrainingMode forNumber(int value) {
switch (value) {
case 0:
return MODEL_TRAINING_MODE_UNSPECIFIED;
case 1:
return MODEL_TRAINING_MODE_AUTOMATIC;
case 2:
return MODEL_TRAINING_MODE_MANUAL;
default:
return null;
}
}
public static com.google.protobuf.Internal.EnumLiteMap
internalGetValueMap() {
return internalValueMap;
}
private static final com.google.protobuf.Internal.EnumLiteMap
internalValueMap =
new com.google.protobuf.Internal.EnumLiteMap() {
public ModelTrainingMode findValueByNumber(int number) {
return ModelTrainingMode.forNumber(number);
}
};
public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() {
if (this == UNRECOGNIZED) {
throw new java.lang.IllegalStateException(
"Can't get the descriptor of an unrecognized enum value.");
}
return getDescriptor().getValues().get(ordinal());
}
public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() {
return getDescriptor();
}
public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() {
return com.google.cloud.dialogflow.cx.v3beta1.NluSettings.getDescriptor()
.getEnumTypes()
.get(1);
}
private static final ModelTrainingMode[] VALUES = values();
public static ModelTrainingMode valueOf(
com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
if (desc.getType() != getDescriptor()) {
throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type.");
}
if (desc.getIndex() == -1) {
return UNRECOGNIZED;
}
return VALUES[desc.getIndex()];
}
private final int value;
private ModelTrainingMode(int value) {
this.value = value;
}
// @@protoc_insertion_point(enum_scope:google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelTrainingMode)
}
public static final int MODEL_TYPE_FIELD_NUMBER = 1;
private int modelType_ = 0;
/**
*
*
*
* Indicates the type of NLU model.
*
*
* .google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelType model_type = 1;
*
* @return The enum numeric value on the wire for modelType.
*/
@java.lang.Override
public int getModelTypeValue() {
return modelType_;
}
/**
*
*
*
* Indicates the type of NLU model.
*
*
* .google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelType model_type = 1;
*
* @return The modelType.
*/
@java.lang.Override
public com.google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelType getModelType() {
com.google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelType result =
com.google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelType.forNumber(modelType_);
return result == null
? com.google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelType.UNRECOGNIZED
: result;
}
public static final int CLASSIFICATION_THRESHOLD_FIELD_NUMBER = 3;
private float classificationThreshold_ = 0F;
/**
*
*
*
* To filter out false positive results and still get variety in matched
* natural language inputs for your agent, you can tune the machine learning
* classification threshold. If the returned score value is less than the
* threshold value, then a no-match event will be triggered. The score values
* range from 0.0 (completely uncertain) to 1.0 (completely certain). If set
* to 0.0, the default of 0.3 is used. You can set a separate classification
* threshold for the flow in each language enabled for the agent.
*
*
* float classification_threshold = 3;
*
* @return The classificationThreshold.
*/
@java.lang.Override
public float getClassificationThreshold() {
return classificationThreshold_;
}
public static final int MODEL_TRAINING_MODE_FIELD_NUMBER = 4;
private int modelTrainingMode_ = 0;
/**
*
*
*
* Indicates NLU model training mode.
*
*
*
* .google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelTrainingMode model_training_mode = 4;
*
*
* @return The enum numeric value on the wire for modelTrainingMode.
*/
@java.lang.Override
public int getModelTrainingModeValue() {
return modelTrainingMode_;
}
/**
*
*
*
* Indicates NLU model training mode.
*
*
*
* .google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelTrainingMode model_training_mode = 4;
*
*
* @return The modelTrainingMode.
*/
@java.lang.Override
public com.google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelTrainingMode
getModelTrainingMode() {
com.google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelTrainingMode result =
com.google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelTrainingMode.forNumber(
modelTrainingMode_);
return result == null
? com.google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelTrainingMode.UNRECOGNIZED
: result;
}
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 (modelType_
!= com.google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelType.MODEL_TYPE_UNSPECIFIED
.getNumber()) {
output.writeEnum(1, modelType_);
}
if (java.lang.Float.floatToRawIntBits(classificationThreshold_) != 0) {
output.writeFloat(3, classificationThreshold_);
}
if (modelTrainingMode_
!= com.google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelTrainingMode
.MODEL_TRAINING_MODE_UNSPECIFIED
.getNumber()) {
output.writeEnum(4, modelTrainingMode_);
}
getUnknownFields().writeTo(output);
}
@java.lang.Override
public int getSerializedSize() {
int size = memoizedSize;
if (size != -1) return size;
size = 0;
if (modelType_
!= com.google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelType.MODEL_TYPE_UNSPECIFIED
.getNumber()) {
size += com.google.protobuf.CodedOutputStream.computeEnumSize(1, modelType_);
}
if (java.lang.Float.floatToRawIntBits(classificationThreshold_) != 0) {
size += com.google.protobuf.CodedOutputStream.computeFloatSize(3, classificationThreshold_);
}
if (modelTrainingMode_
!= com.google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelTrainingMode
.MODEL_TRAINING_MODE_UNSPECIFIED
.getNumber()) {
size += com.google.protobuf.CodedOutputStream.computeEnumSize(4, modelTrainingMode_);
}
size += getUnknownFields().getSerializedSize();
memoizedSize = size;
return size;
}
@java.lang.Override
public boolean equals(final java.lang.Object obj) {
if (obj == this) {
return true;
}
if (!(obj instanceof com.google.cloud.dialogflow.cx.v3beta1.NluSettings)) {
return super.equals(obj);
}
com.google.cloud.dialogflow.cx.v3beta1.NluSettings other =
(com.google.cloud.dialogflow.cx.v3beta1.NluSettings) obj;
if (modelType_ != other.modelType_) return false;
if (java.lang.Float.floatToIntBits(getClassificationThreshold())
!= java.lang.Float.floatToIntBits(other.getClassificationThreshold())) return false;
if (modelTrainingMode_ != other.modelTrainingMode_) 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) + MODEL_TYPE_FIELD_NUMBER;
hash = (53 * hash) + modelType_;
hash = (37 * hash) + CLASSIFICATION_THRESHOLD_FIELD_NUMBER;
hash = (53 * hash) + java.lang.Float.floatToIntBits(getClassificationThreshold());
hash = (37 * hash) + MODEL_TRAINING_MODE_FIELD_NUMBER;
hash = (53 * hash) + modelTrainingMode_;
hash = (29 * hash) + getUnknownFields().hashCode();
memoizedHashCode = hash;
return hash;
}
public static com.google.cloud.dialogflow.cx.v3beta1.NluSettings parseFrom(
java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.dialogflow.cx.v3beta1.NluSettings 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.dialogflow.cx.v3beta1.NluSettings parseFrom(
com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.dialogflow.cx.v3beta1.NluSettings 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.dialogflow.cx.v3beta1.NluSettings parseFrom(byte[] data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.dialogflow.cx.v3beta1.NluSettings parseFrom(
byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.cloud.dialogflow.cx.v3beta1.NluSettings parseFrom(
java.io.InputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
}
public static com.google.cloud.dialogflow.cx.v3beta1.NluSettings 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.dialogflow.cx.v3beta1.NluSettings parseDelimitedFrom(
java.io.InputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
}
public static com.google.cloud.dialogflow.cx.v3beta1.NluSettings 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.dialogflow.cx.v3beta1.NluSettings parseFrom(
com.google.protobuf.CodedInputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
}
public static com.google.cloud.dialogflow.cx.v3beta1.NluSettings 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.dialogflow.cx.v3beta1.NluSettings 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;
}
/**
*
*
*
* Settings related to NLU.
*
*
* Protobuf type {@code google.cloud.dialogflow.cx.v3beta1.NluSettings}
*/
public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
implements
// @@protoc_insertion_point(builder_implements:google.cloud.dialogflow.cx.v3beta1.NluSettings)
com.google.cloud.dialogflow.cx.v3beta1.NluSettingsOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
return com.google.cloud.dialogflow.cx.v3beta1.FlowProto
.internal_static_google_cloud_dialogflow_cx_v3beta1_NluSettings_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return com.google.cloud.dialogflow.cx.v3beta1.FlowProto
.internal_static_google_cloud_dialogflow_cx_v3beta1_NluSettings_fieldAccessorTable
.ensureFieldAccessorsInitialized(
com.google.cloud.dialogflow.cx.v3beta1.NluSettings.class,
com.google.cloud.dialogflow.cx.v3beta1.NluSettings.Builder.class);
}
// Construct using com.google.cloud.dialogflow.cx.v3beta1.NluSettings.newBuilder()
private Builder() {}
private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
}
@java.lang.Override
public Builder clear() {
super.clear();
bitField0_ = 0;
modelType_ = 0;
classificationThreshold_ = 0F;
modelTrainingMode_ = 0;
return this;
}
@java.lang.Override
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
return com.google.cloud.dialogflow.cx.v3beta1.FlowProto
.internal_static_google_cloud_dialogflow_cx_v3beta1_NluSettings_descriptor;
}
@java.lang.Override
public com.google.cloud.dialogflow.cx.v3beta1.NluSettings getDefaultInstanceForType() {
return com.google.cloud.dialogflow.cx.v3beta1.NluSettings.getDefaultInstance();
}
@java.lang.Override
public com.google.cloud.dialogflow.cx.v3beta1.NluSettings build() {
com.google.cloud.dialogflow.cx.v3beta1.NluSettings result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
@java.lang.Override
public com.google.cloud.dialogflow.cx.v3beta1.NluSettings buildPartial() {
com.google.cloud.dialogflow.cx.v3beta1.NluSettings result =
new com.google.cloud.dialogflow.cx.v3beta1.NluSettings(this);
if (bitField0_ != 0) {
buildPartial0(result);
}
onBuilt();
return result;
}
private void buildPartial0(com.google.cloud.dialogflow.cx.v3beta1.NluSettings result) {
int from_bitField0_ = bitField0_;
if (((from_bitField0_ & 0x00000001) != 0)) {
result.modelType_ = modelType_;
}
if (((from_bitField0_ & 0x00000002) != 0)) {
result.classificationThreshold_ = classificationThreshold_;
}
if (((from_bitField0_ & 0x00000004) != 0)) {
result.modelTrainingMode_ = modelTrainingMode_;
}
}
@java.lang.Override
public Builder clone() {
return super.clone();
}
@java.lang.Override
public Builder setField(
com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
return super.setField(field, value);
}
@java.lang.Override
public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
return super.clearField(field);
}
@java.lang.Override
public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
return super.clearOneof(oneof);
}
@java.lang.Override
public Builder setRepeatedField(
com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
return super.setRepeatedField(field, index, value);
}
@java.lang.Override
public Builder addRepeatedField(
com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
return super.addRepeatedField(field, value);
}
@java.lang.Override
public Builder mergeFrom(com.google.protobuf.Message other) {
if (other instanceof com.google.cloud.dialogflow.cx.v3beta1.NluSettings) {
return mergeFrom((com.google.cloud.dialogflow.cx.v3beta1.NluSettings) other);
} else {
super.mergeFrom(other);
return this;
}
}
public Builder mergeFrom(com.google.cloud.dialogflow.cx.v3beta1.NluSettings other) {
if (other == com.google.cloud.dialogflow.cx.v3beta1.NluSettings.getDefaultInstance())
return this;
if (other.modelType_ != 0) {
setModelTypeValue(other.getModelTypeValue());
}
if (other.getClassificationThreshold() != 0F) {
setClassificationThreshold(other.getClassificationThreshold());
}
if (other.modelTrainingMode_ != 0) {
setModelTrainingModeValue(other.getModelTrainingModeValue());
}
this.mergeUnknownFields(other.getUnknownFields());
onChanged();
return this;
}
@java.lang.Override
public final boolean isInitialized() {
return true;
}
@java.lang.Override
public Builder mergeFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
if (extensionRegistry == null) {
throw new java.lang.NullPointerException();
}
try {
boolean done = false;
while (!done) {
int tag = input.readTag();
switch (tag) {
case 0:
done = true;
break;
case 8:
{
modelType_ = input.readEnum();
bitField0_ |= 0x00000001;
break;
} // case 8
case 29:
{
classificationThreshold_ = input.readFloat();
bitField0_ |= 0x00000002;
break;
} // case 29
case 32:
{
modelTrainingMode_ = input.readEnum();
bitField0_ |= 0x00000004;
break;
} // case 32
default:
{
if (!super.parseUnknownField(input, extensionRegistry, tag)) {
done = true; // was an endgroup tag
}
break;
} // default:
} // switch (tag)
} // while (!done)
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
throw e.unwrapIOException();
} finally {
onChanged();
} // finally
return this;
}
private int bitField0_;
private int modelType_ = 0;
/**
*
*
*
* Indicates the type of NLU model.
*
*
* .google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelType model_type = 1;
*
* @return The enum numeric value on the wire for modelType.
*/
@java.lang.Override
public int getModelTypeValue() {
return modelType_;
}
/**
*
*
*
* Indicates the type of NLU model.
*
*
* .google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelType model_type = 1;
*
* @param value The enum numeric value on the wire for modelType to set.
* @return This builder for chaining.
*/
public Builder setModelTypeValue(int value) {
modelType_ = value;
bitField0_ |= 0x00000001;
onChanged();
return this;
}
/**
*
*
*
* Indicates the type of NLU model.
*
*
* .google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelType model_type = 1;
*
* @return The modelType.
*/
@java.lang.Override
public com.google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelType getModelType() {
com.google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelType result =
com.google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelType.forNumber(modelType_);
return result == null
? com.google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelType.UNRECOGNIZED
: result;
}
/**
*
*
*
* Indicates the type of NLU model.
*
*
* .google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelType model_type = 1;
*
* @param value The modelType to set.
* @return This builder for chaining.
*/
public Builder setModelType(
com.google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelType value) {
if (value == null) {
throw new NullPointerException();
}
bitField0_ |= 0x00000001;
modelType_ = value.getNumber();
onChanged();
return this;
}
/**
*
*
*
* Indicates the type of NLU model.
*
*
* .google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelType model_type = 1;
*
* @return This builder for chaining.
*/
public Builder clearModelType() {
bitField0_ = (bitField0_ & ~0x00000001);
modelType_ = 0;
onChanged();
return this;
}
private float classificationThreshold_;
/**
*
*
*
* To filter out false positive results and still get variety in matched
* natural language inputs for your agent, you can tune the machine learning
* classification threshold. If the returned score value is less than the
* threshold value, then a no-match event will be triggered. The score values
* range from 0.0 (completely uncertain) to 1.0 (completely certain). If set
* to 0.0, the default of 0.3 is used. You can set a separate classification
* threshold for the flow in each language enabled for the agent.
*
*
* float classification_threshold = 3;
*
* @return The classificationThreshold.
*/
@java.lang.Override
public float getClassificationThreshold() {
return classificationThreshold_;
}
/**
*
*
*
* To filter out false positive results and still get variety in matched
* natural language inputs for your agent, you can tune the machine learning
* classification threshold. If the returned score value is less than the
* threshold value, then a no-match event will be triggered. The score values
* range from 0.0 (completely uncertain) to 1.0 (completely certain). If set
* to 0.0, the default of 0.3 is used. You can set a separate classification
* threshold for the flow in each language enabled for the agent.
*
*
* float classification_threshold = 3;
*
* @param value The classificationThreshold to set.
* @return This builder for chaining.
*/
public Builder setClassificationThreshold(float value) {
classificationThreshold_ = value;
bitField0_ |= 0x00000002;
onChanged();
return this;
}
/**
*
*
*
* To filter out false positive results and still get variety in matched
* natural language inputs for your agent, you can tune the machine learning
* classification threshold. If the returned score value is less than the
* threshold value, then a no-match event will be triggered. The score values
* range from 0.0 (completely uncertain) to 1.0 (completely certain). If set
* to 0.0, the default of 0.3 is used. You can set a separate classification
* threshold for the flow in each language enabled for the agent.
*
*
* float classification_threshold = 3;
*
* @return This builder for chaining.
*/
public Builder clearClassificationThreshold() {
bitField0_ = (bitField0_ & ~0x00000002);
classificationThreshold_ = 0F;
onChanged();
return this;
}
private int modelTrainingMode_ = 0;
/**
*
*
*
* Indicates NLU model training mode.
*
*
*
* .google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelTrainingMode model_training_mode = 4;
*
*
* @return The enum numeric value on the wire for modelTrainingMode.
*/
@java.lang.Override
public int getModelTrainingModeValue() {
return modelTrainingMode_;
}
/**
*
*
*
* Indicates NLU model training mode.
*
*
*
* .google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelTrainingMode model_training_mode = 4;
*
*
* @param value The enum numeric value on the wire for modelTrainingMode to set.
* @return This builder for chaining.
*/
public Builder setModelTrainingModeValue(int value) {
modelTrainingMode_ = value;
bitField0_ |= 0x00000004;
onChanged();
return this;
}
/**
*
*
*
* Indicates NLU model training mode.
*
*
*
* .google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelTrainingMode model_training_mode = 4;
*
*
* @return The modelTrainingMode.
*/
@java.lang.Override
public com.google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelTrainingMode
getModelTrainingMode() {
com.google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelTrainingMode result =
com.google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelTrainingMode.forNumber(
modelTrainingMode_);
return result == null
? com.google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelTrainingMode.UNRECOGNIZED
: result;
}
/**
*
*
*
* Indicates NLU model training mode.
*
*
*
* .google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelTrainingMode model_training_mode = 4;
*
*
* @param value The modelTrainingMode to set.
* @return This builder for chaining.
*/
public Builder setModelTrainingMode(
com.google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelTrainingMode value) {
if (value == null) {
throw new NullPointerException();
}
bitField0_ |= 0x00000004;
modelTrainingMode_ = value.getNumber();
onChanged();
return this;
}
/**
*
*
*
* Indicates NLU model training mode.
*
*
*
* .google.cloud.dialogflow.cx.v3beta1.NluSettings.ModelTrainingMode model_training_mode = 4;
*
*
* @return This builder for chaining.
*/
public Builder clearModelTrainingMode() {
bitField0_ = (bitField0_ & ~0x00000004);
modelTrainingMode_ = 0;
onChanged();
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.dialogflow.cx.v3beta1.NluSettings)
}
// @@protoc_insertion_point(class_scope:google.cloud.dialogflow.cx.v3beta1.NluSettings)
private static final com.google.cloud.dialogflow.cx.v3beta1.NluSettings DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new com.google.cloud.dialogflow.cx.v3beta1.NluSettings();
}
public static com.google.cloud.dialogflow.cx.v3beta1.NluSettings getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser PARSER =
new com.google.protobuf.AbstractParser() {
@java.lang.Override
public NluSettings 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.dialogflow.cx.v3beta1.NluSettings getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}