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// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: proto/clarifai/api/resources.proto
package com.clarifai.grpc.api;
/**
*
* OutputConfig is a collection of parameters controlling either inference or training settings for
* the given Model. This message will be deprecated over time in favor or infer_params and
* train_params in OutputInfo which are cleaner and more extensible for many ModelTypes.
*
*
* Protobuf type {@code clarifai.api.OutputConfig}
*/
public final class OutputConfig extends
com.google.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:clarifai.api.OutputConfig)
OutputConfigOrBuilder {
private static final long serialVersionUID = 0L;
// Use OutputConfig.newBuilder() to construct.
private OutputConfig(com.google.protobuf.GeneratedMessageV3.Builder> builder) {
super(builder);
}
private OutputConfig() {
existingModelId_ = "";
language_ = "";
hyperParameters_ = "";
selectConcepts_ = java.util.Collections.emptyList();
embedModelVersionId_ = "";
}
@java.lang.Override
@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(
UnusedPrivateParameter unused) {
return new OutputConfig();
}
@java.lang.Override
public final com.google.protobuf.UnknownFieldSet
getUnknownFields() {
return this.unknownFields;
}
private OutputConfig(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
this();
if (extensionRegistry == null) {
throw new java.lang.NullPointerException();
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com.google.protobuf.UnknownFieldSet.Builder unknownFields =
com.google.protobuf.UnknownFieldSet.newBuilder();
try {
boolean done = false;
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switch (tag) {
case 0:
done = true;
break;
case 8: {
conceptsMutuallyExclusive_ = input.readBool();
break;
}
case 26: {
java.lang.String s = input.readStringRequireUtf8();
existingModelId_ = s;
break;
}
case 34: {
java.lang.String s = input.readStringRequireUtf8();
language_ = s;
break;
}
case 42: {
java.lang.String s = input.readStringRequireUtf8();
hyperParameters_ = s;
break;
}
case 48: {
maxConcepts_ = input.readUInt32();
break;
}
case 61: {
minValue_ = input.readFloat();
break;
}
case 66: {
if (!((mutable_bitField0_ & 0x00000001) != 0)) {
selectConcepts_ = new java.util.ArrayList();
mutable_bitField0_ |= 0x00000001;
}
selectConcepts_.add(
input.readMessage(com.clarifai.grpc.api.Concept.parser(), extensionRegistry));
break;
}
case 72: {
trainingTimeout_ = input.readUInt32();
break;
}
case 80: {
sampleMs_ = input.readUInt32();
break;
}
case 106: {
com.google.protobuf.Struct.Builder subBuilder = null;
if (hyperParams_ != null) {
subBuilder = hyperParams_.toBuilder();
}
hyperParams_ = input.readMessage(com.google.protobuf.Struct.parser(), extensionRegistry);
if (subBuilder != null) {
subBuilder.mergeFrom(hyperParams_);
hyperParams_ = subBuilder.buildPartial();
}
break;
}
case 114: {
java.lang.String s = input.readStringRequireUtf8();
embedModelVersionId_ = s;
break;
}
case 120: {
failOnMissingPositiveExamples_ = input.readBool();
break;
}
case 138: {
com.google.protobuf.Struct.Builder subBuilder = null;
if (modelMetadata_ != null) {
subBuilder = modelMetadata_.toBuilder();
}
modelMetadata_ = input.readMessage(com.google.protobuf.Struct.parser(), extensionRegistry);
if (subBuilder != null) {
subBuilder.mergeFrom(modelMetadata_);
modelMetadata_ = subBuilder.buildPartial();
}
break;
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throw e.asInvalidProtocolBufferException().setUnfinishedMessage(this);
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throw new com.google.protobuf.InvalidProtocolBufferException(
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if (((mutable_bitField0_ & 0x00000001) != 0)) {
selectConcepts_ = java.util.Collections.unmodifiableList(selectConcepts_);
}
this.unknownFields = unknownFields.build();
makeExtensionsImmutable();
}
}
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return com.clarifai.grpc.api.Resources.internal_static_clarifai_api_OutputConfig_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return com.clarifai.grpc.api.Resources.internal_static_clarifai_api_OutputConfig_fieldAccessorTable
.ensureFieldAccessorsInitialized(
com.clarifai.grpc.api.OutputConfig.class, com.clarifai.grpc.api.OutputConfig.Builder.class);
}
public static final int CONCEPTS_MUTUALLY_EXCLUSIVE_FIELD_NUMBER = 1;
private boolean conceptsMutuallyExclusive_;
/**
*
* For custom concept model training: whether the concept predictions must sum to 1.
*
*
* bool concepts_mutually_exclusive = 1 [deprecated = true];
* @deprecated clarifai.api.OutputConfig.concepts_mutually_exclusive is deprecated.
* See proto/clarifai/api/resources.proto;l=1509
* @return The conceptsMutuallyExclusive.
*/
@java.lang.Override
@java.lang.Deprecated public boolean getConceptsMutuallyExclusive() {
return conceptsMutuallyExclusive_;
}
public static final int EXISTING_MODEL_ID_FIELD_NUMBER = 3;
private volatile java.lang.Object existingModelId_;
/**
*
* DEPRECATED: For custom models, this is the base model to use for image embeddings.
* Default is general model.
*
*
* string existing_model_id = 3 [deprecated = true];
* @deprecated clarifai.api.OutputConfig.existing_model_id is deprecated.
* See proto/clarifai/api/resources.proto;l=1512
* @return The existingModelId.
*/
@java.lang.Override
@java.lang.Deprecated public java.lang.String getExistingModelId() {
java.lang.Object ref = existingModelId_;
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();
existingModelId_ = s;
return s;
}
}
/**
*
* DEPRECATED: For custom models, this is the base model to use for image embeddings.
* Default is general model.
*
*
* string existing_model_id = 3 [deprecated = true];
* @deprecated clarifai.api.OutputConfig.existing_model_id is deprecated.
* See proto/clarifai/api/resources.proto;l=1512
* @return The bytes for existingModelId.
*/
@java.lang.Override
@java.lang.Deprecated public com.google.protobuf.ByteString
getExistingModelIdBytes() {
java.lang.Object ref = existingModelId_;
if (ref instanceof java.lang.String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
existingModelId_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
public static final int LANGUAGE_FIELD_NUMBER = 4;
private volatile java.lang.Object language_;
/**
*
* For concept model predictions: Overrides the default_language for the app in a predict call.
*
*
* string language = 4;
* @return The language.
*/
@java.lang.Override
public java.lang.String getLanguage() {
java.lang.Object ref = language_;
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();
language_ = s;
return s;
}
}
/**
*
* For concept model predictions: Overrides the default_language for the app in a predict call.
*
*
* string language = 4;
* @return The bytes for language.
*/
@java.lang.Override
public com.google.protobuf.ByteString
getLanguageBytes() {
java.lang.Object ref = language_;
if (ref instanceof java.lang.String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
language_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
public static final int HYPER_PARAMETERS_FIELD_NUMBER = 5;
private volatile java.lang.Object hyperParameters_;
/**
*
* DEPRECATED: Hyper-parameters for custom training.
* Use new hyper_params field instead.
*
*
* string hyper_parameters = 5 [deprecated = true];
* @deprecated clarifai.api.OutputConfig.hyper_parameters is deprecated.
* See proto/clarifai/api/resources.proto;l=1517
* @return The hyperParameters.
*/
@java.lang.Override
@java.lang.Deprecated public java.lang.String getHyperParameters() {
java.lang.Object ref = hyperParameters_;
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();
hyperParameters_ = s;
return s;
}
}
/**
*
* DEPRECATED: Hyper-parameters for custom training.
* Use new hyper_params field instead.
*
*
* string hyper_parameters = 5 [deprecated = true];
* @deprecated clarifai.api.OutputConfig.hyper_parameters is deprecated.
* See proto/clarifai/api/resources.proto;l=1517
* @return The bytes for hyperParameters.
*/
@java.lang.Override
@java.lang.Deprecated public com.google.protobuf.ByteString
getHyperParametersBytes() {
java.lang.Object ref = hyperParameters_;
if (ref instanceof java.lang.String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
hyperParameters_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
public static final int MAX_CONCEPTS_FIELD_NUMBER = 6;
private int maxConcepts_;
/**
*
* For concept model predictions: Maximum number of concepts in result. Defaults to 0 which under
* the hood will return default of 20. We do a server side default in order to control this
* feature in the future.
*
*
* uint32 max_concepts = 6 [(.clarifai.api.utils.cl_show_if_empty) = true];
* @return The maxConcepts.
*/
@java.lang.Override
public int getMaxConcepts() {
return maxConcepts_;
}
public static final int MIN_VALUE_FIELD_NUMBER = 7;
private float minValue_;
/**
*
* For concept model predictions: Minimum value of concept's probability score in result.
* Defaults to 0.0 which means we won't do any thresholding as all probabilities will
* likely be > 0.0.
*
*
* float min_value = 7 [(.clarifai.api.utils.cl_show_if_empty) = true];
* @return The minValue.
*/
@java.lang.Override
public float getMinValue() {
return minValue_;
}
public static final int SELECT_CONCEPTS_FIELD_NUMBER = 8;
private java.util.List selectConcepts_;
/**
*
* For concept model predictions: Select concepts in result by name or by id
*
*
* repeated .clarifai.api.Concept select_concepts = 8;
*/
@java.lang.Override
public java.util.List getSelectConceptsList() {
return selectConcepts_;
}
/**
*
* For concept model predictions: Select concepts in result by name or by id
*
*
* repeated .clarifai.api.Concept select_concepts = 8;
*/
@java.lang.Override
public java.util.List extends com.clarifai.grpc.api.ConceptOrBuilder>
getSelectConceptsOrBuilderList() {
return selectConcepts_;
}
/**
*
* For concept model predictions: Select concepts in result by name or by id
*
*
* repeated .clarifai.api.Concept select_concepts = 8;
*/
@java.lang.Override
public int getSelectConceptsCount() {
return selectConcepts_.size();
}
/**
*
* For concept model predictions: Select concepts in result by name or by id
*
*
* repeated .clarifai.api.Concept select_concepts = 8;
*/
@java.lang.Override
public com.clarifai.grpc.api.Concept getSelectConcepts(int index) {
return selectConcepts_.get(index);
}
/**
*
* For concept model predictions: Select concepts in result by name or by id
*
*
* repeated .clarifai.api.Concept select_concepts = 8;
*/
@java.lang.Override
public com.clarifai.grpc.api.ConceptOrBuilder getSelectConceptsOrBuilder(
int index) {
return selectConcepts_.get(index);
}
public static final int TRAINING_TIMEOUT_FIELD_NUMBER = 9;
private int trainingTimeout_;
/**
*
* For custom concept model training: Training timeout of the model (in seconds)
*
*
* uint32 training_timeout = 9;
* @return The trainingTimeout.
*/
@java.lang.Override
public int getTrainingTimeout() {
return trainingTimeout_;
}
public static final int SAMPLE_MS_FIELD_NUMBER = 10;
private int sampleMs_;
/**
*
* For model predictions on video: Sample delay for video predicting (1 frame per N milliseconds)
*
*
* uint32 sample_ms = 10;
* @return The sampleMs.
*/
@java.lang.Override
public int getSampleMs() {
return sampleMs_;
}
public static final int HYPER_PARAMS_FIELD_NUMBER = 13;
private com.google.protobuf.Struct hyperParams_;
/**
*
* For custom model training: Hyperparameters for custom training
*
*
* .google.protobuf.Struct hyper_params = 13;
* @return Whether the hyperParams field is set.
*/
@java.lang.Override
public boolean hasHyperParams() {
return hyperParams_ != null;
}
/**
*
* For custom model training: Hyperparameters for custom training
*
*
* .google.protobuf.Struct hyper_params = 13;
* @return The hyperParams.
*/
@java.lang.Override
public com.google.protobuf.Struct getHyperParams() {
return hyperParams_ == null ? com.google.protobuf.Struct.getDefaultInstance() : hyperParams_;
}
/**
*
* For custom model training: Hyperparameters for custom training
*
*
* .google.protobuf.Struct hyper_params = 13;
*/
@java.lang.Override
public com.google.protobuf.StructOrBuilder getHyperParamsOrBuilder() {
return getHyperParams();
}
public static final int EMBED_MODEL_VERSION_ID_FIELD_NUMBER = 14;
private volatile java.lang.Object embedModelVersionId_;
/**
*
* For custom model training: this is the base model version to use for image embeddings.
* This has to be one of the embed models in the app workflow.
*
*
* string embed_model_version_id = 14 [deprecated = true];
* @deprecated clarifai.api.OutputConfig.embed_model_version_id is deprecated.
* See proto/clarifai/api/resources.proto;l=1536
* @return The embedModelVersionId.
*/
@java.lang.Override
@java.lang.Deprecated public java.lang.String getEmbedModelVersionId() {
java.lang.Object ref = embedModelVersionId_;
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();
embedModelVersionId_ = s;
return s;
}
}
/**
*
* For custom model training: this is the base model version to use for image embeddings.
* This has to be one of the embed models in the app workflow.
*
*
* string embed_model_version_id = 14 [deprecated = true];
* @deprecated clarifai.api.OutputConfig.embed_model_version_id is deprecated.
* See proto/clarifai/api/resources.proto;l=1536
* @return The bytes for embedModelVersionId.
*/
@java.lang.Override
@java.lang.Deprecated public com.google.protobuf.ByteString
getEmbedModelVersionIdBytes() {
java.lang.Object ref = embedModelVersionId_;
if (ref instanceof java.lang.String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
embedModelVersionId_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
public static final int FAIL_ON_MISSING_POSITIVE_EXAMPLES_FIELD_NUMBER = 15;
private boolean failOnMissingPositiveExamples_;
/**
*
* For custom model training: Use this flag to fail on missing positive examples
* By default we fill in the missing with random examples
*
*
* bool fail_on_missing_positive_examples = 15;
* @return The failOnMissingPositiveExamples.
*/
@java.lang.Override
public boolean getFailOnMissingPositiveExamples() {
return failOnMissingPositiveExamples_;
}
public static final int MODEL_METADATA_FIELD_NUMBER = 17;
private com.google.protobuf.Struct modelMetadata_;
/**
*
* For custom model training: This is any additional metadata as a JSON object that we want
* want to persist in the model's output config. This is a useful quick way to set fields for
* introducing fields for new model types so we don't have to add a new proto field and DB field
* each time. Please refer to the documentation or model implementation internally for more
* details on what fields are supported for which models.
* TODO(zeiler): remove this field after Portal is updated.
*
*
* .google.protobuf.Struct model_metadata = 17 [deprecated = true];
* @deprecated clarifai.api.OutputConfig.model_metadata is deprecated.
* See proto/clarifai/api/resources.proto;l=1546
* @return Whether the modelMetadata field is set.
*/
@java.lang.Override
@java.lang.Deprecated public boolean hasModelMetadata() {
return modelMetadata_ != null;
}
/**
*
* For custom model training: This is any additional metadata as a JSON object that we want
* want to persist in the model's output config. This is a useful quick way to set fields for
* introducing fields for new model types so we don't have to add a new proto field and DB field
* each time. Please refer to the documentation or model implementation internally for more
* details on what fields are supported for which models.
* TODO(zeiler): remove this field after Portal is updated.
*
*
* .google.protobuf.Struct model_metadata = 17 [deprecated = true];
* @deprecated clarifai.api.OutputConfig.model_metadata is deprecated.
* See proto/clarifai/api/resources.proto;l=1546
* @return The modelMetadata.
*/
@java.lang.Override
@java.lang.Deprecated public com.google.protobuf.Struct getModelMetadata() {
return modelMetadata_ == null ? com.google.protobuf.Struct.getDefaultInstance() : modelMetadata_;
}
/**
*
* For custom model training: This is any additional metadata as a JSON object that we want
* want to persist in the model's output config. This is a useful quick way to set fields for
* introducing fields for new model types so we don't have to add a new proto field and DB field
* each time. Please refer to the documentation or model implementation internally for more
* details on what fields are supported for which models.
* TODO(zeiler): remove this field after Portal is updated.
*
*
* .google.protobuf.Struct model_metadata = 17 [deprecated = true];
*/
@java.lang.Override
@java.lang.Deprecated public com.google.protobuf.StructOrBuilder getModelMetadataOrBuilder() {
return getModelMetadata();
}
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 (conceptsMutuallyExclusive_ != false) {
output.writeBool(1, conceptsMutuallyExclusive_);
}
if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(existingModelId_)) {
com.google.protobuf.GeneratedMessageV3.writeString(output, 3, existingModelId_);
}
if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(language_)) {
com.google.protobuf.GeneratedMessageV3.writeString(output, 4, language_);
}
if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(hyperParameters_)) {
com.google.protobuf.GeneratedMessageV3.writeString(output, 5, hyperParameters_);
}
if (maxConcepts_ != 0) {
output.writeUInt32(6, maxConcepts_);
}
if (java.lang.Float.floatToRawIntBits(minValue_) != 0) {
output.writeFloat(7, minValue_);
}
for (int i = 0; i < selectConcepts_.size(); i++) {
output.writeMessage(8, selectConcepts_.get(i));
}
if (trainingTimeout_ != 0) {
output.writeUInt32(9, trainingTimeout_);
}
if (sampleMs_ != 0) {
output.writeUInt32(10, sampleMs_);
}
if (hyperParams_ != null) {
output.writeMessage(13, getHyperParams());
}
if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(embedModelVersionId_)) {
com.google.protobuf.GeneratedMessageV3.writeString(output, 14, embedModelVersionId_);
}
if (failOnMissingPositiveExamples_ != false) {
output.writeBool(15, failOnMissingPositiveExamples_);
}
if (modelMetadata_ != null) {
output.writeMessage(17, getModelMetadata());
}
unknownFields.writeTo(output);
}
@java.lang.Override
public int getSerializedSize() {
int size = memoizedSize;
if (size != -1) return size;
size = 0;
if (conceptsMutuallyExclusive_ != false) {
size += com.google.protobuf.CodedOutputStream
.computeBoolSize(1, conceptsMutuallyExclusive_);
}
if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(existingModelId_)) {
size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, existingModelId_);
}
if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(language_)) {
size += com.google.protobuf.GeneratedMessageV3.computeStringSize(4, language_);
}
if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(hyperParameters_)) {
size += com.google.protobuf.GeneratedMessageV3.computeStringSize(5, hyperParameters_);
}
if (maxConcepts_ != 0) {
size += com.google.protobuf.CodedOutputStream
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}
if (java.lang.Float.floatToRawIntBits(minValue_) != 0) {
size += com.google.protobuf.CodedOutputStream
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}
for (int i = 0; i < selectConcepts_.size(); i++) {
size += com.google.protobuf.CodedOutputStream
.computeMessageSize(8, selectConcepts_.get(i));
}
if (trainingTimeout_ != 0) {
size += com.google.protobuf.CodedOutputStream
.computeUInt32Size(9, trainingTimeout_);
}
if (sampleMs_ != 0) {
size += com.google.protobuf.CodedOutputStream
.computeUInt32Size(10, sampleMs_);
}
if (hyperParams_ != null) {
size += com.google.protobuf.CodedOutputStream
.computeMessageSize(13, getHyperParams());
}
if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(embedModelVersionId_)) {
size += com.google.protobuf.GeneratedMessageV3.computeStringSize(14, embedModelVersionId_);
}
if (failOnMissingPositiveExamples_ != false) {
size += com.google.protobuf.CodedOutputStream
.computeBoolSize(15, failOnMissingPositiveExamples_);
}
if (modelMetadata_ != null) {
size += com.google.protobuf.CodedOutputStream
.computeMessageSize(17, getModelMetadata());
}
size += unknownFields.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.clarifai.grpc.api.OutputConfig)) {
return super.equals(obj);
}
com.clarifai.grpc.api.OutputConfig other = (com.clarifai.grpc.api.OutputConfig) obj;
if (getConceptsMutuallyExclusive()
!= other.getConceptsMutuallyExclusive()) return false;
if (!getExistingModelId()
.equals(other.getExistingModelId())) return false;
if (!getLanguage()
.equals(other.getLanguage())) return false;
if (!getHyperParameters()
.equals(other.getHyperParameters())) return false;
if (getMaxConcepts()
!= other.getMaxConcepts()) return false;
if (java.lang.Float.floatToIntBits(getMinValue())
!= java.lang.Float.floatToIntBits(
other.getMinValue())) return false;
if (!getSelectConceptsList()
.equals(other.getSelectConceptsList())) return false;
if (getTrainingTimeout()
!= other.getTrainingTimeout()) return false;
if (getSampleMs()
!= other.getSampleMs()) return false;
if (hasHyperParams() != other.hasHyperParams()) return false;
if (hasHyperParams()) {
if (!getHyperParams()
.equals(other.getHyperParams())) return false;
}
if (!getEmbedModelVersionId()
.equals(other.getEmbedModelVersionId())) return false;
if (getFailOnMissingPositiveExamples()
!= other.getFailOnMissingPositiveExamples()) return false;
if (hasModelMetadata() != other.hasModelMetadata()) return false;
if (hasModelMetadata()) {
if (!getModelMetadata()
.equals(other.getModelMetadata())) return false;
}
if (!unknownFields.equals(other.unknownFields)) 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) + CONCEPTS_MUTUALLY_EXCLUSIVE_FIELD_NUMBER;
hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(
getConceptsMutuallyExclusive());
hash = (37 * hash) + EXISTING_MODEL_ID_FIELD_NUMBER;
hash = (53 * hash) + getExistingModelId().hashCode();
hash = (37 * hash) + LANGUAGE_FIELD_NUMBER;
hash = (53 * hash) + getLanguage().hashCode();
hash = (37 * hash) + HYPER_PARAMETERS_FIELD_NUMBER;
hash = (53 * hash) + getHyperParameters().hashCode();
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private int bitField0_;
private boolean conceptsMutuallyExclusive_ ;
/**
*
* For custom concept model training: whether the concept predictions must sum to 1.
*
*
* bool concepts_mutually_exclusive = 1 [deprecated = true];
* @deprecated clarifai.api.OutputConfig.concepts_mutually_exclusive is deprecated.
* See proto/clarifai/api/resources.proto;l=1509
* @return The conceptsMutuallyExclusive.
*/
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/**
*
* For custom concept model training: whether the concept predictions must sum to 1.
*
*
* bool concepts_mutually_exclusive = 1 [deprecated = true];
* @deprecated clarifai.api.OutputConfig.concepts_mutually_exclusive is deprecated.
* See proto/clarifai/api/resources.proto;l=1509
* @param value The conceptsMutuallyExclusive to set.
* @return This builder for chaining.
*/
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onChanged();
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/**
*
* For custom concept model training: whether the concept predictions must sum to 1.
*
*
* bool concepts_mutually_exclusive = 1 [deprecated = true];
* @deprecated clarifai.api.OutputConfig.concepts_mutually_exclusive is deprecated.
* See proto/clarifai/api/resources.proto;l=1509
* @return This builder for chaining.
*/
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private java.lang.Object existingModelId_ = "";
/**
*
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* Default is general model.
*
*
* string existing_model_id = 3 [deprecated = true];
* @deprecated clarifai.api.OutputConfig.existing_model_id is deprecated.
* See proto/clarifai/api/resources.proto;l=1512
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/**
*
* DEPRECATED: For custom models, this is the base model to use for image embeddings.
* Default is general model.
*
*
* string existing_model_id = 3 [deprecated = true];
* @deprecated clarifai.api.OutputConfig.existing_model_id is deprecated.
* See proto/clarifai/api/resources.proto;l=1512
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/**
*
* DEPRECATED: For custom models, this is the base model to use for image embeddings.
* Default is general model.
*
*
* string existing_model_id = 3 [deprecated = true];
* @deprecated clarifai.api.OutputConfig.existing_model_id is deprecated.
* See proto/clarifai/api/resources.proto;l=1512
* @param value The existingModelId to set.
* @return This builder for chaining.
*/
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java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
existingModelId_ = value;
onChanged();
return this;
}
/**
*
* DEPRECATED: For custom models, this is the base model to use for image embeddings.
* Default is general model.
*
*
* string existing_model_id = 3 [deprecated = true];
* @deprecated clarifai.api.OutputConfig.existing_model_id is deprecated.
* See proto/clarifai/api/resources.proto;l=1512
* @return This builder for chaining.
*/
@java.lang.Deprecated public Builder clearExistingModelId() {
existingModelId_ = getDefaultInstance().getExistingModelId();
onChanged();
return this;
}
/**
*
* DEPRECATED: For custom models, this is the base model to use for image embeddings.
* Default is general model.
*
*
* string existing_model_id = 3 [deprecated = true];
* @deprecated clarifai.api.OutputConfig.existing_model_id is deprecated.
* See proto/clarifai/api/resources.proto;l=1512
* @param value The bytes for existingModelId to set.
* @return This builder for chaining.
*/
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checkByteStringIsUtf8(value);
existingModelId_ = value;
onChanged();
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}
private java.lang.Object language_ = "";
/**
*
* For concept model predictions: Overrides the default_language for the app in a predict call.
*
*
* string language = 4;
* @return The language.
*/
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java.lang.Object ref = language_;
if (!(ref instanceof java.lang.String)) {
com.google.protobuf.ByteString bs =
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java.lang.String s = bs.toStringUtf8();
language_ = s;
return s;
} else {
return (java.lang.String) ref;
}
}
/**
*
* For concept model predictions: Overrides the default_language for the app in a predict call.
*
*
* string language = 4;
* @return The bytes for language.
*/
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getLanguageBytes() {
java.lang.Object ref = language_;
if (ref instanceof String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
language_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
/**
*
* For concept model predictions: Overrides the default_language for the app in a predict call.
*
*
* string language = 4;
* @param value The language to set.
* @return This builder for chaining.
*/
public Builder setLanguage(
java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
language_ = value;
onChanged();
return this;
}
/**
*
* For concept model predictions: Overrides the default_language for the app in a predict call.
*
*
* string language = 4;
* @return This builder for chaining.
*/
public Builder clearLanguage() {
language_ = getDefaultInstance().getLanguage();
onChanged();
return this;
}
/**
*
* For concept model predictions: Overrides the default_language for the app in a predict call.
*
*
* string language = 4;
* @param value The bytes for language to set.
* @return This builder for chaining.
*/
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}
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onChanged();
return this;
}
private java.lang.Object hyperParameters_ = "";
/**
*
* DEPRECATED: Hyper-parameters for custom training.
* Use new hyper_params field instead.
*
*
* string hyper_parameters = 5 [deprecated = true];
* @deprecated clarifai.api.OutputConfig.hyper_parameters is deprecated.
* See proto/clarifai/api/resources.proto;l=1517
* @return The hyperParameters.
*/
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/**
*
* DEPRECATED: Hyper-parameters for custom training.
* Use new hyper_params field instead.
*
*
* string hyper_parameters = 5 [deprecated = true];
* @deprecated clarifai.api.OutputConfig.hyper_parameters is deprecated.
* See proto/clarifai/api/resources.proto;l=1517
* @return The bytes for hyperParameters.
*/
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java.lang.Object ref = hyperParameters_;
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/**
*
* DEPRECATED: Hyper-parameters for custom training.
* Use new hyper_params field instead.
*
*
* string hyper_parameters = 5 [deprecated = true];
* @deprecated clarifai.api.OutputConfig.hyper_parameters is deprecated.
* See proto/clarifai/api/resources.proto;l=1517
* @param value The hyperParameters to set.
* @return This builder for chaining.
*/
@java.lang.Deprecated public Builder setHyperParameters(
java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
hyperParameters_ = value;
onChanged();
return this;
}
/**
*
* DEPRECATED: Hyper-parameters for custom training.
* Use new hyper_params field instead.
*
*
* string hyper_parameters = 5 [deprecated = true];
* @deprecated clarifai.api.OutputConfig.hyper_parameters is deprecated.
* See proto/clarifai/api/resources.proto;l=1517
* @return This builder for chaining.
*/
@java.lang.Deprecated public Builder clearHyperParameters() {
hyperParameters_ = getDefaultInstance().getHyperParameters();
onChanged();
return this;
}
/**
*
* DEPRECATED: Hyper-parameters for custom training.
* Use new hyper_params field instead.
*
*
* string hyper_parameters = 5 [deprecated = true];
* @deprecated clarifai.api.OutputConfig.hyper_parameters is deprecated.
* See proto/clarifai/api/resources.proto;l=1517
* @param value The bytes for hyperParameters to set.
* @return This builder for chaining.
*/
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if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
hyperParameters_ = value;
onChanged();
return this;
}
private int maxConcepts_ ;
/**
*
* For concept model predictions: Maximum number of concepts in result. Defaults to 0 which under
* the hood will return default of 20. We do a server side default in order to control this
* feature in the future.
*
*
* uint32 max_concepts = 6 [(.clarifai.api.utils.cl_show_if_empty) = true];
* @return The maxConcepts.
*/
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return maxConcepts_;
}
/**
*
* For concept model predictions: Maximum number of concepts in result. Defaults to 0 which under
* the hood will return default of 20. We do a server side default in order to control this
* feature in the future.
*
*
* uint32 max_concepts = 6 [(.clarifai.api.utils.cl_show_if_empty) = true];
* @param value The maxConcepts to set.
* @return This builder for chaining.
*/
public Builder setMaxConcepts(int value) {
maxConcepts_ = value;
onChanged();
return this;
}
/**
*
* For concept model predictions: Maximum number of concepts in result. Defaults to 0 which under
* the hood will return default of 20. We do a server side default in order to control this
* feature in the future.
*
*
* uint32 max_concepts = 6 [(.clarifai.api.utils.cl_show_if_empty) = true];
* @return This builder for chaining.
*/
public Builder clearMaxConcepts() {
maxConcepts_ = 0;
onChanged();
return this;
}
private float minValue_ ;
/**
*
* For concept model predictions: Minimum value of concept's probability score in result.
* Defaults to 0.0 which means we won't do any thresholding as all probabilities will
* likely be > 0.0.
*
*
* float min_value = 7 [(.clarifai.api.utils.cl_show_if_empty) = true];
* @return The minValue.
*/
@java.lang.Override
public float getMinValue() {
return minValue_;
}
/**
*
* For concept model predictions: Minimum value of concept's probability score in result.
* Defaults to 0.0 which means we won't do any thresholding as all probabilities will
* likely be > 0.0.
*
*
* float min_value = 7 [(.clarifai.api.utils.cl_show_if_empty) = true];
* @param value The minValue to set.
* @return This builder for chaining.
*/
public Builder setMinValue(float value) {
minValue_ = value;
onChanged();
return this;
}
/**
*
* For concept model predictions: Minimum value of concept's probability score in result.
* Defaults to 0.0 which means we won't do any thresholding as all probabilities will
* likely be > 0.0.
*
*
* float min_value = 7 [(.clarifai.api.utils.cl_show_if_empty) = true];
* @return This builder for chaining.
*/
public Builder clearMinValue() {
minValue_ = 0F;
onChanged();
return this;
}
private java.util.List selectConcepts_ =
java.util.Collections.emptyList();
private void ensureSelectConceptsIsMutable() {
if (!((bitField0_ & 0x00000001) != 0)) {
selectConcepts_ = new java.util.ArrayList(selectConcepts_);
bitField0_ |= 0x00000001;
}
}
private com.google.protobuf.RepeatedFieldBuilderV3<
com.clarifai.grpc.api.Concept, com.clarifai.grpc.api.Concept.Builder, com.clarifai.grpc.api.ConceptOrBuilder> selectConceptsBuilder_;
/**
*
* For concept model predictions: Select concepts in result by name or by id
*
*
* repeated .clarifai.api.Concept select_concepts = 8;
*/
public java.util.List getSelectConceptsList() {
if (selectConceptsBuilder_ == null) {
return java.util.Collections.unmodifiableList(selectConcepts_);
} else {
return selectConceptsBuilder_.getMessageList();
}
}
/**
*
* For concept model predictions: Select concepts in result by name or by id
*
*
* repeated .clarifai.api.Concept select_concepts = 8;
*/
public int getSelectConceptsCount() {
if (selectConceptsBuilder_ == null) {
return selectConcepts_.size();
} else {
return selectConceptsBuilder_.getCount();
}
}
/**
*
* For concept model predictions: Select concepts in result by name or by id
*
*
* repeated .clarifai.api.Concept select_concepts = 8;
*/
public com.clarifai.grpc.api.Concept getSelectConcepts(int index) {
if (selectConceptsBuilder_ == null) {
return selectConcepts_.get(index);
} else {
return selectConceptsBuilder_.getMessage(index);
}
}
/**
*
* For concept model predictions: Select concepts in result by name or by id
*
*
* repeated .clarifai.api.Concept select_concepts = 8;
*/
public Builder setSelectConcepts(
int index, com.clarifai.grpc.api.Concept value) {
if (selectConceptsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureSelectConceptsIsMutable();
selectConcepts_.set(index, value);
onChanged();
} else {
selectConceptsBuilder_.setMessage(index, value);
}
return this;
}
/**
*
* For concept model predictions: Select concepts in result by name or by id
*
*
* repeated .clarifai.api.Concept select_concepts = 8;
*/
public Builder setSelectConcepts(
int index, com.clarifai.grpc.api.Concept.Builder builderForValue) {
if (selectConceptsBuilder_ == null) {
ensureSelectConceptsIsMutable();
selectConcepts_.set(index, builderForValue.build());
onChanged();
} else {
selectConceptsBuilder_.setMessage(index, builderForValue.build());
}
return this;
}
/**
*
* For concept model predictions: Select concepts in result by name or by id
*
*
* repeated .clarifai.api.Concept select_concepts = 8;
*/
public Builder addSelectConcepts(com.clarifai.grpc.api.Concept value) {
if (selectConceptsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureSelectConceptsIsMutable();
selectConcepts_.add(value);
onChanged();
} else {
selectConceptsBuilder_.addMessage(value);
}
return this;
}
/**
*
* For concept model predictions: Select concepts in result by name or by id
*
*
* repeated .clarifai.api.Concept select_concepts = 8;
*/
public Builder addSelectConcepts(
int index, com.clarifai.grpc.api.Concept value) {
if (selectConceptsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureSelectConceptsIsMutable();
selectConcepts_.add(index, value);
onChanged();
} else {
selectConceptsBuilder_.addMessage(index, value);
}
return this;
}
/**
*
* For concept model predictions: Select concepts in result by name or by id
*
*
* repeated .clarifai.api.Concept select_concepts = 8;
*/
public Builder addSelectConcepts(
com.clarifai.grpc.api.Concept.Builder builderForValue) {
if (selectConceptsBuilder_ == null) {
ensureSelectConceptsIsMutable();
selectConcepts_.add(builderForValue.build());
onChanged();
} else {
selectConceptsBuilder_.addMessage(builderForValue.build());
}
return this;
}
/**
*
* For concept model predictions: Select concepts in result by name or by id
*
*
* repeated .clarifai.api.Concept select_concepts = 8;
*/
public Builder addSelectConcepts(
int index, com.clarifai.grpc.api.Concept.Builder builderForValue) {
if (selectConceptsBuilder_ == null) {
ensureSelectConceptsIsMutable();
selectConcepts_.add(index, builderForValue.build());
onChanged();
} else {
selectConceptsBuilder_.addMessage(index, builderForValue.build());
}
return this;
}
/**
*
* For concept model predictions: Select concepts in result by name or by id
*
*
* repeated .clarifai.api.Concept select_concepts = 8;
*/
public Builder addAllSelectConcepts(
java.lang.Iterable extends com.clarifai.grpc.api.Concept> values) {
if (selectConceptsBuilder_ == null) {
ensureSelectConceptsIsMutable();
com.google.protobuf.AbstractMessageLite.Builder.addAll(
values, selectConcepts_);
onChanged();
} else {
selectConceptsBuilder_.addAllMessages(values);
}
return this;
}
/**
*
* For concept model predictions: Select concepts in result by name or by id
*
*
* repeated .clarifai.api.Concept select_concepts = 8;
*/
public Builder clearSelectConcepts() {
if (selectConceptsBuilder_ == null) {
selectConcepts_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x00000001);
onChanged();
} else {
selectConceptsBuilder_.clear();
}
return this;
}
/**
*
* For concept model predictions: Select concepts in result by name or by id
*
*
* repeated .clarifai.api.Concept select_concepts = 8;
*/
public Builder removeSelectConcepts(int index) {
if (selectConceptsBuilder_ == null) {
ensureSelectConceptsIsMutable();
selectConcepts_.remove(index);
onChanged();
} else {
selectConceptsBuilder_.remove(index);
}
return this;
}
/**
*
* For concept model predictions: Select concepts in result by name or by id
*
*
* repeated .clarifai.api.Concept select_concepts = 8;
*/
public com.clarifai.grpc.api.Concept.Builder getSelectConceptsBuilder(
int index) {
return getSelectConceptsFieldBuilder().getBuilder(index);
}
/**
*
* For concept model predictions: Select concepts in result by name or by id
*
*
* repeated .clarifai.api.Concept select_concepts = 8;
*/
public com.clarifai.grpc.api.ConceptOrBuilder getSelectConceptsOrBuilder(
int index) {
if (selectConceptsBuilder_ == null) {
return selectConcepts_.get(index); } else {
return selectConceptsBuilder_.getMessageOrBuilder(index);
}
}
/**
*
* For concept model predictions: Select concepts in result by name or by id
*
*
* repeated .clarifai.api.Concept select_concepts = 8;
*/
public java.util.List extends com.clarifai.grpc.api.ConceptOrBuilder>
getSelectConceptsOrBuilderList() {
if (selectConceptsBuilder_ != null) {
return selectConceptsBuilder_.getMessageOrBuilderList();
} else {
return java.util.Collections.unmodifiableList(selectConcepts_);
}
}
/**
*
* For concept model predictions: Select concepts in result by name or by id
*
*
* repeated .clarifai.api.Concept select_concepts = 8;
*/
public com.clarifai.grpc.api.Concept.Builder addSelectConceptsBuilder() {
return getSelectConceptsFieldBuilder().addBuilder(
com.clarifai.grpc.api.Concept.getDefaultInstance());
}
/**
*
* For concept model predictions: Select concepts in result by name or by id
*
*
* repeated .clarifai.api.Concept select_concepts = 8;
*/
public com.clarifai.grpc.api.Concept.Builder addSelectConceptsBuilder(
int index) {
return getSelectConceptsFieldBuilder().addBuilder(
index, com.clarifai.grpc.api.Concept.getDefaultInstance());
}
/**
*
* For concept model predictions: Select concepts in result by name or by id
*
*
* repeated .clarifai.api.Concept select_concepts = 8;
*/
public java.util.List
getSelectConceptsBuilderList() {
return getSelectConceptsFieldBuilder().getBuilderList();
}
private com.google.protobuf.RepeatedFieldBuilderV3<
com.clarifai.grpc.api.Concept, com.clarifai.grpc.api.Concept.Builder, com.clarifai.grpc.api.ConceptOrBuilder>
getSelectConceptsFieldBuilder() {
if (selectConceptsBuilder_ == null) {
selectConceptsBuilder_ = new com.google.protobuf.RepeatedFieldBuilderV3<
com.clarifai.grpc.api.Concept, com.clarifai.grpc.api.Concept.Builder, com.clarifai.grpc.api.ConceptOrBuilder>(
selectConcepts_,
((bitField0_ & 0x00000001) != 0),
getParentForChildren(),
isClean());
selectConcepts_ = null;
}
return selectConceptsBuilder_;
}
private int trainingTimeout_ ;
/**
*
* For custom concept model training: Training timeout of the model (in seconds)
*
*
* uint32 training_timeout = 9;
* @return The trainingTimeout.
*/
@java.lang.Override
public int getTrainingTimeout() {
return trainingTimeout_;
}
/**
*
* For custom concept model training: Training timeout of the model (in seconds)
*
*
* uint32 training_timeout = 9;
* @param value The trainingTimeout to set.
* @return This builder for chaining.
*/
public Builder setTrainingTimeout(int value) {
trainingTimeout_ = value;
onChanged();
return this;
}
/**
*
* For custom concept model training: Training timeout of the model (in seconds)
*
*
* uint32 training_timeout = 9;
* @return This builder for chaining.
*/
public Builder clearTrainingTimeout() {
trainingTimeout_ = 0;
onChanged();
return this;
}
private int sampleMs_ ;
/**
*
* For model predictions on video: Sample delay for video predicting (1 frame per N milliseconds)
*
*
* uint32 sample_ms = 10;
* @return The sampleMs.
*/
@java.lang.Override
public int getSampleMs() {
return sampleMs_;
}
/**
*
* For model predictions on video: Sample delay for video predicting (1 frame per N milliseconds)
*
*
* uint32 sample_ms = 10;
* @param value The sampleMs to set.
* @return This builder for chaining.
*/
public Builder setSampleMs(int value) {
sampleMs_ = value;
onChanged();
return this;
}
/**
*
* For model predictions on video: Sample delay for video predicting (1 frame per N milliseconds)
*
*
* uint32 sample_ms = 10;
* @return This builder for chaining.
*/
public Builder clearSampleMs() {
sampleMs_ = 0;
onChanged();
return this;
}
private com.google.protobuf.Struct hyperParams_;
private com.google.protobuf.SingleFieldBuilderV3<
com.google.protobuf.Struct, com.google.protobuf.Struct.Builder, com.google.protobuf.StructOrBuilder> hyperParamsBuilder_;
/**
*
* For custom model training: Hyperparameters for custom training
*
*
* .google.protobuf.Struct hyper_params = 13;
* @return Whether the hyperParams field is set.
*/
public boolean hasHyperParams() {
return hyperParamsBuilder_ != null || hyperParams_ != null;
}
/**
*
* For custom model training: Hyperparameters for custom training
*
*
* .google.protobuf.Struct hyper_params = 13;
* @return The hyperParams.
*/
public com.google.protobuf.Struct getHyperParams() {
if (hyperParamsBuilder_ == null) {
return hyperParams_ == null ? com.google.protobuf.Struct.getDefaultInstance() : hyperParams_;
} else {
return hyperParamsBuilder_.getMessage();
}
}
/**
*
* For custom model training: Hyperparameters for custom training
*
*
* .google.protobuf.Struct hyper_params = 13;
*/
public Builder setHyperParams(com.google.protobuf.Struct value) {
if (hyperParamsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
hyperParams_ = value;
onChanged();
} else {
hyperParamsBuilder_.setMessage(value);
}
return this;
}
/**
*
* For custom model training: Hyperparameters for custom training
*
*
* .google.protobuf.Struct hyper_params = 13;
*/
public Builder setHyperParams(
com.google.protobuf.Struct.Builder builderForValue) {
if (hyperParamsBuilder_ == null) {
hyperParams_ = builderForValue.build();
onChanged();
} else {
hyperParamsBuilder_.setMessage(builderForValue.build());
}
return this;
}
/**
*
* For custom model training: Hyperparameters for custom training
*
*
* .google.protobuf.Struct hyper_params = 13;
*/
public Builder mergeHyperParams(com.google.protobuf.Struct value) {
if (hyperParamsBuilder_ == null) {
if (hyperParams_ != null) {
hyperParams_ =
com.google.protobuf.Struct.newBuilder(hyperParams_).mergeFrom(value).buildPartial();
} else {
hyperParams_ = value;
}
onChanged();
} else {
hyperParamsBuilder_.mergeFrom(value);
}
return this;
}
/**
*
* For custom model training: Hyperparameters for custom training
*
*
* .google.protobuf.Struct hyper_params = 13;
*/
public Builder clearHyperParams() {
if (hyperParamsBuilder_ == null) {
hyperParams_ = null;
onChanged();
} else {
hyperParams_ = null;
hyperParamsBuilder_ = null;
}
return this;
}
/**
*
* For custom model training: Hyperparameters for custom training
*
*
* .google.protobuf.Struct hyper_params = 13;
*/
public com.google.protobuf.Struct.Builder getHyperParamsBuilder() {
onChanged();
return getHyperParamsFieldBuilder().getBuilder();
}
/**
*
* For custom model training: Hyperparameters for custom training
*
*
* .google.protobuf.Struct hyper_params = 13;
*/
public com.google.protobuf.StructOrBuilder getHyperParamsOrBuilder() {
if (hyperParamsBuilder_ != null) {
return hyperParamsBuilder_.getMessageOrBuilder();
} else {
return hyperParams_ == null ?
com.google.protobuf.Struct.getDefaultInstance() : hyperParams_;
}
}
/**
*
* For custom model training: Hyperparameters for custom training
*
*
* .google.protobuf.Struct hyper_params = 13;
*/
private com.google.protobuf.SingleFieldBuilderV3<
com.google.protobuf.Struct, com.google.protobuf.Struct.Builder, com.google.protobuf.StructOrBuilder>
getHyperParamsFieldBuilder() {
if (hyperParamsBuilder_ == null) {
hyperParamsBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
com.google.protobuf.Struct, com.google.protobuf.Struct.Builder, com.google.protobuf.StructOrBuilder>(
getHyperParams(),
getParentForChildren(),
isClean());
hyperParams_ = null;
}
return hyperParamsBuilder_;
}
private java.lang.Object embedModelVersionId_ = "";
/**
*
* For custom model training: this is the base model version to use for image embeddings.
* This has to be one of the embed models in the app workflow.
*
*
* string embed_model_version_id = 14 [deprecated = true];
* @deprecated clarifai.api.OutputConfig.embed_model_version_id is deprecated.
* See proto/clarifai/api/resources.proto;l=1536
* @return The embedModelVersionId.
*/
@java.lang.Deprecated public java.lang.String getEmbedModelVersionId() {
java.lang.Object ref = embedModelVersionId_;
if (!(ref instanceof java.lang.String)) {
com.google.protobuf.ByteString bs =
(com.google.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
embedModelVersionId_ = s;
return s;
} else {
return (java.lang.String) ref;
}
}
/**
*
* For custom model training: this is the base model version to use for image embeddings.
* This has to be one of the embed models in the app workflow.
*
*
* string embed_model_version_id = 14 [deprecated = true];
* @deprecated clarifai.api.OutputConfig.embed_model_version_id is deprecated.
* See proto/clarifai/api/resources.proto;l=1536
* @return The bytes for embedModelVersionId.
*/
@java.lang.Deprecated public com.google.protobuf.ByteString
getEmbedModelVersionIdBytes() {
java.lang.Object ref = embedModelVersionId_;
if (ref instanceof String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
embedModelVersionId_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
/**
*
* For custom model training: this is the base model version to use for image embeddings.
* This has to be one of the embed models in the app workflow.
*
*
* string embed_model_version_id = 14 [deprecated = true];
* @deprecated clarifai.api.OutputConfig.embed_model_version_id is deprecated.
* See proto/clarifai/api/resources.proto;l=1536
* @param value The embedModelVersionId to set.
* @return This builder for chaining.
*/
@java.lang.Deprecated public Builder setEmbedModelVersionId(
java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
embedModelVersionId_ = value;
onChanged();
return this;
}
/**
*
* For custom model training: this is the base model version to use for image embeddings.
* This has to be one of the embed models in the app workflow.
*
*
* string embed_model_version_id = 14 [deprecated = true];
* @deprecated clarifai.api.OutputConfig.embed_model_version_id is deprecated.
* See proto/clarifai/api/resources.proto;l=1536
* @return This builder for chaining.
*/
@java.lang.Deprecated public Builder clearEmbedModelVersionId() {
embedModelVersionId_ = getDefaultInstance().getEmbedModelVersionId();
onChanged();
return this;
}
/**
*
* For custom model training: this is the base model version to use for image embeddings.
* This has to be one of the embed models in the app workflow.
*
*
* string embed_model_version_id = 14 [deprecated = true];
* @deprecated clarifai.api.OutputConfig.embed_model_version_id is deprecated.
* See proto/clarifai/api/resources.proto;l=1536
* @param value The bytes for embedModelVersionId to set.
* @return This builder for chaining.
*/
@java.lang.Deprecated public Builder setEmbedModelVersionIdBytes(
com.google.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
embedModelVersionId_ = value;
onChanged();
return this;
}
private boolean failOnMissingPositiveExamples_ ;
/**
*
* For custom model training: Use this flag to fail on missing positive examples
* By default we fill in the missing with random examples
*
*
* bool fail_on_missing_positive_examples = 15;
* @return The failOnMissingPositiveExamples.
*/
@java.lang.Override
public boolean getFailOnMissingPositiveExamples() {
return failOnMissingPositiveExamples_;
}
/**
*
* For custom model training: Use this flag to fail on missing positive examples
* By default we fill in the missing with random examples
*
*
* bool fail_on_missing_positive_examples = 15;
* @param value The failOnMissingPositiveExamples to set.
* @return This builder for chaining.
*/
public Builder setFailOnMissingPositiveExamples(boolean value) {
failOnMissingPositiveExamples_ = value;
onChanged();
return this;
}
/**
*
* For custom model training: Use this flag to fail on missing positive examples
* By default we fill in the missing with random examples
*
*
* bool fail_on_missing_positive_examples = 15;
* @return This builder for chaining.
*/
public Builder clearFailOnMissingPositiveExamples() {
failOnMissingPositiveExamples_ = false;
onChanged();
return this;
}
private com.google.protobuf.Struct modelMetadata_;
private com.google.protobuf.SingleFieldBuilderV3<
com.google.protobuf.Struct, com.google.protobuf.Struct.Builder, com.google.protobuf.StructOrBuilder> modelMetadataBuilder_;
/**
*
* For custom model training: This is any additional metadata as a JSON object that we want
* want to persist in the model's output config. This is a useful quick way to set fields for
* introducing fields for new model types so we don't have to add a new proto field and DB field
* each time. Please refer to the documentation or model implementation internally for more
* details on what fields are supported for which models.
* TODO(zeiler): remove this field after Portal is updated.
*
*
* .google.protobuf.Struct model_metadata = 17 [deprecated = true];
* @deprecated clarifai.api.OutputConfig.model_metadata is deprecated.
* See proto/clarifai/api/resources.proto;l=1546
* @return Whether the modelMetadata field is set.
*/
@java.lang.Deprecated public boolean hasModelMetadata() {
return modelMetadataBuilder_ != null || modelMetadata_ != null;
}
/**
*
* For custom model training: This is any additional metadata as a JSON object that we want
* want to persist in the model's output config. This is a useful quick way to set fields for
* introducing fields for new model types so we don't have to add a new proto field and DB field
* each time. Please refer to the documentation or model implementation internally for more
* details on what fields are supported for which models.
* TODO(zeiler): remove this field after Portal is updated.
*
*
* .google.protobuf.Struct model_metadata = 17 [deprecated = true];
* @deprecated clarifai.api.OutputConfig.model_metadata is deprecated.
* See proto/clarifai/api/resources.proto;l=1546
* @return The modelMetadata.
*/
@java.lang.Deprecated public com.google.protobuf.Struct getModelMetadata() {
if (modelMetadataBuilder_ == null) {
return modelMetadata_ == null ? com.google.protobuf.Struct.getDefaultInstance() : modelMetadata_;
} else {
return modelMetadataBuilder_.getMessage();
}
}
/**
*
* For custom model training: This is any additional metadata as a JSON object that we want
* want to persist in the model's output config. This is a useful quick way to set fields for
* introducing fields for new model types so we don't have to add a new proto field and DB field
* each time. Please refer to the documentation or model implementation internally for more
* details on what fields are supported for which models.
* TODO(zeiler): remove this field after Portal is updated.
*
*
* .google.protobuf.Struct model_metadata = 17 [deprecated = true];
*/
@java.lang.Deprecated public Builder setModelMetadata(com.google.protobuf.Struct value) {
if (modelMetadataBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
modelMetadata_ = value;
onChanged();
} else {
modelMetadataBuilder_.setMessage(value);
}
return this;
}
/**
*
* For custom model training: This is any additional metadata as a JSON object that we want
* want to persist in the model's output config. This is a useful quick way to set fields for
* introducing fields for new model types so we don't have to add a new proto field and DB field
* each time. Please refer to the documentation or model implementation internally for more
* details on what fields are supported for which models.
* TODO(zeiler): remove this field after Portal is updated.
*
*
* .google.protobuf.Struct model_metadata = 17 [deprecated = true];
*/
@java.lang.Deprecated public Builder setModelMetadata(
com.google.protobuf.Struct.Builder builderForValue) {
if (modelMetadataBuilder_ == null) {
modelMetadata_ = builderForValue.build();
onChanged();
} else {
modelMetadataBuilder_.setMessage(builderForValue.build());
}
return this;
}
/**
*
* For custom model training: This is any additional metadata as a JSON object that we want
* want to persist in the model's output config. This is a useful quick way to set fields for
* introducing fields for new model types so we don't have to add a new proto field and DB field
* each time. Please refer to the documentation or model implementation internally for more
* details on what fields are supported for which models.
* TODO(zeiler): remove this field after Portal is updated.
*
*
* .google.protobuf.Struct model_metadata = 17 [deprecated = true];
*/
@java.lang.Deprecated public Builder mergeModelMetadata(com.google.protobuf.Struct value) {
if (modelMetadataBuilder_ == null) {
if (modelMetadata_ != null) {
modelMetadata_ =
com.google.protobuf.Struct.newBuilder(modelMetadata_).mergeFrom(value).buildPartial();
} else {
modelMetadata_ = value;
}
onChanged();
} else {
modelMetadataBuilder_.mergeFrom(value);
}
return this;
}
/**
*
* For custom model training: This is any additional metadata as a JSON object that we want
* want to persist in the model's output config. This is a useful quick way to set fields for
* introducing fields for new model types so we don't have to add a new proto field and DB field
* each time. Please refer to the documentation or model implementation internally for more
* details on what fields are supported for which models.
* TODO(zeiler): remove this field after Portal is updated.
*
*
* .google.protobuf.Struct model_metadata = 17 [deprecated = true];
*/
@java.lang.Deprecated public Builder clearModelMetadata() {
if (modelMetadataBuilder_ == null) {
modelMetadata_ = null;
onChanged();
} else {
modelMetadata_ = null;
modelMetadataBuilder_ = null;
}
return this;
}
/**
*
* For custom model training: This is any additional metadata as a JSON object that we want
* want to persist in the model's output config. This is a useful quick way to set fields for
* introducing fields for new model types so we don't have to add a new proto field and DB field
* each time. Please refer to the documentation or model implementation internally for more
* details on what fields are supported for which models.
* TODO(zeiler): remove this field after Portal is updated.
*
*
* .google.protobuf.Struct model_metadata = 17 [deprecated = true];
*/
@java.lang.Deprecated public com.google.protobuf.Struct.Builder getModelMetadataBuilder() {
onChanged();
return getModelMetadataFieldBuilder().getBuilder();
}
/**
*
* For custom model training: This is any additional metadata as a JSON object that we want
* want to persist in the model's output config. This is a useful quick way to set fields for
* introducing fields for new model types so we don't have to add a new proto field and DB field
* each time. Please refer to the documentation or model implementation internally for more
* details on what fields are supported for which models.
* TODO(zeiler): remove this field after Portal is updated.
*
*
* .google.protobuf.Struct model_metadata = 17 [deprecated = true];
*/
@java.lang.Deprecated public com.google.protobuf.StructOrBuilder getModelMetadataOrBuilder() {
if (modelMetadataBuilder_ != null) {
return modelMetadataBuilder_.getMessageOrBuilder();
} else {
return modelMetadata_ == null ?
com.google.protobuf.Struct.getDefaultInstance() : modelMetadata_;
}
}
/**
*
* For custom model training: This is any additional metadata as a JSON object that we want
* want to persist in the model's output config. This is a useful quick way to set fields for
* introducing fields for new model types so we don't have to add a new proto field and DB field
* each time. Please refer to the documentation or model implementation internally for more
* details on what fields are supported for which models.
* TODO(zeiler): remove this field after Portal is updated.
*
*
* .google.protobuf.Struct model_metadata = 17 [deprecated = true];
*/
private com.google.protobuf.SingleFieldBuilderV3<
com.google.protobuf.Struct, com.google.protobuf.Struct.Builder, com.google.protobuf.StructOrBuilder>
getModelMetadataFieldBuilder() {
if (modelMetadataBuilder_ == null) {
modelMetadataBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
com.google.protobuf.Struct, com.google.protobuf.Struct.Builder, com.google.protobuf.StructOrBuilder>(
getModelMetadata(),
getParentForChildren(),
isClean());
modelMetadata_ = null;
}
return modelMetadataBuilder_;
}
@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:clarifai.api.OutputConfig)
}
// @@protoc_insertion_point(class_scope:clarifai.api.OutputConfig)
private static final com.clarifai.grpc.api.OutputConfig DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new com.clarifai.grpc.api.OutputConfig();
}
public static com.clarifai.grpc.api.OutputConfig getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser
PARSER = new com.google.protobuf.AbstractParser() {
@java.lang.Override
public OutputConfig parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return new OutputConfig(input, extensionRegistry);
}
};
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.clarifai.grpc.api.OutputConfig getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}