public static final class AutoMlImageObjectDetectionInputs.Builder extends com.google.protobuf.GeneratedMessageV3.Builder<AutoMlImageObjectDetectionInputs.Builder> implements AutoMlImageObjectDetectionInputsOrBuilder
google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs| Modifier and Type | Method and Description |
|---|---|
AutoMlImageObjectDetectionInputs.Builder |
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
Object value) |
AutoMlImageObjectDetectionInputs |
build() |
AutoMlImageObjectDetectionInputs |
buildPartial() |
AutoMlImageObjectDetectionInputs.Builder |
clear() |
AutoMlImageObjectDetectionInputs.Builder |
clearBudgetMilliNodeHours()
The training budget of creating this model, expressed in milli node
hours i.e. 1,000 value in this field means 1 node hour.
|
AutoMlImageObjectDetectionInputs.Builder |
clearDisableEarlyStopping()
Use the entire training budget.
|
AutoMlImageObjectDetectionInputs.Builder |
clearField(com.google.protobuf.Descriptors.FieldDescriptor field) |
AutoMlImageObjectDetectionInputs.Builder |
clearModelType()
.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;
|
AutoMlImageObjectDetectionInputs.Builder |
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) |
AutoMlImageObjectDetectionInputs.Builder |
clone() |
long |
getBudgetMilliNodeHours()
The training budget of creating this model, expressed in milli node
hours i.e. 1,000 value in this field means 1 node hour.
|
AutoMlImageObjectDetectionInputs |
getDefaultInstanceForType() |
static com.google.protobuf.Descriptors.Descriptor |
getDescriptor() |
com.google.protobuf.Descriptors.Descriptor |
getDescriptorForType() |
boolean |
getDisableEarlyStopping()
Use the entire training budget.
|
AutoMlImageObjectDetectionInputs.ModelType |
getModelType()
.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;
|
int |
getModelTypeValue()
.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;
|
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable |
internalGetFieldAccessorTable() |
boolean |
isInitialized() |
AutoMlImageObjectDetectionInputs.Builder |
mergeFrom(AutoMlImageObjectDetectionInputs other) |
AutoMlImageObjectDetectionInputs.Builder |
mergeFrom(com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
AutoMlImageObjectDetectionInputs.Builder |
mergeFrom(com.google.protobuf.Message other) |
AutoMlImageObjectDetectionInputs.Builder |
mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) |
AutoMlImageObjectDetectionInputs.Builder |
setBudgetMilliNodeHours(long value)
The training budget of creating this model, expressed in milli node
hours i.e. 1,000 value in this field means 1 node hour.
|
AutoMlImageObjectDetectionInputs.Builder |
setDisableEarlyStopping(boolean value)
Use the entire training budget.
|
AutoMlImageObjectDetectionInputs.Builder |
setField(com.google.protobuf.Descriptors.FieldDescriptor field,
Object value) |
AutoMlImageObjectDetectionInputs.Builder |
setModelType(AutoMlImageObjectDetectionInputs.ModelType value)
.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;
|
AutoMlImageObjectDetectionInputs.Builder |
setModelTypeValue(int value)
.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;
|
AutoMlImageObjectDetectionInputs.Builder |
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
int index,
Object value) |
AutoMlImageObjectDetectionInputs.Builder |
setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) |
getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, internalGetMutableMapField, internalGetMutableMapFieldReflection, isClean, markClean, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setUnknownFieldSetBuilder, setUnknownFieldsProto3findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toStringaddAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, newUninitializedMessageExceptionequals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitpublic static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<AutoMlImageObjectDetectionInputs.Builder>public AutoMlImageObjectDetectionInputs.Builder clear()
clear in interface com.google.protobuf.Message.Builderclear in interface com.google.protobuf.MessageLite.Builderclear in class com.google.protobuf.GeneratedMessageV3.Builder<AutoMlImageObjectDetectionInputs.Builder>public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
getDescriptorForType in interface com.google.protobuf.Message.BuildergetDescriptorForType in interface com.google.protobuf.MessageOrBuildergetDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<AutoMlImageObjectDetectionInputs.Builder>public AutoMlImageObjectDetectionInputs getDefaultInstanceForType()
getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuildergetDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilderpublic AutoMlImageObjectDetectionInputs build()
build in interface com.google.protobuf.Message.Builderbuild in interface com.google.protobuf.MessageLite.Builderpublic AutoMlImageObjectDetectionInputs buildPartial()
buildPartial in interface com.google.protobuf.Message.BuilderbuildPartial in interface com.google.protobuf.MessageLite.Builderpublic AutoMlImageObjectDetectionInputs.Builder clone()
clone in interface com.google.protobuf.Message.Builderclone in interface com.google.protobuf.MessageLite.Builderclone in class com.google.protobuf.GeneratedMessageV3.Builder<AutoMlImageObjectDetectionInputs.Builder>public AutoMlImageObjectDetectionInputs.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
setField in interface com.google.protobuf.Message.BuildersetField in class com.google.protobuf.GeneratedMessageV3.Builder<AutoMlImageObjectDetectionInputs.Builder>public AutoMlImageObjectDetectionInputs.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
clearField in interface com.google.protobuf.Message.BuilderclearField in class com.google.protobuf.GeneratedMessageV3.Builder<AutoMlImageObjectDetectionInputs.Builder>public AutoMlImageObjectDetectionInputs.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
clearOneof in interface com.google.protobuf.Message.BuilderclearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<AutoMlImageObjectDetectionInputs.Builder>public AutoMlImageObjectDetectionInputs.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
setRepeatedField in interface com.google.protobuf.Message.BuildersetRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<AutoMlImageObjectDetectionInputs.Builder>public AutoMlImageObjectDetectionInputs.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
addRepeatedField in interface com.google.protobuf.Message.BuilderaddRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<AutoMlImageObjectDetectionInputs.Builder>public AutoMlImageObjectDetectionInputs.Builder mergeFrom(com.google.protobuf.Message other)
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<AutoMlImageObjectDetectionInputs.Builder>public AutoMlImageObjectDetectionInputs.Builder mergeFrom(AutoMlImageObjectDetectionInputs other)
public final boolean isInitialized()
isInitialized in interface com.google.protobuf.MessageLiteOrBuilderisInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<AutoMlImageObjectDetectionInputs.Builder>public AutoMlImageObjectDetectionInputs.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in interface com.google.protobuf.MessageLite.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<AutoMlImageObjectDetectionInputs.Builder>IOExceptionpublic int getModelTypeValue()
.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;
getModelTypeValue in interface AutoMlImageObjectDetectionInputsOrBuilderpublic AutoMlImageObjectDetectionInputs.Builder setModelTypeValue(int value)
.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;
value - The enum numeric value on the wire for modelType to set.public AutoMlImageObjectDetectionInputs.ModelType getModelType()
.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;
getModelType in interface AutoMlImageObjectDetectionInputsOrBuilderpublic AutoMlImageObjectDetectionInputs.Builder setModelType(AutoMlImageObjectDetectionInputs.ModelType value)
.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;
value - The modelType to set.public AutoMlImageObjectDetectionInputs.Builder clearModelType()
.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;
public long getBudgetMilliNodeHours()
The training budget of creating this model, expressed in milli node hours i.e. 1,000 value in this field means 1 node hour. The actual metadata.costMilliNodeHours will be equal or less than this value. If further model training ceases to provide any improvements, it will stop without using the full budget and the metadata.successfulStopReason will be `model-converged`. Note, node_hour = actual_hour * number_of_nodes_involved. For modelType `cloud`(default), the budget must be between 20,000 and 900,000 milli node hours, inclusive. The default value is 216,000 which represents one day in wall time, considering 9 nodes are used. For model types `mobile-tf-low-latency-1`, `mobile-tf-versatile-1`, `mobile-tf-high-accuracy-1` the training budget must be between 1,000 and 100,000 milli node hours, inclusive. The default value is 24,000 which represents one day in wall time on a single node that is used.
int64 budget_milli_node_hours = 2;getBudgetMilliNodeHours in interface AutoMlImageObjectDetectionInputsOrBuilderpublic AutoMlImageObjectDetectionInputs.Builder setBudgetMilliNodeHours(long value)
The training budget of creating this model, expressed in milli node hours i.e. 1,000 value in this field means 1 node hour. The actual metadata.costMilliNodeHours will be equal or less than this value. If further model training ceases to provide any improvements, it will stop without using the full budget and the metadata.successfulStopReason will be `model-converged`. Note, node_hour = actual_hour * number_of_nodes_involved. For modelType `cloud`(default), the budget must be between 20,000 and 900,000 milli node hours, inclusive. The default value is 216,000 which represents one day in wall time, considering 9 nodes are used. For model types `mobile-tf-low-latency-1`, `mobile-tf-versatile-1`, `mobile-tf-high-accuracy-1` the training budget must be between 1,000 and 100,000 milli node hours, inclusive. The default value is 24,000 which represents one day in wall time on a single node that is used.
int64 budget_milli_node_hours = 2;value - The budgetMilliNodeHours to set.public AutoMlImageObjectDetectionInputs.Builder clearBudgetMilliNodeHours()
The training budget of creating this model, expressed in milli node hours i.e. 1,000 value in this field means 1 node hour. The actual metadata.costMilliNodeHours will be equal or less than this value. If further model training ceases to provide any improvements, it will stop without using the full budget and the metadata.successfulStopReason will be `model-converged`. Note, node_hour = actual_hour * number_of_nodes_involved. For modelType `cloud`(default), the budget must be between 20,000 and 900,000 milli node hours, inclusive. The default value is 216,000 which represents one day in wall time, considering 9 nodes are used. For model types `mobile-tf-low-latency-1`, `mobile-tf-versatile-1`, `mobile-tf-high-accuracy-1` the training budget must be between 1,000 and 100,000 milli node hours, inclusive. The default value is 24,000 which represents one day in wall time on a single node that is used.
int64 budget_milli_node_hours = 2;public boolean getDisableEarlyStopping()
Use the entire training budget. This disables the early stopping feature. When false the early stopping feature is enabled, which means that AutoML Image Object Detection might stop training before the entire training budget has been used.
bool disable_early_stopping = 3;getDisableEarlyStopping in interface AutoMlImageObjectDetectionInputsOrBuilderpublic AutoMlImageObjectDetectionInputs.Builder setDisableEarlyStopping(boolean value)
Use the entire training budget. This disables the early stopping feature. When false the early stopping feature is enabled, which means that AutoML Image Object Detection might stop training before the entire training budget has been used.
bool disable_early_stopping = 3;value - The disableEarlyStopping to set.public AutoMlImageObjectDetectionInputs.Builder clearDisableEarlyStopping()
Use the entire training budget. This disables the early stopping feature. When false the early stopping feature is enabled, which means that AutoML Image Object Detection might stop training before the entire training budget has been used.
bool disable_early_stopping = 3;public final AutoMlImageObjectDetectionInputs.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
setUnknownFields in interface com.google.protobuf.Message.BuildersetUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<AutoMlImageObjectDetectionInputs.Builder>public final AutoMlImageObjectDetectionInputs.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
mergeUnknownFields in interface com.google.protobuf.Message.BuildermergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<AutoMlImageObjectDetectionInputs.Builder>Copyright © 2025 Google LLC. All rights reserved.