public final class AutoMlImageObjectDetectionInputs extends GeneratedMessageV3 implements AutoMlImageObjectDetectionInputsOrBuilder
Protobuf type
google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs
Inherited Members
com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT)
com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT,int)
com.google.protobuf.GeneratedMessageV3.<T>emptyList(java.lang.Class<T>)
com.google.protobuf.GeneratedMessageV3.internalGetMapFieldReflection(int)
Static Fields
public static final int BUDGET_MILLI_NODE_HOURS_FIELD_NUMBER
Field Value |
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Type | Description |
int | |
public static final int DISABLE_EARLY_STOPPING_FIELD_NUMBER
Field Value |
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Type | Description |
int | |
public static final int MODEL_TYPE_FIELD_NUMBER
Field Value |
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Type | Description |
int | |
Static Methods
public static AutoMlImageObjectDetectionInputs getDefaultInstance()
public static final Descriptors.Descriptor getDescriptor()
public static AutoMlImageObjectDetectionInputs.Builder newBuilder()
public static AutoMlImageObjectDetectionInputs.Builder newBuilder(AutoMlImageObjectDetectionInputs prototype)
public static AutoMlImageObjectDetectionInputs parseDelimitedFrom(InputStream input)
public static AutoMlImageObjectDetectionInputs parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static AutoMlImageObjectDetectionInputs parseFrom(byte[] data)
Parameter |
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Name | Description |
data | byte[]
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public static AutoMlImageObjectDetectionInputs parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static AutoMlImageObjectDetectionInputs parseFrom(ByteString data)
public static AutoMlImageObjectDetectionInputs parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static AutoMlImageObjectDetectionInputs parseFrom(CodedInputStream input)
public static AutoMlImageObjectDetectionInputs parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public static AutoMlImageObjectDetectionInputs parseFrom(InputStream input)
public static AutoMlImageObjectDetectionInputs parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static AutoMlImageObjectDetectionInputs parseFrom(ByteBuffer data)
public static AutoMlImageObjectDetectionInputs parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static Parser<AutoMlImageObjectDetectionInputs> parser()
Methods
public boolean equals(Object obj)
Parameter |
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Name | Description |
obj | Object
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Overrides
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;
Returns |
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Type | Description |
long | The budgetMilliNodeHours.
|
public AutoMlImageObjectDetectionInputs getDefaultInstanceForType()
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;
Returns |
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Type | Description |
boolean | The disableEarlyStopping.
|
public AutoMlImageObjectDetectionInputs.ModelType getModelType()
.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;
public int getModelTypeValue()
.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;
Returns |
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Type | Description |
int | The enum numeric value on the wire for modelType.
|
public Parser<AutoMlImageObjectDetectionInputs> getParserForType()
Overrides
public int getSerializedSize()
Returns |
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Type | Description |
int | |
Overrides
Returns |
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Type | Description |
int | |
Overrides
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Overrides
public final boolean isInitialized()
Overrides
public AutoMlImageObjectDetectionInputs.Builder newBuilderForType()
protected AutoMlImageObjectDetectionInputs.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Overrides
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Overrides
public AutoMlImageObjectDetectionInputs.Builder toBuilder()
public void writeTo(CodedOutputStream output)
Overrides