Class ImageObjectDetectionModelMetadata (2.31.0)

public final class ImageObjectDetectionModelMetadata extends GeneratedMessageV3 implements ImageObjectDetectionModelMetadataOrBuilder

Model metadata specific to image object detection.

Protobuf type google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata

Inheritance

Object > AbstractMessageLite<MessageType,BuilderType> > AbstractMessage > GeneratedMessageV3 > ImageObjectDetectionModelMetadata

Implements

ImageObjectDetectionModelMetadataOrBuilder

Inherited Members

AbstractMessage.equals(Object)

AbstractMessage.findInitializationErrors()

AbstractMessage.getInitializationErrorString()

AbstractMessage.hashBoolean(boolean)

AbstractMessage.hashCode()

AbstractMessage.hashEnum(Internal.EnumLite)

AbstractMessage.hashEnumList(List<? extends Internal.EnumLite>)

AbstractMessage.hashFields(int,Map<Descriptors.FieldDescriptor,Object>)

AbstractMessage.hashLong(long)

AbstractMessage.toString()

AbstractMessageLite.<T>addAll(Iterable<T>,Collection<? super T>)

AbstractMessageLite.<T>addAll(Iterable<T>,List<? super T>)

AbstractMessageLite.checkByteStringIsUtf8(ByteString)

AbstractMessageLite.toByteArray()

AbstractMessageLite.toByteString()

AbstractMessageLite.writeDelimitedTo(OutputStream)

AbstractMessageLite.writeTo(OutputStream)

com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT)

com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT,int)

GeneratedMessageV3.<M>parseDelimitedWithIOException(Parser<M>,InputStream)

GeneratedMessageV3.<M>parseDelimitedWithIOException(Parser<M>,InputStream,ExtensionRegistryLite)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,CodedInputStream)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,CodedInputStream,ExtensionRegistryLite)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,InputStream)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,InputStream,ExtensionRegistryLite)

com.google.protobuf.GeneratedMessageV3.<T>emptyList(java.lang.Class<T>)

GeneratedMessageV3.<V>serializeBooleanMapTo(CodedOutputStream,MapField<Boolean,V>,MapEntry<Boolean,V>,int)

GeneratedMessageV3.<V>serializeIntegerMapTo(CodedOutputStream,MapField<Integer,V>,MapEntry<Integer,V>,int)

GeneratedMessageV3.<V>serializeLongMapTo(CodedOutputStream,MapField<Long,V>,MapEntry<Long,V>,int)

GeneratedMessageV3.<V>serializeStringMapTo(CodedOutputStream,MapField<String,V>,MapEntry<String,V>,int)

GeneratedMessageV3.canUseUnsafe()

GeneratedMessageV3.computeStringSize(int,Object)

GeneratedMessageV3.computeStringSizeNoTag(Object)

GeneratedMessageV3.emptyBooleanList()

GeneratedMessageV3.emptyDoubleList()

GeneratedMessageV3.emptyFloatList()

GeneratedMessageV3.emptyIntList()

GeneratedMessageV3.emptyLongList()

GeneratedMessageV3.getAllFields()

GeneratedMessageV3.getDescriptorForType()

GeneratedMessageV3.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.getParserForType()

GeneratedMessageV3.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.getRepeatedFieldCount(Descriptors.FieldDescriptor)

GeneratedMessageV3.getSerializedSize()

GeneratedMessageV3.getUnknownFields()

GeneratedMessageV3.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.internalGetFieldAccessorTable()

GeneratedMessageV3.internalGetMapField(int)

com.google.protobuf.GeneratedMessageV3.internalGetMapFieldReflection(int)

GeneratedMessageV3.isInitialized()

GeneratedMessageV3.isStringEmpty(Object)

GeneratedMessageV3.makeExtensionsImmutable()

GeneratedMessageV3.mergeFromAndMakeImmutableInternal(CodedInputStream,ExtensionRegistryLite)

GeneratedMessageV3.mutableCopy(Internal.BooleanList)

GeneratedMessageV3.mutableCopy(Internal.DoubleList)

GeneratedMessageV3.mutableCopy(Internal.FloatList)

GeneratedMessageV3.mutableCopy(Internal.IntList)

GeneratedMessageV3.mutableCopy(Internal.LongList)

GeneratedMessageV3.newBooleanList()

GeneratedMessageV3.newBuilderForType(AbstractMessage.BuilderParent)

GeneratedMessageV3.newBuilderForType(GeneratedMessageV3.BuilderParent)

GeneratedMessageV3.newDoubleList()

GeneratedMessageV3.newFloatList()

GeneratedMessageV3.newInstance(GeneratedMessageV3.UnusedPrivateParameter)

GeneratedMessageV3.newIntList()

GeneratedMessageV3.newLongList()

GeneratedMessageV3.parseUnknownField(CodedInputStream,UnknownFieldSet.Builder,ExtensionRegistryLite,int)

GeneratedMessageV3.parseUnknownFieldProto3(CodedInputStream,UnknownFieldSet.Builder,ExtensionRegistryLite,int)

GeneratedMessageV3.writeReplace()

GeneratedMessageV3.writeString(CodedOutputStream,int,Object)

GeneratedMessageV3.writeStringNoTag(CodedOutputStream,Object)

GeneratedMessageV3.writeTo(CodedOutputStream)

Object.clone()

Object.finalize()

Object.getClass()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Fields

MODEL_TYPE_FIELD_NUMBER

public static final int MODEL_TYPE_FIELD_NUMBER

Field Value
Type	Description
`int`

NODE_COUNT_FIELD_NUMBER

public static final int NODE_COUNT_FIELD_NUMBER

Field Value
Type	Description
`int`

NODE_QPS_FIELD_NUMBER

public static final int NODE_QPS_FIELD_NUMBER

Field Value
Type	Description
`int`

STOP_REASON_FIELD_NUMBER

public static final int STOP_REASON_FIELD_NUMBER

Field Value
Type	Description
`int`

TRAIN_BUDGET_MILLI_NODE_HOURS_FIELD_NUMBER

public static final int TRAIN_BUDGET_MILLI_NODE_HOURS_FIELD_NUMBER

Field Value
Type	Description
`int`

TRAIN_COST_MILLI_NODE_HOURS_FIELD_NUMBER

public static final int TRAIN_COST_MILLI_NODE_HOURS_FIELD_NUMBER

Field Value
Type	Description
`int`

Static Methods

getDefaultInstance()

public static ImageObjectDetectionModelMetadata getDefaultInstance()

Returns
Type	Description
`ImageObjectDetectionModelMetadata`

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
`Descriptor`

newBuilder()

public static ImageObjectDetectionModelMetadata.Builder newBuilder()

Returns
Type	Description
`ImageObjectDetectionModelMetadata.Builder`

newBuilder(ImageObjectDetectionModelMetadata prototype)

public static ImageObjectDetectionModelMetadata.Builder newBuilder(ImageObjectDetectionModelMetadata prototype)

Parameter
Name	Description
`prototype`	`ImageObjectDetectionModelMetadata`

Returns
Type	Description
`ImageObjectDetectionModelMetadata.Builder`

parseDelimitedFrom(InputStream input)

public static ImageObjectDetectionModelMetadata parseDelimitedFrom(InputStream input)

Parameter
Name	Description
`input`	`InputStream`

Returns
Type	Description
`ImageObjectDetectionModelMetadata`

Exceptions
Type	Description
`IOException`

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static ImageObjectDetectionModelMetadata parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
`input`	`InputStream`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`ImageObjectDetectionModelMetadata`

Exceptions
Type	Description
`IOException`

parseFrom(byte[] data)

public static ImageObjectDetectionModelMetadata parseFrom(byte[] data)

Parameter
Name	Description
`data`	`byte[]`

Returns
Type	Description
`ImageObjectDetectionModelMetadata`

Exceptions
Type	Description
`InvalidProtocolBufferException`

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static ImageObjectDetectionModelMetadata parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
`data`	`byte[]`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`ImageObjectDetectionModelMetadata`

Exceptions
Type	Description
`InvalidProtocolBufferException`

parseFrom(ByteString data)

public static ImageObjectDetectionModelMetadata parseFrom(ByteString data)

Parameter
Name	Description
`data`	`ByteString`

Returns
Type	Description
`ImageObjectDetectionModelMetadata`

Exceptions
Type	Description
`InvalidProtocolBufferException`

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static ImageObjectDetectionModelMetadata parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
`data`	`ByteString`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`ImageObjectDetectionModelMetadata`

Exceptions
Type	Description
`InvalidProtocolBufferException`

parseFrom(CodedInputStream input)

public static ImageObjectDetectionModelMetadata parseFrom(CodedInputStream input)

Parameter
Name	Description
`input`	`CodedInputStream`

Returns
Type	Description
`ImageObjectDetectionModelMetadata`

Exceptions
Type	Description
`IOException`

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static ImageObjectDetectionModelMetadata parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
`input`	`CodedInputStream`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`ImageObjectDetectionModelMetadata`

Exceptions
Type	Description
`IOException`

parseFrom(InputStream input)

public static ImageObjectDetectionModelMetadata parseFrom(InputStream input)

Parameter
Name	Description
`input`	`InputStream`

Returns
Type	Description
`ImageObjectDetectionModelMetadata`

Exceptions
Type	Description
`IOException`

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static ImageObjectDetectionModelMetadata parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
`input`	`InputStream`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`ImageObjectDetectionModelMetadata`

Exceptions
Type	Description
`IOException`

parseFrom(ByteBuffer data)

public static ImageObjectDetectionModelMetadata parseFrom(ByteBuffer data)

Parameter
Name	Description
`data`	`ByteBuffer`

Returns
Type	Description
`ImageObjectDetectionModelMetadata`

Exceptions
Type	Description
`InvalidProtocolBufferException`

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static ImageObjectDetectionModelMetadata parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
`data`	`ByteBuffer`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`ImageObjectDetectionModelMetadata`

Exceptions
Type	Description
`InvalidProtocolBufferException`

parser()

public static Parser<ImageObjectDetectionModelMetadata> parser()

Returns
Type	Description
`Parser<ImageObjectDetectionModelMetadata>`

Methods

equals(Object obj)

public boolean equals(Object obj)

Parameter
Name	Description
`obj`	`Object`

Returns
Type	Description
`boolean`

Overrides

AbstractMessage.equals(Object other)

getDefaultInstanceForType()

public ImageObjectDetectionModelMetadata getDefaultInstanceForType()

Returns
Type	Description
`ImageObjectDetectionModelMetadata`

getModelType()

public String getModelType()

Optional. Type of the model. The available values are:

cloud-high-accuracy-1 - (default) A model to be used via prediction calls to AutoML API. Expected to have a higher latency, but should also have a higher prediction quality than other models.
cloud-low-latency-1 - A model to be used via prediction calls to AutoML API. Expected to have low latency, but may have lower prediction quality than other models.
mobile-low-latency-1 - A model that, in addition to providing prediction via AutoML API, can also be exported (see AutoMl.ExportModel) and used on a mobile or edge device with TensorFlow afterwards. Expected to have low latency, but may have lower prediction quality than other models.
mobile-versatile-1 - A model that, in addition to providing prediction via AutoML API, can also be exported (see AutoMl.ExportModel) and used on a mobile or edge device with TensorFlow afterwards.
mobile-high-accuracy-1 - A model that, in addition to providing prediction via AutoML API, can also be exported (see AutoMl.ExportModel) and used on a mobile or edge device with TensorFlow afterwards. Expected to have a higher latency, but should also have a higher prediction quality than other models.

string model_type = 1;

Returns
Type	Description
`String`	The modelType.

getModelTypeBytes()

public ByteString getModelTypeBytes()

Optional. Type of the model. The available values are:

cloud-high-accuracy-1 - (default) A model to be used via prediction calls to AutoML API. Expected to have a higher latency, but should also have a higher prediction quality than other models.
cloud-low-latency-1 - A model to be used via prediction calls to AutoML API. Expected to have low latency, but may have lower prediction quality than other models.
mobile-low-latency-1 - A model that, in addition to providing prediction via AutoML API, can also be exported (see AutoMl.ExportModel) and used on a mobile or edge device with TensorFlow afterwards. Expected to have low latency, but may have lower prediction quality than other models.
mobile-versatile-1 - A model that, in addition to providing prediction via AutoML API, can also be exported (see AutoMl.ExportModel) and used on a mobile or edge device with TensorFlow afterwards.
mobile-high-accuracy-1 - A model that, in addition to providing prediction via AutoML API, can also be exported (see AutoMl.ExportModel) and used on a mobile or edge device with TensorFlow afterwards. Expected to have a higher latency, but should also have a higher prediction quality than other models.

string model_type = 1;

Returns
Type	Description
`ByteString`	The bytes for modelType.

getNodeCount()

public long getNodeCount()

Output only. The number of nodes this model is deployed on. A node is an abstraction of a machine resource, which can handle online prediction QPS as given in the qps_per_node field.

int64 node_count = 3;

Returns
Type	Description
`long`	The nodeCount.

getNodeQps()

public double getNodeQps()

Output only. An approximate number of online prediction QPS that can be supported by this model per each node on which it is deployed.

double node_qps = 4;

Returns
Type	Description
`double`	The nodeQps.

getParserForType()

public Parser<ImageObjectDetectionModelMetadata> getParserForType()

Returns
Type	Description
`Parser<ImageObjectDetectionModelMetadata>`

Overrides

GeneratedMessageV3.getParserForType()

getSerializedSize()

public int getSerializedSize()

Returns
Type	Description
`int`

Overrides

GeneratedMessageV3.getSerializedSize()

getStopReason()

public String getStopReason()

Output only. The reason that this create model operation stopped, e.g. BUDGET_REACHED, MODEL_CONVERGED.

string stop_reason = 5;

Returns
Type	Description
`String`	The stopReason.

getStopReasonBytes()

public ByteString getStopReasonBytes()

Output only. The reason that this create model operation stopped, e.g. BUDGET_REACHED, MODEL_CONVERGED.

string stop_reason = 5;

Returns
Type	Description
`ByteString`	The bytes for stopReason.

getTrainBudgetMilliNodeHours()

public long getTrainBudgetMilliNodeHours()

The train budget of creating this model, expressed in milli node hours i.e. 1,000 value in this field means 1 node hour. The actual train_cost will be equal or less than this value. If further model training ceases to provide any improvements, it will stop without using full budget and the stop_reason will be MODEL_CONVERGED. Note, node_hour = actual_hour * number_of_nodes_invovled. For model type cloud-high-accuracy-1(default) and cloud-low-latency-1, the train 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. For model type mobile-low-latency-1, mobile-versatile-1, mobile-high-accuracy-1, mobile-core-ml-low-latency-1, mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1, the train 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.

int64 train_budget_milli_node_hours = 6;

Returns
Type	Description
`long`	The trainBudgetMilliNodeHours.

getTrainCostMilliNodeHours()

public long getTrainCostMilliNodeHours()

Output only. The actual train cost of creating this model, expressed in milli node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed to not exceed the train budget.

int64 train_cost_milli_node_hours = 7;

Returns
Type	Description
`long`	The trainCostMilliNodeHours.

hashCode()

public int hashCode()

Returns
Type	Description
`int`

Overrides

AbstractMessage.hashCode()

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
`FieldAccessorTable`

Overrides

GeneratedMessageV3.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
`boolean`

Overrides

GeneratedMessageV3.isInitialized()

newBuilderForType()

public ImageObjectDetectionModelMetadata.Builder newBuilderForType()

Returns
Type	Description
`ImageObjectDetectionModelMetadata.Builder`

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected ImageObjectDetectionModelMetadata.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)

Parameter
Name	Description
`parent`	`BuilderParent`

Returns
Type	Description
`ImageObjectDetectionModelMetadata.Builder`

Overrides

GeneratedMessageV3.newBuilderForType(GeneratedMessageV3.BuilderParent parent)

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

Parameter
Name	Description
`unused`	`UnusedPrivateParameter`

Returns
Type	Description
`Object`

Overrides

GeneratedMessageV3.newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

toBuilder()

public ImageObjectDetectionModelMetadata.Builder toBuilder()

Returns
Type	Description
`ImageObjectDetectionModelMetadata.Builder`

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)

Parameter
Name	Description
`output`	`CodedOutputStream`

Overrides

GeneratedMessageV3.writeTo(CodedOutputStream output)

Exceptions
Type	Description
`IOException`