Class ImageClassificationPredictionParams (3.29.0)

public final class ImageClassificationPredictionParams extends GeneratedMessageV3 implements ImageClassificationPredictionParamsOrBuilder

Prediction model parameters for Image Classification.

Protobuf type google.cloud.aiplatform.v1beta1.schema.predict.params.ImageClassificationPredictionParams

Inheritance

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

Static Fields

CONFIDENCE_THRESHOLD_FIELD_NUMBER

public static final int CONFIDENCE_THRESHOLD_FIELD_NUMBER
Field Value
TypeDescription
int

MAX_PREDICTIONS_FIELD_NUMBER

public static final int MAX_PREDICTIONS_FIELD_NUMBER
Field Value
TypeDescription
int

Static Methods

getDefaultInstance()

public static ImageClassificationPredictionParams getDefaultInstance()
Returns
TypeDescription
ImageClassificationPredictionParams

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
TypeDescription
Descriptor

newBuilder()

public static ImageClassificationPredictionParams.Builder newBuilder()
Returns
TypeDescription
ImageClassificationPredictionParams.Builder

newBuilder(ImageClassificationPredictionParams prototype)

public static ImageClassificationPredictionParams.Builder newBuilder(ImageClassificationPredictionParams prototype)
Parameter
NameDescription
prototypeImageClassificationPredictionParams
Returns
TypeDescription
ImageClassificationPredictionParams.Builder

parseDelimitedFrom(InputStream input)

public static ImageClassificationPredictionParams parseDelimitedFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Returns
TypeDescription
ImageClassificationPredictionParams
Exceptions
TypeDescription
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static ImageClassificationPredictionParams parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
ImageClassificationPredictionParams
Exceptions
TypeDescription
IOException

parseFrom(byte[] data)

public static ImageClassificationPredictionParams parseFrom(byte[] data)
Parameter
NameDescription
databyte[]
Returns
TypeDescription
ImageClassificationPredictionParams
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static ImageClassificationPredictionParams parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
databyte[]
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
ImageClassificationPredictionParams
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data)

public static ImageClassificationPredictionParams parseFrom(ByteString data)
Parameter
NameDescription
dataByteString
Returns
TypeDescription
ImageClassificationPredictionParams
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static ImageClassificationPredictionParams parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
dataByteString
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
ImageClassificationPredictionParams
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static ImageClassificationPredictionParams parseFrom(CodedInputStream input)
Parameter
NameDescription
inputCodedInputStream
Returns
TypeDescription
ImageClassificationPredictionParams
Exceptions
TypeDescription
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static ImageClassificationPredictionParams parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputCodedInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
ImageClassificationPredictionParams
Exceptions
TypeDescription
IOException

parseFrom(InputStream input)

public static ImageClassificationPredictionParams parseFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Returns
TypeDescription
ImageClassificationPredictionParams
Exceptions
TypeDescription
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static ImageClassificationPredictionParams parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
ImageClassificationPredictionParams
Exceptions
TypeDescription
IOException

parseFrom(ByteBuffer data)

public static ImageClassificationPredictionParams parseFrom(ByteBuffer data)
Parameter
NameDescription
dataByteBuffer
Returns
TypeDescription
ImageClassificationPredictionParams
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static ImageClassificationPredictionParams parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
dataByteBuffer
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
ImageClassificationPredictionParams
Exceptions
TypeDescription
InvalidProtocolBufferException

parser()

public static Parser<ImageClassificationPredictionParams> parser()
Returns
TypeDescription
Parser<ImageClassificationPredictionParams>

Methods

equals(Object obj)

public boolean equals(Object obj)
Parameter
NameDescription
objObject
Returns
TypeDescription
boolean
Overrides

getConfidenceThreshold()

public float getConfidenceThreshold()

The Model only returns predictions with at least this confidence score. Default value is 0.0

float confidence_threshold = 1;

Returns
TypeDescription
float

The confidenceThreshold.

getDefaultInstanceForType()

public ImageClassificationPredictionParams getDefaultInstanceForType()
Returns
TypeDescription
ImageClassificationPredictionParams

getMaxPredictions()

public int getMaxPredictions()

The Model only returns up to that many top, by confidence score, predictions per instance. If this number is very high, the Model may return fewer predictions. Default value is 10.

int32 max_predictions = 2;

Returns
TypeDescription
int

The maxPredictions.

getParserForType()

public Parser<ImageClassificationPredictionParams> getParserForType()
Returns
TypeDescription
Parser<ImageClassificationPredictionParams>
Overrides

getSerializedSize()

public int getSerializedSize()
Returns
TypeDescription
int
Overrides

hashCode()

public int hashCode()
Returns
TypeDescription
int
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

newBuilderForType()

public ImageClassificationPredictionParams.Builder newBuilderForType()
Returns
TypeDescription
ImageClassificationPredictionParams.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected ImageClassificationPredictionParams.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
NameDescription
parentBuilderParent
Returns
TypeDescription
ImageClassificationPredictionParams.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
NameDescription
unusedUnusedPrivateParameter
Returns
TypeDescription
Object
Overrides

toBuilder()

public ImageClassificationPredictionParams.Builder toBuilder()
Returns
TypeDescription
ImageClassificationPredictionParams.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
NameDescription
outputCodedOutputStream
Overrides
Exceptions
TypeDescription
IOException