Class VideoClassificationPredictionParams.Builder (3.0.0)

Version 3.0.0

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public static final class VideoClassificationPredictionParams.Builder extends GeneratedMessageV3.Builder<VideoClassificationPredictionParams.Builder> implements VideoClassificationPredictionParamsOrBuilder

Prediction model parameters for Video Classification.

Protobuf type google.cloud.aiplatform.v1.schema.predict.params.VideoClassificationPredictionParams

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > VideoClassificationPredictionParams.Builder

Implements

VideoClassificationPredictionParamsOrBuilder

Inherited Members

AbstractMessage.Builder.findInitializationErrors()

AbstractMessage.Builder.getInitializationErrorString()

AbstractMessage.Builder.internalMergeFrom(AbstractMessageLite)

AbstractMessage.Builder.mergeFrom(byte[])

AbstractMessage.Builder.mergeFrom(byte[],ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(byte[],int,int)

AbstractMessage.Builder.mergeFrom(byte[],int,int,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(ByteString)

AbstractMessage.Builder.mergeFrom(ByteString,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(CodedInputStream)

AbstractMessage.Builder.mergeFrom(CodedInputStream,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(Message)

AbstractMessage.Builder.mergeFrom(InputStream)

AbstractMessage.Builder.mergeFrom(InputStream,ExtensionRegistryLite)

AbstractMessage.Builder.newUninitializedMessageException(Message)

AbstractMessage.Builder.toString()

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

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

AbstractMessageLite.Builder.internalMergeFrom(MessageType)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream,ExtensionRegistryLite)

AbstractMessageLite.Builder.mergeFrom(MessageLite)

AbstractMessageLite.Builder.newUninitializedMessageException(MessageLite)

GeneratedMessageV3.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.clear()

GeneratedMessageV3.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.clone()

GeneratedMessageV3.Builder.getAllFields()

GeneratedMessageV3.Builder.getDescriptorForType()

GeneratedMessageV3.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.getParentForChildren()

GeneratedMessageV3.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getUnknownFields()

GeneratedMessageV3.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.internalGetFieldAccessorTable()

GeneratedMessageV3.Builder.internalGetMapField(int)

GeneratedMessageV3.Builder.internalGetMutableMapField(int)

GeneratedMessageV3.Builder.isClean()

GeneratedMessageV3.Builder.isInitialized()

GeneratedMessageV3.Builder.markClean()

GeneratedMessageV3.Builder.mergeUnknownFields(UnknownFieldSet)

GeneratedMessageV3.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.onBuilt()

GeneratedMessageV3.Builder.onChanged()

GeneratedMessageV3.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

GeneratedMessageV3.Builder.setUnknownFields(UnknownFieldSet)

GeneratedMessageV3.Builder.setUnknownFieldsProto3(UnknownFieldSet)

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns

Type	Description
Descriptor

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public VideoClassificationPredictionParams.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)

Parameters

Name	Description
field	FieldDescriptor
value	Object

Returns

Type	Description
VideoClassificationPredictionParams.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.addRepeatedField(Descriptors.FieldDescriptor field, Object value)

build()

public VideoClassificationPredictionParams build()

Returns

Type	Description
VideoClassificationPredictionParams

buildPartial()

public VideoClassificationPredictionParams buildPartial()

Returns

Type	Description
VideoClassificationPredictionParams

clear()

public VideoClassificationPredictionParams.Builder clear()

Returns

Type	Description
VideoClassificationPredictionParams.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearConfidenceThreshold()

public VideoClassificationPredictionParams.Builder clearConfidenceThreshold()

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

float confidence_threshold = 1;

Returns

Type	Description
VideoClassificationPredictionParams.Builder	This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public VideoClassificationPredictionParams.Builder clearField(Descriptors.FieldDescriptor field)

Parameter

Name	Description
field	FieldDescriptor

Returns

Type	Description
VideoClassificationPredictionParams.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearField(Descriptors.FieldDescriptor field)

clearMaxPredictions()

public VideoClassificationPredictionParams.Builder clearMaxPredictions()

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 10,000.

int32 max_predictions = 2;

Returns

Type	Description
VideoClassificationPredictionParams.Builder	This builder for chaining.

clearOneSecIntervalClassification()

public VideoClassificationPredictionParams.Builder clearOneSecIntervalClassification()

Set to true to request classification for a video at one-second intervals. Vertex AI returns labels and their confidence scores for each second of the entire time segment of the video that user specified in the input WARNING: Model evaluation is not done for this classification type, the quality of it depends on the training data, but there are no metrics provided to describe that quality. Default value is false

bool one_sec_interval_classification = 5;

Returns

Type	Description
VideoClassificationPredictionParams.Builder	This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public VideoClassificationPredictionParams.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter

Name	Description
oneof	OneofDescriptor

Returns

Type	Description
VideoClassificationPredictionParams.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearOneof(Descriptors.OneofDescriptor oneof)

clearSegmentClassification()

public VideoClassificationPredictionParams.Builder clearSegmentClassification()

Set to true to request segment-level classification. Vertex AI returns labels and their confidence scores for the entire time segment of the video that user specified in the input instance. Default value is true

bool segment_classification = 3;

Returns

Type	Description
VideoClassificationPredictionParams.Builder	This builder for chaining.

clearShotClassification()

public VideoClassificationPredictionParams.Builder clearShotClassification()

Set to true to request shot-level classification. Vertex AI determines the boundaries for each camera shot in the entire time segment of the video that user specified in the input instance. Vertex AI then returns labels and their confidence scores for each detected shot, along with the start and end time of the shot. WARNING: Model evaluation is not done for this classification type, the quality of it depends on the training data, but there are no metrics provided to describe that quality. Default value is false

bool shot_classification = 4;

Returns

Type	Description
VideoClassificationPredictionParams.Builder	This builder for chaining.

clone()

public VideoClassificationPredictionParams.Builder clone()

Returns

Type	Description
VideoClassificationPredictionParams.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

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

Type	Description
float	The confidenceThreshold.

getDefaultInstanceForType()

public VideoClassificationPredictionParams getDefaultInstanceForType()

Returns

Type	Description
VideoClassificationPredictionParams

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns

Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

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 10,000.

int32 max_predictions = 2;

Returns

Type	Description
int	The maxPredictions.

getOneSecIntervalClassification()

public boolean getOneSecIntervalClassification()

Set to true to request classification for a video at one-second intervals. Vertex AI returns labels and their confidence scores for each second of the entire time segment of the video that user specified in the input WARNING: Model evaluation is not done for this classification type, the quality of it depends on the training data, but there are no metrics provided to describe that quality. Default value is false

bool one_sec_interval_classification = 5;

Returns

Type	Description
boolean	The oneSecIntervalClassification.

getSegmentClassification()

public boolean getSegmentClassification()

Set to true to request segment-level classification. Vertex AI returns labels and their confidence scores for the entire time segment of the video that user specified in the input instance. Default value is true

bool segment_classification = 3;

Returns

Type	Description
boolean	The segmentClassification.

getShotClassification()

public boolean getShotClassification()

Set to true to request shot-level classification. Vertex AI determines the boundaries for each camera shot in the entire time segment of the video that user specified in the input instance. Vertex AI then returns labels and their confidence scores for each detected shot, along with the start and end time of the shot. WARNING: Model evaluation is not done for this classification type, the quality of it depends on the training data, but there are no metrics provided to describe that quality. Default value is false

bool shot_classification = 4;

Returns

Type	Description
boolean	The shotClassification.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns

Type	Description
FieldAccessorTable

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns

Type	Description
boolean

Overrides

GeneratedMessageV3.Builder<BuilderType>.isInitialized()

mergeFrom(VideoClassificationPredictionParams other)

public VideoClassificationPredictionParams.Builder mergeFrom(VideoClassificationPredictionParams other)

Parameter

Name	Description
other	VideoClassificationPredictionParams

Returns

Type	Description
VideoClassificationPredictionParams.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public VideoClassificationPredictionParams.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters

Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns

Type	Description
VideoClassificationPredictionParams.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Exceptions

Type	Description
IOException

mergeFrom(Message other)

public VideoClassificationPredictionParams.Builder mergeFrom(Message other)

Parameter

Name	Description
other	Message

Returns

Type	Description
VideoClassificationPredictionParams.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(Message other)

mergeUnknownFields(UnknownFieldSet unknownFields)

public final VideoClassificationPredictionParams.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter

Name	Description
unknownFields	UnknownFieldSet

Returns

Type	Description
VideoClassificationPredictionParams.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.mergeUnknownFields(UnknownFieldSet unknownFields)

setConfidenceThreshold(float value)

public VideoClassificationPredictionParams.Builder setConfidenceThreshold(float value)

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

float confidence_threshold = 1;

Parameter

Name	Description
value	float The confidenceThreshold to set.

Returns

Type	Description
VideoClassificationPredictionParams.Builder	This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

public VideoClassificationPredictionParams.Builder setField(Descriptors.FieldDescriptor field, Object value)

Parameters

Name	Description
field	FieldDescriptor
value	Object

Returns

Type	Description
VideoClassificationPredictionParams.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setField(Descriptors.FieldDescriptor field, Object value)

setMaxPredictions(int value)

public VideoClassificationPredictionParams.Builder setMaxPredictions(int value)

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 10,000.

int32 max_predictions = 2;

Parameter

Name	Description
value	int The maxPredictions to set.

Returns

Type	Description
VideoClassificationPredictionParams.Builder	This builder for chaining.

setOneSecIntervalClassification(boolean value)

public VideoClassificationPredictionParams.Builder setOneSecIntervalClassification(boolean value)

Set to true to request classification for a video at one-second intervals. Vertex AI returns labels and their confidence scores for each second of the entire time segment of the video that user specified in the input WARNING: Model evaluation is not done for this classification type, the quality of it depends on the training data, but there are no metrics provided to describe that quality. Default value is false

bool one_sec_interval_classification = 5;

Parameter

Name	Description
value	boolean The oneSecIntervalClassification to set.

Returns

Type	Description
VideoClassificationPredictionParams.Builder	This builder for chaining.

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public VideoClassificationPredictionParams.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

Parameters

Name	Description
field	FieldDescriptor
index	int
value	Object

Returns

Type	Description
VideoClassificationPredictionParams.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

setSegmentClassification(boolean value)

public VideoClassificationPredictionParams.Builder setSegmentClassification(boolean value)

Set to true to request segment-level classification. Vertex AI returns labels and their confidence scores for the entire time segment of the video that user specified in the input instance. Default value is true

bool segment_classification = 3;

Parameter

Name	Description
value	boolean The segmentClassification to set.

Returns

Type	Description
VideoClassificationPredictionParams.Builder	This builder for chaining.

setShotClassification(boolean value)

public VideoClassificationPredictionParams.Builder setShotClassification(boolean value)

Set to true to request shot-level classification. Vertex AI determines the boundaries for each camera shot in the entire time segment of the video that user specified in the input instance. Vertex AI then returns labels and their confidence scores for each detected shot, along with the start and end time of the shot. WARNING: Model evaluation is not done for this classification type, the quality of it depends on the training data, but there are no metrics provided to describe that quality. Default value is false

bool shot_classification = 4;

Parameter

Name	Description
value	boolean The shotClassification to set.

Returns

Type	Description
VideoClassificationPredictionParams.Builder	This builder for chaining.

setUnknownFields(UnknownFieldSet unknownFields)

public final VideoClassificationPredictionParams.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter

Name	Description
unknownFields	UnknownFieldSet

Returns

Type	Description
VideoClassificationPredictionParams.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setUnknownFields(UnknownFieldSet unknownFields)