Package com.hashicorp.cdktf.providers.google.vertex_ai_index

Class VertexAiIndexMetadataConfig.Jsii$Proxy

java.lang.Object

software.amazon.jsii.JsiiObject

com.hashicorp.cdktf.providers.google.vertex_ai_index.VertexAiIndexMetadataConfig.Jsii$Proxy

All Implemented Interfaces:

VertexAiIndexMetadataConfig, software.amazon.jsii.JsiiSerializable

Enclosing interface:

VertexAiIndexMetadataConfig

@Stability(Stable)
@Internal
public static final class VertexAiIndexMetadataConfig.Jsii$Proxy
extends software.amazon.jsii.JsiiObject
implements VertexAiIndexMetadataConfig

An implementation for VertexAiIndexMetadataConfig

Nested Class Summary

Nested classes/interfaces inherited from class software.amazon.jsii.JsiiObject

software.amazon.jsii.JsiiObject.InitializationMode

Nested classes/interfaces inherited from interface com.hashicorp.cdktf.providers.google.vertex_ai_index.VertexAiIndexMetadataConfig

VertexAiIndexMetadataConfig.Builder, VertexAiIndexMetadataConfig.Jsii$Proxy

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	Jsii$Proxy(VertexAiIndexMetadataConfig.Builder builder)	Constructor that initializes the object based on literal property values passed by the VertexAiIndexMetadataConfig.Builder.
protected	Jsii$Proxy(software.amazon.jsii.JsiiObjectRef objRef)	Constructor that initializes the object based on values retrieved from the JsiiObject.

Method Summary

Modifier and Type	Method	Description
com.fasterxml.jackson.databind.JsonNode	$jsii$toJson()
boolean	equals(Object o)
VertexAiIndexMetadataConfigAlgorithmConfig	getAlgorithmConfig()	algorithm_config block.
Number	getApproximateNeighborsCount()	The default number of neighbors to find via approximate search before exact reordering is performed.
Number	getDimensions()	The number of dimensions of the input vectors.
String	getDistanceMeasureType()	The distance measure used in nearest neighbor search.
String	getFeatureNormType()	Type of normalization to be carried out on each vector.
String	getShardSize()	Index data is split into equal parts to be processed.
int	hashCode()

Methods inherited from class software.amazon.jsii.JsiiObject

jsiiAsyncCall, jsiiAsyncCall, jsiiCall, jsiiCall, jsiiGet, jsiiGet, jsiiSet, jsiiStaticCall, jsiiStaticCall, jsiiStaticGet, jsiiStaticGet, jsiiStaticSet, jsiiStaticSet

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Jsii$Proxy

protected Jsii$Proxy(software.amazon.jsii.JsiiObjectRef objRef)

Constructor that initializes the object based on values retrieved from the JsiiObject.

Parameters:

objRef - Reference to the JSII managed object.

Jsii$Proxy

protected Jsii$Proxy(VertexAiIndexMetadataConfig.Builder builder)

Constructor that initializes the object based on literal property values passed by the VertexAiIndexMetadataConfig.Builder.

Method Detail

getDimensions

public final Number getDimensions()

Description copied from interface: VertexAiIndexMetadataConfig

The number of dimensions of the input vectors.

Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/5.43.1/docs/resources/vertex_ai_index#dimensions VertexAiIndex#dimensions}

Specified by:

getDimensions in interface VertexAiIndexMetadataConfig

getAlgorithmConfig

public final VertexAiIndexMetadataConfigAlgorithmConfig getAlgorithmConfig()

Description copied from interface: VertexAiIndexMetadataConfig

algorithm_config block.

Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/5.43.1/docs/resources/vertex_ai_index#algorithm_config VertexAiIndex#algorithm_config}

Specified by:

getAlgorithmConfig in interface VertexAiIndexMetadataConfig

getApproximateNeighborsCount

public final Number getApproximateNeighborsCount()

Description copied from interface: VertexAiIndexMetadataConfig

The default number of neighbors to find via approximate search before exact reordering is performed.

Exact reordering is a procedure where results returned by an approximate search algorithm are reordered via a more expensive distance computation. Required if tree-AH algorithm is used. Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/5.43.1/docs/resources/vertex_ai_index#approximate_neighbors_count VertexAiIndex#approximate_neighbors_count}

Specified by:

getApproximateNeighborsCount in interface VertexAiIndexMetadataConfig

getDistanceMeasureType

public final String getDistanceMeasureType()

Description copied from interface: VertexAiIndexMetadataConfig

The distance measure used in nearest neighbor search.

The value must be one of the followings: * SQUARED_L2_DISTANCE: Euclidean (L_2) Distance * L1_DISTANCE: Manhattan (L_1) Distance * COSINE_DISTANCE: Cosine Distance. Defined as 1 - cosine similarity. * DOT_PRODUCT_DISTANCE: Dot Product Distance. Defined as a negative of the dot product Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/5.43.1/docs/resources/vertex_ai_index#distance_measure_type VertexAiIndex#distance_measure_type}

Specified by:

getDistanceMeasureType in interface VertexAiIndexMetadataConfig

getFeatureNormType

public final String getFeatureNormType()

Description copied from interface: VertexAiIndexMetadataConfig

Type of normalization to be carried out on each vector.

The value must be one of the followings: * UNIT_L2_NORM: Unit L2 normalization type * NONE: No normalization type is specified. Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/5.43.1/docs/resources/vertex_ai_index#feature_norm_type VertexAiIndex#feature_norm_type}

Specified by:

getFeatureNormType in interface VertexAiIndexMetadataConfig

getShardSize

public final String getShardSize()

Description copied from interface: VertexAiIndexMetadataConfig

Index data is split into equal parts to be processed.

These are called "shards". The shard size must be specified when creating an index. The value must be one of the followings: * SHARD_SIZE_SMALL: Small (2GB) * SHARD_SIZE_MEDIUM: Medium (20GB) * SHARD_SIZE_LARGE: Large (50GB) Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/5.43.1/docs/resources/vertex_ai_index#shard_size VertexAiIndex#shard_size}

Specified by:

getShardSize in interface VertexAiIndexMetadataConfig

$jsii$toJson

@Internal
public com.fasterxml.jackson.databind.JsonNode $jsii$toJson()

Specified by:

$jsii$toJson in interface software.amazon.jsii.JsiiSerializable

equals

public final boolean equals(Object o)

Overrides:

equals in class Object

hashCode

public final int hashCode()

Overrides:

hashCode in class Object