pulumi-gcp-kotlin/com.pulumi.gcp.vertex.kotlin.inputs/AiIndexMetadataConfigArgs

AiIndexMetadataConfigArgs

data class AiIndexMetadataConfigArgs(val algorithmConfig: Output<AiIndexMetadataConfigAlgorithmConfigArgs>? = null, val approximateNeighborsCount: Output<Int>? = null, val dimensions: Output<Int>, val distanceMeasureType: Output<String>? = null, val featureNormType: Output<String>? = null) : ConvertibleToJava<AiIndexMetadataConfigArgs>

Constructors

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fun AiIndexMetadataConfigArgs(algorithmConfig: Output<AiIndexMetadataConfigAlgorithmConfigArgs>? = null, approximateNeighborsCount: Output<Int>? = null, dimensions: Output<Int>, distanceMeasureType: Output<String>? = null, featureNormType: Output<String>? = null)

Functions

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open override fun toJava(): AiIndexMetadataConfigArgs

Properties

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val algorithmConfig: Output<AiIndexMetadataConfigAlgorithmConfigArgs>? = null

The configuration with regard to the algorithms used for efficient search. Structure is documented below.

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val approximateNeighborsCount: Output<Int>? = null

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.

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val dimensions: Output<Int>

The number of dimensions of the input vectors.

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val distanceMeasureType: Output<String>? = null

The distance measure used in nearest neighbor search. The value must be one of the followings:

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val featureNormType: Output<String>? = null

Type of normalization to be carried out on each vector. The value must be one of the followings: