FloatVectorValues

This class provides access to per-document floating point vector values indexed as [ ].

Inheritors

Types

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object Companion

Properties

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open override val encoding: VectorEncoding

The vector encoding of these values.

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Functions

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abstract override fun copy(): FloatVectorValues

Creates a new copy of this KnnVectorValues. This is helpful when you need to access different values at once, to avoid overwriting the underlying vector returned.

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abstract fun dimension(): Int

Return the dimension of the vectors

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open fun getAcceptOrds(acceptDocs: Bits?): Bits?

Returns a Bits accepting docs accepted by the argument and having a vector value

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Create an iterator for this instance.

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open fun ordToDoc(ord: Int): Int

Return the docid of the document indexed with the given vector ordinal. This default implementation returns the argument and is appropriate for dense values implementations where every doc has a single value.

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open fun scorer(target: FloatArray): VectorScorer?

Return a VectorScorer for the given query vector and the current [ ].

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abstract fun size(): Int

Return the number of vectors for this field.

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abstract fun vectorValue(ord: Int): FloatArray

Return the vector value for the given vector ordinal which must be in 0, size() - 1, otherwise IndexOutOfBoundsException is thrown. The returned array may be shared across calls.