Builder for SearcherOptions.
Public Constructors
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Builder()
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Public Methods
| abstract SearcherOptions |
build()
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| abstract SearcherOptions.Builder | |
| abstract SearcherOptions.Builder |
setL2Normalize(boolean l2Normalize)
Sets whether to normalize the embedding feature vector with L2 norm.
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| abstract SearcherOptions.Builder |
setMaxResults(int maxResults)
Sets the maximum number of nearest neighbor results to return.
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| abstract SearcherOptions.Builder |
setQuantize(boolean quantize)
Sets whether the embedding should be quantized to bytes via scalar quantization.
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Inherited Methods
Public Constructors
public Builder ()
Public Methods
public abstract SearcherOptions.Builder setIndexFile (File indexFile)
Sets the index file to search into.
Required if the model does not come with an index file inside. Otherwise, it can be ignore
by setting to null.
Parameters
| indexFile |
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public abstract SearcherOptions.Builder setL2Normalize (boolean l2Normalize)
Sets whether to normalize the embedding feature vector with L2 norm. Defaults to false.
Use this option only if the model does not already contain a native L2_NORMALIZATION TFLite Op. In most cases, this is already the case and L2 norm is thus achieved through TFLite inference.
Parameters
| l2Normalize |
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public abstract SearcherOptions.Builder setMaxResults (int maxResults)
Sets the maximum number of nearest neighbor results to return. Defaults to 5
Parameters
| maxResults |
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public abstract SearcherOptions.Builder setQuantize (boolean quantize)
Sets whether the embedding should be quantized to bytes via scalar quantization. Defaults to false.
Embeddings are implicitly assumed to be unit-norm and therefore any dimension is
guaranteed to have a value in [-1.0, 1.0]. Use the l2_normalize option if this is not
the case.
Parameters
| quantize |
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