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Collects all samples to double[][] features and double[][] labels,
then calls fit(double[][] features, double[][] labels) to fit
Function<double[][],double[][]>
which makes predictions for multiple features at once.
Caches image embeddings in a map which can be loaded and saved between runs
Uses image digest as caching key
Caches image embeddings in a map which can be loaded and saved between runs
Uses image digest as caching key
Model coordinates (identifier)
Generates an embedding from source.
A predictor which is fitted (trained)
Converts image to text (String).
Caches image embeddings in a map which can be loaded and saved between runs
Uses image digest as caching key
Base interface for interfaces to work with (large language) models.
Converts source to text (String).
Predicts output from input
Computes pair-wise similarity
Index id - item URI and embedding vector index for URIs with multiple vectors/chunks.
TextFloatVectorEmbeddingModel "business" interface focusing on ease of use and leaving
token usage reporting to implementations.
A pre-computed embeddings