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Builds the index using the specified training configuration. Required before efficient querying. Prior to calling this, all queries will be conducted using encrypted exhaustive search. After, they will be conducted using encrypted ANN search. 
void TrainIndex(const TrainingConfig& training_config = TrainingConfig());

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Parameters

ParameterTypeDescription
training_configTrainingConfig(Optional) Training parameters including n_lists, batch size, max iterations, tolerance, and max memory.
There must be at least 2 * n_lists or 10,000 (whichever is greater) vector embeddings in the index prior to calling this function. The n_lists parameter is configured within the TrainingConfig object.

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Exceptions

Throws if there are not enough vector embeddings in the index for training (must be at least 2 * n_lists).
  • Throws if there are not enough vector embeddings in the index for training (must be at least 2 * n_lists).
  • Throws if the index could not be trained.

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Example Usage

// TrainingConfig(n_lists, batch_size, max_iters, tolerance, max_memory)
cyborg::TrainingConfig config(1024, 2048, 100, 1e-6, 0);
index->TrainIndex(config);