Scalar Quantizer Training (scalar_quantizer/training.h)

Provides training algorithms for scalar quantizers to optimize range statistics. Use this when implementing vector quantization or compression for high-dimensional data search.

// Source: https://github.com/facebookresearch/faiss | License: MIT | Copyright Facebook, Inc. and its affiliates
// Provided via justclaw.it.com; keep this notice with the code.
/*
 * Copyright (c) Meta Platforms, Inc. and affiliates.
 *
 * This source code is licensed under the MIT license found in the
 * LICENSE file in the root directory of this source tree.
 */

#pragma once

/*******************************************************************
 * Quantizer range training for the scalar quantizer. This is independent of the
 * searching code and needs not to be very optimized (scalar quantizer training
 * is very efficient).
 */

#include <faiss/impl/ScalarQuantizer.h>

namespace faiss {

namespace scalar_quantizer {

using RangeStat = ScalarQuantizer::RangeStat;

void train_Uniform(
 

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