mlpack
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#include <mlpack/core.hpp>
#include <mlpack/methods/ann/layer/layer.hpp>
#include <mlpack/methods/ann/loss_functions/mean_squared_error.hpp>
#include <mlpack/methods/ann/ffn.hpp>
#include <mlpack/methods/kmeans/kmeans.hpp>
#include <ensmallen.hpp>
#include "catch.hpp"
#include "serialization.hpp"
#include "custom_layer.hpp"
Functions | |
template<typename MatType = arma::mat, typename ModelType > | |
void | TestNetwork (ModelType &model, MatType &trainData, MatType &trainLabels, MatType &testData, MatType &testLabels, const size_t maxEpochs, const double classificationErrorThreshold) |
Train and evaluate a model with the specified structure. | |
TEST_CASE ("RBFNetworkTest", "[FeedForwardNetworkTest]") | |
Train the RBF network on a larger dataset. | |
Tests the feed forward network.
mlpack is free software; you may redistribute it and/or modify it under the terms of the 3-clause BSD license. You should have received a copy of the 3-clause BSD license along with mlpack. If not, see http://www.opensource.org/licenses/BSD-3-Clause for more information.