callback_test.cpp File Reference

Test the Linear SVM class. More...

#include <ensmallen.hpp>
#include <ensmallen_bits/callbacks/callbacks.hpp>
#include <mlpack/core.hpp>
#include <mlpack/methods/ann/ffn.hpp>
#include <mlpack/methods/ann/rnn.hpp>
#include <mlpack/methods/ann/rbm/rbm.hpp>
#include <mlpack/methods/ann/loss_functions/mean_squared_error.hpp>
#include <mlpack/methods/logistic_regression/logistic_regression.hpp>
#include <mlpack/methods/lmnn/lmnn.hpp>
#include <mlpack/methods/nca/nca.hpp>
#include <mlpack/core/metrics/lmetric.hpp>
#include <mlpack/methods/softmax_regression/softmax_regression.hpp>
#include <mlpack/methods/softmax_regression/softmax_regression_impl.hpp>
#include <mlpack/methods/ann/init_rules/gaussian_init.hpp>
#include <mlpack/methods/sparse_autoencoder/sparse_autoencoder.hpp>
#include "catch.hpp"

Include dependency graph for callback_test.cpp:

Functions
	TEST_CASE ("FFNCallbackTest", "[CallbackTest]")
	Test a FFN model with PrintLoss callback.
	TEST_CASE ("FFNWithOptimizerCallbackTest", "[CallbackTest]")
	Test a FFN model with PrintLoss callback and optimizer parameter.
	TEST_CASE ("RNNCallbackTest", "[CallbackTest]")
	Test a RNN model with PrintLoss callback.
	TEST_CASE ("RNNWithOptimizerCallbackTest", "[CallbackTest]")
	Test a RNN model with PrintLoss callback and optimizer parameter.
	TEST_CASE ("LRWithOptimizerCallback", "[CallbackTest]")
	Test Logistic regression implementation with PrintLoss callback.
	TEST_CASE ("LMNNWithOptimizerCallback", "[CallbackTest]")
	Test LMNN implementation with ProgressBar callback.
	TEST_CASE ("NCAWithOptimizerCallback", "[CallbackTest]")
	Test NCA implementation with ProgressBar callback.
	TEST_CASE ("SRWithOptimizerCallback", "[CallbackTest]")
	Test softmax_regression implementation with PrintLoss callback.
	TEST_CASE ("RBMCallbackTest", "[CallbackTest]")
	TEST_CASE ("SparseAutoencodeCallbackTest", "[CallbackTest]")
	Tests the SparseAutoencoder implementation with StoreBestCoordinates callback.

Detailed Description

Test the Linear SVM class.

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