coco
37 lines
1.3 KiB
C++
37 lines
1.3 KiB
C++
// Copyright (C) 2018 Davis E. King (davis@dlib.net)
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// License: Boost Software License See LICENSE.txt for the full license.
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#undef DLIB_AUTO_LEARnING_ABSTRACT_Hh_
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#ifdef DLIB_AUTO_LEARnING_ABSTRACT_Hh_
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#include "kernel_abstract.h"
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#include "function_abstract.h"
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#include <chrono>
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#include <vector>
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namespace dlib
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{
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normalized_function<decision_function<radial_basis_kernel<matrix<double,0,1>>>> auto_train_rbf_classifier (
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std::vector<matrix<double,0,1>> x,
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std::vector<double> y,
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const std::chrono::nanoseconds max_runtime,
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bool be_verbose = true
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);
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/*!
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requires
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- is_binary_classification_problem(x,y) == true
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- y contains at least 6 examples of each class.
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ensures
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- This routine trains a radial basis function SVM on the given binary
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classification training data. It uses the svm_c_trainer to do this. It also
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uses find_max_global() and 6-fold cross-validation to automatically determine
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the best settings of the SVM's hyper parameters.
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- The hyperparameter search will run for about max_runtime and will print
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messages to the screen as it runs if be_verbose==true.
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!*/
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}
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#endif // DLIB_AUTO_LEARnING_ABSTRACT_Hh_
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