PLSSVM - Parallel Least Squares Support Vector Machine
2.0.0
A Least Squares Support Vector Machine implementation using different backends.
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Implements a model class encapsulating the results of a SVM fit call. More...
#include "plssvm/data_set.hpp"
#include "plssvm/detail/assert.hpp"
#include "plssvm/detail/io/libsvm_model_parsing.hpp"
#include "plssvm/detail/io/libsvm_parsing.hpp"
#include "plssvm/detail/logger.hpp"
#include "plssvm/detail/performance_tracker.hpp"
#include "plssvm/detail/type_list.hpp"
#include "plssvm/parameter.hpp"
#include "fmt/chrono.h"
#include "fmt/core.h"
#include <chrono>
#include <cstddef>
#include <iostream>
#include <memory>
#include <string>
#include <tuple>
#include <utility>
#include <vector>
Go to the source code of this file.
Classes | |
class | plssvm::model< T, U > |
Implements a class encapsulating the result of a call to the SVM fit function. A model is used to predict the labels of a new data set. More... | |
Namespaces | |
plssvm | |
The main namespace containing all public API functions. | |
Implements a model class encapsulating the results of a SVM fit call.