Class Hierarchy

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This inheritance list is sorted roughly, but not completely, alphabetically:

[detail level 1234]

Cplssvm::detail::cartesian_type_product< S, T >
Cplssvm::detail::cartesian_type_product< std::tuple< FirstTupleType, FirstTupleRemainingTypes... >, std::tuple< SecondTupleTypes... > >	Calculate the cartesian product of the types in two tuples and return a new tuple with the corresponding real_type_label_type_combination types
Cplssvm::detail::cartesian_type_product< std::tuple<>, std::tuple< SecondTupleTypes... > >
Cplssvm::opencl::detail::command_queue	RAII wrapper class around a cl_command_queue
Cplssvm::detail::concat_tuple_types< S, T >
Cplssvm::detail::concat_tuple_types< std::tuple< FirstTupleTypes... >, std::tuple< SecondTupleTypes... > >	Concatenate the types of the two tuples to a new tuple type
Cplssvm::opencl::detail::context	RAII wrapper class around a cl_context
►Cplssvm::csvm	Base class for all C-SVM backends
►Cplssvm::detail::gpu_csvm< detail::device_ptr, int >
Cplssvm::cuda::csvm	A C-SVM implementation using CUDA as backend
Cplssvm::hip::csvm	A C-SVM implementation using HIP as backend
►Cplssvm::detail::gpu_csvm< detail::device_ptr, detail::command_queue >
Cplssvm::opencl::csvm	A C-SVM implementation using OpenCL as backend
►Cplssvm::detail::gpu_csvm< detail::device_ptr, detail::queue >
Cplssvm::dpcpp::csvm	A C-SVM implementation using DPC++ as SYCL backend
Cplssvm::hipsycl::csvm	A C-SVM implementation using hipSYCL as SYCL backend
Cplssvm::detail::gpu_csvm< device_ptr_t, queue_t >	A C-SVM implementation for all GPU backends to reduce code duplication
Cplssvm::openmp::csvm	A C-SVM implementation using OpenMP as backend
►Cdetail::csvm_backend_exists
Cplssvm::csvm_backend_exists< T >	Sets the value of the value member to true if T is a C-SVM using an available backend. Ignores any top-level const, volatile, and reference qualifiers
►Cdetail::csvm_to_backend_type
Cplssvm::csvm_to_backend_type< T >	Get the plssvm::backend_type of the C-SVM class of type T. Ignores all top-level const, volatile, and reference qualifiers
Cplssvm::data_set< T, U >	Encapsulate all necessary data that is needed for training or predicting using an SVM
Cplssvm::data_set< real_type, label_type >
Cplssvm::default_init< T >	This class denotes an explicit default value initialization used to distinguish between the default value or user provided initialization in the default_value class
Cplssvm::default_init< value_type >
Cplssvm::default_value< T >	This class encapsulates a value that may be a default value or not
Cplssvm::default_value< double >
Cplssvm::default_value< int >
Cplssvm::default_value< kernel_function_type >
Cplssvm::default_value< real_type >
Cplssvm::default_value< std::size_t >
Cplssvm::sycl::detail::device_kernel_predict_polynomial< T >	Predicts the labels for data points using the polynomial kernel function
Cplssvm::sycl::detail::device_kernel_predict_rbf< T >	Predicts the labels for data points using the radial basis functions kernel function
Cplssvm::sycl::detail::device_kernel_q_linear< T >	Functor to calculate the q vector using the linear C-SVM kernel
Cplssvm::sycl::detail::device_kernel_q_polynomial< T >	Functor to calculate the q vector using the polynomial C-SVM kernel
Cplssvm::sycl::detail::device_kernel_q_rbf< T >	Functor to calculate the q vector using the radial basis functions C-SVM kernel
Cplssvm::sycl::detail::device_kernel_w_linear< T >	Calculate the w vector to speed up the prediction of the labels for data points using the linear kernel function
►Cstd::disjunction
Cplssvm::detail::type_list_contains< T, std::tuple< Types... > >	Checks whether the type T is present in the tuple Types
Cplssvm::opencl::detail::error_code	Class wrapping an OpenCL error code
Cplssvm::detail::execution_range	Class specifying a backend independent execution range
Cplssvm::data_set< T, U >::scaling::factors	The calculated or read feature-wise scaling factors
►Cstd::false_type
►Cplssvm::detail::impl::is_tracking_entry< detail::remove_cvref_t< T > >
Cplssvm::detail::is_tracking_entry< T >	Check whether T is a tracking entry. Ignores all top-level const, volatile, and reference qualifiers
Cplssvm::detail::impl::is_tracking_entry< T >	Sets the value to false since it isn't a tracking entry
Cplssvm::detail::is_array< T >	Type trait to check whether T is a std::array
Cplssvm::detail::is_deque< T >	Type trait to check whether T is a std::deque
Cplssvm::detail::is_forward_list< T >	Type trait to check whether T is a std::forward_list
Cplssvm::detail::is_list< T >	Type trait to check whether T is a std::list
Cplssvm::detail::is_map< T >	Type trait to check whether T is a std::map
Cplssvm::detail::is_multimap< T >	Type trait to check whether T is a std::multimap
Cplssvm::detail::is_multiset< T >	Type trait to check whether T is a std::multiset
Cplssvm::detail::is_set< T >	Type trait to check whether T is a std::set
Cplssvm::detail::is_unordered_map< T >	Type trait to check whether T is a std::unordered_map
Cplssvm::detail::is_unordered_multimap< T >	Type trait to check whether T is a std::unordered_multimap
Cplssvm::detail::is_unordered_multiset< T >	Type trait to check whether T is a std::unordered_multiset
Cplssvm::detail::is_unordered_set< T >	Type trait to check whether T is a std::unordered_set
Cplssvm::detail::is_vector< T >	Type trait to check whether T is a std::vector
Cplssvm::detail::io::file_reader	The plssvm::detail::file_reader class is responsible for reading a file and splitting it into its lines
Cplssvm::detail::gpu_device_ptr< T, queue_t, device_pointer_t >	Small wrapper class around a GPU device pointer together with commonly used device functions for all GPU backends to reduce code duplication
►Cplssvm::detail::gpu_device_ptr< T, const command_queue *, cl_mem >
Cplssvm::opencl::detail::device_ptr< T >	Small wrapper class around an OpenCL device pointer together with commonly used device functions
►Cplssvm::detail::gpu_device_ptr< T, int >
Cplssvm::cuda::detail::device_ptr< T >	Small wrapper class around a CUDA device pointer together with commonly used device functions
Cplssvm::hip::detail::device_ptr< T >	Small wrapper class around a HIP device pointer together with commonly used device functions
►Cplssvm::detail::gpu_device_ptr< T, queue >
Cplssvm::dpcpp::detail::device_ptr< T >	Small wrapper class around a DPC++ device pointer together with commonly used device functions
Cplssvm::hipsycl::detail::device_ptr< T >	Small wrapper class around a hipSYCL device pointer together with commonly used device functions
Cstd::hash< plssvm::default_value< T > >	Hashing struct specialization in the std namespace for a default_value
Cplssvm::sycl::detail::hierarchical_device_kernel_linear< T >	Calculates the C-SVM kernel using the hierarchical formulation and the linear kernel function
Cplssvm::sycl::detail::hierarchical_device_kernel_polynomial< T >	Calculates the C-SVM kernel using the hierarchical formulation and the polynomial kernel function
Cplssvm::sycl::detail::hierarchical_device_kernel_rbf< T >	Calculates the C-SVM kernel using the hierarchical formulation and the radial basis functions kernel function
►Cdetail::is_default_value
Cplssvm::is_default_value< T >	Test whether the given type T is of type plssvm::default_value ignoring all top-level const, volatile, and reference qualifiers
Cplssvm::opencl::detail::kernel	RAII wrapper class around a cl_kernel
Cplssvm::data_set< T, U >::label_mapper	Implements all necessary functionality to map arbitrary labels to labels usable by the C-SVMs
Cplssvm::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
Cplssvm::sycl::detail::nd_range_device_kernel_linear< T >	Calculates the C-SVM kernel using the nd_range formulation and the linear kernel function
Cplssvm::sycl::detail::nd_range_device_kernel_polynomial< T >	Calculates the C-SVM kernel using the nd_range formulation and the polynomial kernel function
Cplssvm::sycl::detail::nd_range_device_kernel_rbf< T >	Calculates the C-SVM kernel using the nd_range formulation and the radial basis functions kernel function
Cplssvm::detail::parameter< T >	Class for encapsulating all important C-SVM parameters
Cplssvm::detail::parameter< double >
Cplssvm::detail::cmd::parser_predict	Class for encapsulating all necessary parameters for prediction; normally provided through command line arguments
Cplssvm::detail::cmd::parser_scale	Class for encapsulating all necessary parameters for scaling a data set; normally provided through command line arguments
Cplssvm::detail::cmd::parser_train	Class for encapsulating all necessary parameters for training; normally provided through command line arguments
Cplssvm::detail::performance_tracker	Store the tracked information during calls to plssvm-train, plssvm-predict, and plssvm-scale
Cplssvm::dpcpp::detail::queue	PImpl class to hide the SYCL queue class from the public interface (and, therefore, the "sycl/sycl.hpp" header)
Cplssvm::hipsycl::detail::queue	PImpl class to hide the SYCL queue class from the public interface (and, therefore, the "sycl/sycl.hpp" header)
Cplssvm::dpcpp::detail::queue::queue_impl	The PImpl implementation struct encapsulating a single SYCL queue
Cplssvm::hipsycl::detail::queue::queue_impl	The PImpl implementation struct encapsulating a single SYCL queue
Cplssvm::detail::real_type_label_type_combination< T, U >	Encapsulates a combination of a used real_type (float or double) and label_type (an arithmetic type or std::string)
►Cstd::runtime_error
►Cplssvm::exception	Base class for all custom exception types. Forwards its message to std::runtime_error and saves the exception name and the call side source location information
Cplssvm::cuda::backend_exception	Exception type thrown if a problem with the CUDA backend occurs
Cplssvm::data_set_exception	Exception type thrown if a data_set is used inappropriately
Cplssvm::file_not_found_exception	Exception type thrown if the provided file couldn't be found
Cplssvm::file_reader_exception	Exception type thrown if the file_reader is used inappropriately (e.g., if two files should be opened at the same time)
Cplssvm::gpu_device_ptr_exception	Exception type thrown if an error in the generic plssvm::detail::gpu_device_ptr occurred
Cplssvm::hip::backend_exception	Exception type thrown if a problem with the HIP backend occurs
Cplssvm::invalid_file_format_exception	Exception type thrown if the provided file has an invalid format for the selected parser (e.g. if the arff parser tries to parse a LIBSVM file)
Cplssvm::invalid_parameter_exception	Exception type thrown if the provided parameter is invalid
Cplssvm::opencl::backend_exception	Exception type thrown if a problem with the OpenCL backend occurs
Cplssvm::openmp::backend_exception	Exception type thrown if a problem with the OpenMP backend occurs
►Cplssvm::sycl::backend_exception	Exception type thrown if a problem with the SYCL backend occurs
Cplssvm::dpcpp::backend_exception	Exception type thrown if a problem with the DPC++ SYCL backend occurs
Cplssvm::hipsycl::backend_exception	Exception type thrown if a problem with the hipSYCL SYCL backend occurs
Cplssvm::unsupported_backend_exception	Exception type thrown if the requested backend is not supported on the target machine
Cplssvm::unsupported_kernel_type_exception	Exception type thrown if the requested kernel type is not supported
Cplssvm::data_set< T, U >::scaling	Implements all necessary data and functions needed for scaling a plssvm::data_set to an user-defined range
Cplssvm::detail::sha256	A hashing struct used for sha256 hashing
Cplssvm::source_location	The plssvm::source_location class represents certain information about the source code, such as file names, line numbers, or function names
Cplssvm::detail::tracking_entry< T >	A single tracking entry containing a specific category, a unique name, and the actual value to be tracked
Cplssvm::operators::transposed< T >	Wrapper struct for overloading the dot product operator
►Cstd::true_type
Cplssvm::detail::csvm_backend_exists< cuda::csvm >	Sets the value to true since C-SVMs using the CUDA backend are available
Cplssvm::detail::csvm_backend_exists< dpcpp::csvm >	Sets the value to true since C-SVMs using the SYCL backend with DPC++ as SYCL implementation are available
Cplssvm::detail::csvm_backend_exists< hip::csvm >	Sets the value to true since C-SVMs using the HIP backend are available
Cplssvm::detail::csvm_backend_exists< hipsycl::csvm >	Sets the value to true since C-SVMs using the SYCL backend with hipSYCL as SYCL implementation are available
Cplssvm::detail::csvm_backend_exists< opencl::csvm >	Sets the value to true since C-SVMs using the OpenCL backend are available
Cplssvm::detail::csvm_backend_exists< openmp::csvm >	Sets the value to true since C-SVMs using the OpenMP backend are available
Cplssvm::detail::impl::is_tracking_entry< tracking_entry< T > >	Sets the value to true since it is a tracking entry
Cplssvm::detail::is_array< std::array< T, I > >	Type trait to check whether T is a std::array.
Cplssvm::detail::is_deque< std::deque< T > >	Type trait to check whether T is a std::deque.
Cplssvm::detail::is_forward_list< std::forward_list< T > >	Type trait to check whether T is a std::forward_list.
Cplssvm::detail::is_list< std::list< T > >	Type trait to check whether T is a std::list.
Cplssvm::detail::is_map< std::map< Key, T > >	Type trait to check whether T is a std::map.
Cplssvm::detail::is_multimap< std::multimap< Key, T > >	Type trait to check whether T is a std::multimap.
Cplssvm::detail::is_multiset< std::multiset< T > >	Type trait to check whether T is a std::multiset.
Cplssvm::detail::is_set< std::set< T > >	Type trait to check whether T is a std::set.
Cplssvm::detail::is_unordered_map< std::unordered_map< Key, T > >	Type trait to check whether T is a std::unordered_map.
Cplssvm::detail::is_unordered_multimap< std::unordered_multimap< Key, T > >	Type trait to check whether T is a std::unordered_multimap.
Cplssvm::detail::is_unordered_multiset< std::unordered_multiset< T > >	Type trait to check whether T is a std::unordered_multiset.
Cplssvm::detail::is_unordered_set< std::unordered_set< T > >	Type trait to check whether T is a std::unordered_set.
Cplssvm::detail::is_vector< std::vector< T > >	Type trait to check whether T is a std::vector.
Cplssvm::detail::type_list_contains< T, Tuple >	Checks whether the type T is present in the Tuple