Implements multinomial logistic regression classifier (dependency-free, deterministic; regularized damped-Newton training on internally standardized data). More...
#include <memory>#include <vector>#include <cassert>#include <cmath>#include <iostream>#include "error.hpp"#include "global.hpp"#include "classifier.hpp"#include "dense_train_tools.hpp"Go to the source code of this file.
Classes | |
| class | FST::Classifier_Logistic_Regression< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR > |
| Implements multinomial (softmax) logistic regression classifier. More... | |
Namespaces | |
| namespace | FST |
| The Feature Selection Toolbox 4 library: every library component – data access, criteria and classifiers, search algorithms, result trackers and the global infrastructure – lives in this namespace. | |
Implements multinomial logistic regression classifier (dependency-free, deterministic; regularized damped-Newton training on internally standardized data).
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