Deep Learning Algorithm Implementations 1.0.0
C++ implementations of fundamental deep learning algorithms
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This is the complete list of members for ml::SVM< T >, including all inherited members.
decision_function(const Tensor< T > &X) const | ml::SVM< T > | |
dual_coef() const | ml::SVM< T > | |
fit(const Tensor< T > &X, const std::vector< int > &y) | ml::SVM< T > | |
intercept() const | ml::SVM< T > | |
loss_history() const | ml::SVM< T > | inline |
predict(const Tensor< T > &X) const | ml::SVM< T > | |
predict_proba(const Tensor< T > &X) const | ml::SVM< T > | |
support() const | ml::SVM< T > | |
support_vectors() const | ml::SVM< T > | |
SVM(KernelType kernel_type=KernelType::RBF, T C=1.0, T gamma=1.0, int degree=3, T coef0=0.0, T tol=1e-3, size_t max_iter=1000, T learning_rate=0.01) | ml::SVM< T > |