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Contents
module Rumale module SVM class SVC include Base::BaseEstimator include Base::Classifier def initialize: (?reg_param: Float reg_param, ?kernel: String kernel, ?degree: Integer degree, ?gamma: Float gamma, ?coef0: Float coef0, ?shrinking: bool shrinking, ?probability: bool probability, ?cache_size: Float cache_size, ?tol: Float tol, ?verbose: bool verbose, ?random_seed: untyped? random_seed) -> void def fit: (Numo::DFloat x, Numo::Int32 y) -> SVC def decision_function: (Numo::DFloat x) -> Numo::DFloat def predict: (Numo::DFloat x) -> Numo::Int32 def predict_proba: (Numo::DFloat x) -> Numo::DFloat def marshal_dump: () -> { params: Hash[Symbol, untyped], model: untyped } def marshal_load: (Hash[Symbol, untyped] obj) -> nil def support: () -> Numo::Int32 def support_vectors: () -> Numo::DFloat def n_support: () -> Numo::Int32 def duel_coef: () -> Numo::DFloat def intercept: () -> Numo::DFloat def prob_a: () -> Numo::DFloat def prob_b: () -> Numo::DFloat private def add_index_col: (Numo::DFloat x) -> Numo::DFloat def del_index_col: (Numo::DFloat x) -> Numo::DFloat def precomputed_kernel?: () -> bool def libsvm_params: () -> untyped def trained?: () -> bool end end end
Version data entries
9 entries across 9 versions & 1 rubygems