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Versions: 8
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Stored size: 1.34 KB
Contents
module Rumale
module SVM
class LogisticRegression
include Base::BaseEstimator
include Base::Classifier
attr_reader weight_vec: Numo::DFloat
attr_reader bias_term: Numo::DFloat
def initialize: (?penalty: String penalty, ?dual: bool dual, ?reg_param: Float reg_param,
?fit_bias: bool fit_bias, ?bias_scale: Float bias_scale, ?tol: Float tol,
?verbose: bool verbose, ?random_seed: untyped? random_seed) -> void
def fit: (Numo::DFloat x, Numo::Int32 y) -> LogisticRegression
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, weight_vec: Numo::DFloat, bias_term: Numo::DFloat }
def marshal_load: (untyped obj) -> void
private
def expand_feature: (Numo::DFloat x) -> Numo::DFloat
def weight_and_bias: (Numo::DFloat base_weight) -> [Numo::DFloat, Numo::DFloat]
def liblinear_params: () -> untyped
def solver_type: () -> Integer
def binary_class?: () -> bool
def fit_bias?: () -> bool
def bias_scale: () -> Float
def n_classes: () -> Integer
def n_features: () -> Integer
def trained?: () -> bool
end
end
end
Version data entries
8 entries across 8 versions & 1 rubygems