Shark machine learning library
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shark
LinearRegression
shark::LinearRegression Member List
This is the complete list of members for
shark::LinearRegression
, including all inherited members.
BOOST_SERIALIZATION_SPLIT_MEMBER
()
shark::ISerializable
DatasetType
typedef
shark::AbstractTrainer< LinearModel<> >
InputType
typedef
shark::AbstractTrainer< LinearModel<> >
LabelType
typedef
shark::AbstractTrainer< LinearModel<> >
LinearRegression
(double regularization=0.0)
shark::LinearRegression
load
(InArchive &archive, unsigned int version)
shark::ISerializable
inline
m_regularization
shark::LinearRegression
protected
ModelType
typedef
shark::AbstractTrainer< LinearModel<> >
name
() const
shark::LinearRegression
inline
virtual
numberOfParameters
() const
shark::LinearRegression
inline
virtual
parameterVector
() const
shark::LinearRegression
inline
virtual
ParameterVectorType
typedef
shark::IParameterizable<>
read
(InArchive &archive)
shark::ISerializable
inline
virtual
regularization
() const
shark::LinearRegression
inline
save
(OutArchive &archive, unsigned int version) const
shark::ISerializable
inline
setParameterVector
(const RealVector ¶m)
shark::LinearRegression
inline
virtual
setRegularization
(double regularization)
shark::LinearRegression
inline
train
(LinearModel<> &model, LabeledData< RealVector, RealVector > const &dataset)
shark::LinearRegression
AbstractTrainer< LinearModel<> >::train
(ModelType &model, DatasetType const &dataset)=0
shark::AbstractTrainer< LinearModel<> >
pure virtual
write
(OutArchive &archive) const
shark::ISerializable
inline
virtual
~INameable
()
shark::INameable
inline
virtual
~IParameterizable
()
shark::IParameterizable<>
inline
virtual
~ISerializable
()
shark::ISerializable
inline
virtual