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CMeanSquaredError Class Reference

Detailed Description

Class MeanSquaredError used to compute an error of regression model.

Formally, for real labels $ L,R, |L|=|R|$ mean squared error (MSE) is estimated as

\[ \frac{1}{|L|} \sum_{i=1}^{|L|} (L_i - R_i)^2 \]

Definition at line 33 of file MeanSquaredError.h.

Inheritance diagram for CMeanSquaredError:
Inheritance graph
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Public Member Functions

 CMeanSquaredError ()
virtual ~CMeanSquaredError ()
virtual float64_t evaluate (CLabels *predicted, CLabels *ground_truth)
EEvaluationDirection get_evaluation_direction ()
virtual const char * get_name () const
- Public Member Functions inherited from CEvaluation
 CEvaluation ()
virtual ~CEvaluation ()
- Public Member Functions inherited from CSGObject
 CSGObject ()
 CSGObject (const CSGObject &orig)
virtual ~CSGObject ()
virtual bool is_generic (EPrimitiveType *generic) const
template<class T >
void set_generic ()
void unset_generic ()
virtual void print_serializable (const char *prefix="")
virtual bool save_serializable (CSerializableFile *file, const char *prefix="")
virtual bool load_serializable (CSerializableFile *file, const char *prefix="")
void set_global_io (SGIO *io)
SGIOget_global_io ()
void set_global_parallel (Parallel *parallel)
Parallelget_global_parallel ()
void set_global_version (Version *version)
Versionget_global_version ()
SGVector< char * > get_modelsel_names ()
char * get_modsel_param_descr (const char *param_name)
index_t get_modsel_param_index (const char *param_name)

Additional Inherited Members

- Public Attributes inherited from CSGObject
SGIOio
Parallelparallel
Versionversion
Parameterm_parameters
Parameterm_model_selection_parameters
- Protected Member Functions inherited from CSGObject
virtual void load_serializable_pre () throw (ShogunException)
virtual void load_serializable_post () throw (ShogunException)
virtual void save_serializable_pre () throw (ShogunException)
virtual void save_serializable_post () throw (ShogunException)

Constructor & Destructor Documentation

constructor

Definition at line 37 of file MeanSquaredError.h.

virtual ~CMeanSquaredError ( )
virtual

destructor

Definition at line 40 of file MeanSquaredError.h.

Member Function Documentation

float64_t evaluate ( CLabels predicted,
CLabels ground_truth 
)
virtual

evaluate mean squared error

Parameters
predictedlabels for evaluating
ground_truthlabels assumed to be correct
Returns
mean squared error

Implements CEvaluation.

Definition at line 17 of file MeanSquaredError.cpp.

EEvaluationDirection get_evaluation_direction ( )
virtual
Returns
whether criterium has to be maximized or minimized

Implements CEvaluation.

Definition at line 49 of file MeanSquaredError.h.

virtual const char* get_name ( ) const
virtual

get name

Implements CSGObject.

Definition at line 55 of file MeanSquaredError.h.


The documentation for this class was generated from the following files:

SHOGUN Machine Learning Toolbox - Documentation