class KFold

Provides an interface to sample data, for use by methods such as cross-validation

Inheritance:

Public Fields

int** train_subsets

Training examples for each fold

int** test_subsets

Test examples for each fold

int* n_train_subsets

Number of training examples for each fold

int* n_test_subsets

Number of test examples for each fold

Public Methods

KFold(Trainer* trainer_, int kfold_)

virtual void crossValidate(DataSet* data, MeasurerList* train_measurers=NULL, MeasurerList* test_measurers=NULL, MeasurerList* cross_valid_measurers=NULL)

Do a cross-validation over data.

virtual void sample(int n_examples)

Prepare the sample.

Inherited from Object:

Public Fields

Allocator* allocator

Public Methods

void addOption(const char* name, int size, void* ptr, const char* help="")

void addIOption(const char* name, int* ptr, int init_value, const char* help="")

void addROption(const char* name, real* ptr, real init_value, const char* help="")

void addBOption(const char* name, bool* ptr, bool init_value, const char* help="")

void addOOption(const char* name, Object** ptr, Object* init_value, const char* help="")

void setOption(const char* name, void* ptr)

void setIOption(const char* name, int option)

void setROption(const char* name, real option)

void setBOption(const char* name, bool option)

void setOOption(const char* name, Object* option)

virtual void loadXFile(XFile* file)

virtual void saveXFile(XFile* file)

void load(const char* filename)

void save(const char* filename)

void* operator new(size_t size, Allocator* allocator_=NULL)

void* operator new(size_t size, Allocator* allocator_, void* ptr_)

void operator delete(void* ptr)

Documentation

Provides an interface to sample data, for use by methods such as cross-validation

int** train_subsets

Training examples for each fold

int** test_subsets

Test examples for each fold

int* n_train_subsets

Number of training examples for each fold

int* n_test_subsets

Number of test examples for each fold

KFold(Trainer* trainer_, int kfold_)

virtual void crossValidate(DataSet* data, MeasurerList* train_measurers=NULL, MeasurerList* test_measurers=NULL, MeasurerList* cross_valid_measurers=NULL)

Do a cross-validation over data. train_measurers are called in each "train pass" for each fold. test_measurers are called in each "test pass" for each fold. cross_valid_measurers are called during the cross-validation loop.

virtual void sample(int n_examples)

Prepare the sample. Given n_examples, puts the right examples-indices in train_subsets and test_subsets, and updates n_train_subsets and n_test_subsets. (You don't have to allocate these arrays). The provided sample function is a standard sample for cross-validation, but you could imagine what you want!

This class has no child classes.

Author:

Samy Bengio (bengio@idiap.ch) Ronan Collobert (collober@idiap.ch)

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