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meta::learn::dataset_view Class Reference

A non-owning view of a dataset. More...

#include <dataset_view.h>

Inheritance diagram for meta::learn::dataset_view:
meta::classify::binary_dataset_view meta::classify::multiclass_dataset_view meta::regression::regression_dataset_view


class  iterator

Public Types

using instance_type = dataset::instance_type
using size_type = dataset::size_type
using const_iterator = iterator

Public Member Functions

 dataset_view (const dataset &dset)
 dataset_view (const dataset &dset, dataset::const_iterator begin, dataset::const_iterator end)
template<class RandomEngine >
 dataset_view (const dataset &dset, RandomEngine &&rng)
template<class RandomEngine >
 dataset_view (const dataset &dset, dataset::const_iterator begin, dataset::const_iterator end, RandomEngine &&rng)
 dataset_view (const dataset_view &dv, const_iterator first, const_iterator last)
void add_by_index (size_type idx)
void shuffle ()
void rotate (size_type block_size)
iterator begin () const
iterator end () const
size_type size () const
size_type total_features () const

Protected Member Functions

 dataset_view (const dataset_view &dv, std::vector< size_type > &&indices)
template<class DerivedDataset >
const DerivedDataset & dset () const
const std::vector< size_type > indices () const

Private Attributes

const datasetdset_
std::vector< size_type > indices_
random::any_rng rng_

Detailed Description

A non-owning view of a dataset.

This is typically what the learning algorithms will see: their own view of a dataset, which they can shuffle/permute as they see fit. Derived classes of dataset_view will typically also define the label value for each element in the dataset that returns something appropriate for that kind of algorithm: +1 or -1 for binary classification, a class_label for multiclass, a double for regression, etc.

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