ra_model.hpp File Reference
Include dependency graph for ra_model.hpp:
Go to the source code of this file.
Classes | |
| class | AlphaVisitor |
| Exposes the Alpha() method of the given RAType. More... | |
| class | BiSearchVisitor< SortPolicy > |
| BiSearchVisitor executes a bichromatic neighbor search on the given NSType. More... | |
| class | DeleteVisitor |
| DeleteVisitor deletes the given NSType instance. More... | |
| class | FirstLeafExactVisitor |
| Exposes the FirstLeafExact() method of the given RAType. More... | |
| class | MonoSearchVisitor |
| MonoSearchVisitor executes a monochromatic neighbor search on the given NSType. More... | |
| class | NaiveVisitor |
| NaiveVisitor exposes the Naive() method of the given RAType. More... | |
| class | RAModel< SortPolicy > |
| The RAModel class provides an abstraction for the RASearch class, abstracting away the TreeType parameter and allowing it to be specified at runtime in this class. More... | |
| class | ReferenceSetVisitor |
| ReferenceSetVisitor exposes the referenceSet of the given NSType. More... | |
| class | SampleAtLeavesVisitor |
| Exposes the SampleAtLeaves() method of the given RAType. More... | |
| class | SingleModeVisitor |
| Exposes the SingleMode() method of the given RAType. More... | |
| class | SingleSampleLimitVisitor |
| Exposes the SingleSampleLimit() method of the given RAType. More... | |
| class | TauVisitor |
| Exposes the Tau() method of the given RAType. More... | |
| class | TrainVisitor< SortPolicy > |
| TrainVisitor sets the reference set to a new reference set on the given NSType. More... | |
Namespaces | |
| mlpack | |
strip_type.hpp | |
| mlpack::neighbor | |
Typedefs | |
template < typename SortPolicy , template < typename TreeMetricType , typename TreeStatType , typename TreeMatType > class TreeType > | |
| using | RAType = RASearch< SortPolicy, metric::EuclideanDistance, arma::mat, TreeType > |
| Alias template for RASearch. More... | |
Detailed Description
This is a model for rank-approximate nearest neighbor search. It provides an easy way to serialize a rank-approximate neighbor search model by abstracting the types of trees and reflecting the RASearch API.
mlpack is free software; you may redistribute it and/or modify it under the terms of the 3-clause BSD license. You should have received a copy of the 3-clause BSD license along with mlpack. If not, see http://www.opensource.org/licenses/BSD-3-Clause for more information.
Definition in file ra_model.hpp.