coco
102 lines
3.5 KiB
C++
102 lines
3.5 KiB
C++
// Copyright (C) 2009 Davis E. King (davis@dlib.net)
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// License: Boost Software License See LICENSE.txt for the full license.
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#undef DLIB_NULL_TRAINERs_ABSTRACT_
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#ifdef DLIB_NULL_TRAINERs_ABSTRACT_
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#include "../algs.h"
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#include "function_abstract.h"
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namespace dlib
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{
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// ----------------------------------------------------------------------------------------
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template <
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typename dec_funct_type
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>
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class null_trainer_type
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{
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/*!
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REQUIREMENTS ON dec_funct_type
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dec_funct_type can be any copyable type that provides the needed
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typedefs used below (e.g. kernel_type, scalar_type, etc.).
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WHAT THIS OBJECT REPRESENTS
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This object is a simple tool for turning a decision function
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into a trainer object that always returns the original decision
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function when you try to train with it.
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dlib contains a few "training post processing" algorithms (e.g.
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reduced() and reduced2()). These tools take in a trainer object,
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tell it to perform training, and then they take the output decision
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function and do some kind of post processing to it. The null_trainer_type
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object is useful because you can use it to run an already
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learned decision function through the training post processing
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algorithms by turning a decision function into a null_trainer_type
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and then giving it to a post processor.
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!*/
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public:
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typedef typename dec_funct_type::kernel_type kernel_type;
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typedef typename dec_funct_type::scalar_type scalar_type;
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typedef typename dec_funct_type::sample_type sample_type;
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typedef typename dec_funct_type::mem_manager_type mem_manager_type;
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typedef dec_funct_type trained_function_type;
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null_trainer_type (
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);
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/*!
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ensures
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- any call to this->train(x,y) will return a default initialized
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dec_funct_type object.
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!*/
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null_trainer_type (
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const dec_funct_type& dec_funct
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);
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/*!
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ensures
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- any call to this->train(x,y) will always return a copy of
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the given dec_funct object.
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!*/
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template <
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typename in_sample_vector_type,
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typename in_scalar_vector_type
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>
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const dec_funct_type& train (
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const in_sample_vector_type& x,
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const in_scalar_vector_type& y
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) const;
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/*!
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ensures
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- returns a copy of the decision function object given to
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this object's constructor.
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!*/
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};
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// ----------------------------------------------------------------------------------------
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template <
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typename dec_funct_type
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>
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const null_trainer_type<dec_funct_type> null_trainer (
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const dec_funct_type& dec_funct
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) { return null_trainer_type<dec_funct_type>(dec_funct); }
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/*!
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ensures
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- returns a null_trainer_type object that has been instantiated with
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the given arguments. That is, this function returns a null_trainer_type
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trainer that will return a copy of the given dec_funct object every time
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someone calls its train() function.
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!*/
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// ----------------------------------------------------------------------------------------
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}
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#endif // DLIB_NULL_TRAINERs_ABSTRACT_
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