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// Copyright (C) 2003--2004 Ronan Collobert (collober@idiap.ch)
//
// This file is part of Torch 3.1.
//
// All rights reserved.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions
// are met:
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
// 2. Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
// 3. The name of the author may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR
// IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
// OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
// IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT,
// INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT
// NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
// DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
// THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
// (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF
// THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#include "ClassNLLMeasurer.h"
namespace Torch {
ClassNLLMeasurer::ClassNLLMeasurer(Sequence *inputs_, DataSet *data_, ClassFormat *class_format_, XFile *file_) : Measurer(data_, file_)
{
class_format = class_format_;
inputs = inputs_;
internal_error = 0;
addBOption("average examples", &average_examples, true, "divided by the number of examples");
addBOption("average frames", &average_frames, true, "divided by the number of frames");
}
void ClassNLLMeasurer::measureExample()
{
real sum = 0;
for(int i = 0; i < inputs->n_frames; i++)
{
int the_class = class_format->getClass(data->targets->frames[i]);
sum += inputs->frames[i][the_class];
}
if(average_frames)
sum /= inputs->n_frames;
internal_error -= sum;
}
void ClassNLLMeasurer::measureIteration()
{
if(average_examples)
internal_error /= data->n_examples;
if(binary_mode)
file->write(&internal_error, sizeof(real), 1);
else
file->printf("%g\n", internal_error);
file->flush();
reset();
}
void ClassNLLMeasurer::reset()
{
internal_error = 0;
}
ClassNLLMeasurer::~ClassNLLMeasurer()
{
}
}
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