PLearn 0.1
Public Member Functions | Static Public Member Functions | Public Attributes | Static Public Attributes | Protected Member Functions | Static Protected Member Functions | Protected Attributes | Private Types | Private Member Functions
PLearn::SplitWiseValidationVMatrix Class Reference

VMatrix that takes several experiment split_stats.pmat to extract the split statistics and perform validation. More...

#include <SplitWiseValidationVMatrix.h>

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List of all members.

Public Member Functions

 SplitWiseValidationVMatrix ()
 Default constructor.
virtual string classname () const
virtual OptionListgetOptionList () const
virtual OptionMapgetOptionMap () const
virtual RemoteMethodMapgetRemoteMethodMap () const
virtual
SplitWiseValidationVMatrix
deepCopy (CopiesMap &copies) const
virtual void build ()
 Simply calls inherited::build() then build_().
virtual void makeDeepCopyFromShallowCopy (CopiesMap &copies)
 Transforms a shallow copy into a deep copy.

Static Public Member Functions

static string _classname_ ()
 RowBufferedVMatrix.
static OptionList_getOptionList_ ()
static RemoteMethodMap_getRemoteMethodMap_ ()
static Object_new_instance_for_typemap_ ()
static bool _isa_ (const Object *o)
static void _static_initialize_ ()
static const PPathdeclaringFile ()

Public Attributes

TVec< PPathsplit_stats_ppaths
 PPath of the experiment split_stats.pmat.
int validation_error_column
 Index of the validation error statistic column.
int nsplits
 Number of splits to consider, starting from the first one.
bool add_column_average
 Indication that the average of the columns should be added.

Static Public Attributes

static StaticInitializer _static_initializer_

Protected Member Functions

virtual void getNewRow (int i, const Vec &v) const
 Fill the vector 'v' with the content of the i-th row.

Static Protected Member Functions

static void declareOptions (OptionList &ol)
 Declares the class options.

Protected Attributes

Mat data
 Contains all information about this VMatrix.

Private Types

typedef RowBufferedVMatrix inherited

Private Member Functions

void build_ ()
 This does the actual building.

Detailed Description

VMatrix that takes several experiment split_stats.pmat to extract the split statistics and perform validation.

It looks at the validation error, selects the best experiment and only report the associated statistics, for each split.

Definition at line 53 of file SplitWiseValidationVMatrix.h.


Member Typedef Documentation

Reimplemented from PLearn::RowBufferedVMatrix.

Definition at line 55 of file SplitWiseValidationVMatrix.h.


Constructor & Destructor Documentation

PLearn::SplitWiseValidationVMatrix::SplitWiseValidationVMatrix ( )

Default constructor.

Definition at line 55 of file SplitWiseValidationVMatrix.cc.


Member Function Documentation

string PLearn::SplitWiseValidationVMatrix::_classname_ ( ) [static]

RowBufferedVMatrix.

Reimplemented from PLearn::RowBufferedVMatrix.

Definition at line 53 of file SplitWiseValidationVMatrix.cc.

OptionList & PLearn::SplitWiseValidationVMatrix::_getOptionList_ ( ) [static]

Reimplemented from PLearn::RowBufferedVMatrix.

Definition at line 53 of file SplitWiseValidationVMatrix.cc.

RemoteMethodMap & PLearn::SplitWiseValidationVMatrix::_getRemoteMethodMap_ ( ) [static]

Reimplemented from PLearn::RowBufferedVMatrix.

Definition at line 53 of file SplitWiseValidationVMatrix.cc.

bool PLearn::SplitWiseValidationVMatrix::_isa_ ( const Object o) [static]

Reimplemented from PLearn::RowBufferedVMatrix.

Definition at line 53 of file SplitWiseValidationVMatrix.cc.

Object * PLearn::SplitWiseValidationVMatrix::_new_instance_for_typemap_ ( ) [static]

Reimplemented from PLearn::Object.

Definition at line 53 of file SplitWiseValidationVMatrix.cc.

StaticInitializer SplitWiseValidationVMatrix::_static_initializer_ & PLearn::SplitWiseValidationVMatrix::_static_initialize_ ( ) [static]

Reimplemented from PLearn::RowBufferedVMatrix.

Definition at line 53 of file SplitWiseValidationVMatrix.cc.

void PLearn::SplitWiseValidationVMatrix::build ( ) [virtual]

Simply calls inherited::build() then build_().

Reimplemented from PLearn::VMatrix.

Definition at line 134 of file SplitWiseValidationVMatrix.cc.

References PLearn::VMatrix::build(), and build_().

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void PLearn::SplitWiseValidationVMatrix::build_ ( ) [private]

This does the actual building.

Reimplemented from PLearn::VMatrix.

Definition at line 85 of file SplitWiseValidationVMatrix.cc.

References add_column_average, data, PLearn::VMatrix::fill(), PLearn::TMat< T >::fill(), PLearn::getDataSet(), i, j, PLearn::TMat< T >::length(), PLearn::TVec< T >::length(), PLearn::VMatrix::length_, nsplits, PLERROR, PLWARNING, PLearn::TMat< T >::resize(), split_stats_ppaths, PLearn::VMat::toMat(), PLearn::VMatrix::updateMtime(), validation_error_column, PLearn::TMat< T >::width(), and PLearn::VMatrix::width_.

Referenced by build().

{
    if(validation_error_column < 0)
        PLERROR("In SplitWiseValidationVMatrix::build_(): validation_error_column cannot be < 0");
    if(split_stats_ppaths.length() == 0)
        PLERROR("In SplitWiseValidationVMatrix::build_(): split_stats_ppaths is empty");
    TVec<Mat> stats(split_stats_ppaths.length());
    Mat stats_i;
    for(int i=0; i<stats.length(); i++)
    {
        VMat v = getDataSet(split_stats_ppaths[i]);
        updateMtime(v);
        stats_i = v->toMat();
        
        if(i==0)
        {
            if(nsplits<0) nsplits = stats_i.length();
            data.resize(nsplits,stats_i.width());
            data.fill(REAL_MAX);
        }
        if(stats_i.length() <nsplits)
        {
            PLWARNING("In SplitWiseValidationVMatrix::build_(): split_stats_ppaths[%d]=%s does not have enough splits, it will be ignored", i, split_stats_ppaths[i].c_str());
            continue;
        }
        for(int j=0; j<nsplits; j++)
        {
            if(data(j,validation_error_column) > stats_i(j,validation_error_column))
                data(j) << stats_i(j);
        }
    }
    
    length_ = data.length();
    width_ = data.width();
    if(add_column_average)
    {
        data.resize(data.length()+1, data.width());
        data(data.length()-1).fill(0);
        length_++;
        for(int i=0; i<data.width(); i++)
        {
            for(int j=0; j<data.length()-1; j++)
                data(data.length()-1,i) += data(j,i);
            data(data.length()-1,i) = data(data.length()-1,i)/(data.length()-1);
        }
    }
}

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string PLearn::SplitWiseValidationVMatrix::classname ( ) const [virtual]

Reimplemented from PLearn::Object.

Definition at line 53 of file SplitWiseValidationVMatrix.cc.

void PLearn::SplitWiseValidationVMatrix::declareOptions ( OptionList ol) [static, protected]

Declares the class options.

Reimplemented from PLearn::VMatrix.

Definition at line 64 of file SplitWiseValidationVMatrix.cc.

References add_column_average, PLearn::OptionBase::buildoption, PLearn::declareOption(), PLearn::VMatrix::declareOptions(), nsplits, split_stats_ppaths, and validation_error_column.

{
    declareOption(ol, "split_stats_ppaths", &SplitWiseValidationVMatrix::split_stats_ppaths,
                   OptionBase::buildoption,
                   "Help text describing this option");
    declareOption(ol, "validation_error_column", &SplitWiseValidationVMatrix::validation_error_column,
                  OptionBase::buildoption,
                  "Index of the validation error statistic column");
    declareOption(ol, "nsplits", &SplitWiseValidationVMatrix::nsplits,
                  OptionBase::buildoption,
                  "Number of splits to consider, starting from the first one.\n"
                  "If < 0, then all splits are considered (based on the number\n"
                  "of splits of the first expdir).");
    declareOption(ol, "add_column_average", &SplitWiseValidationVMatrix::add_column_average,
                  OptionBase::buildoption,
                  "Indication that the average of the columns should be added.");

    // Now call the parent class' declareOptions
    inherited::declareOptions(ol);
}

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static const PPath& PLearn::SplitWiseValidationVMatrix::declaringFile ( ) [inline, static]

Reimplemented from PLearn::RowBufferedVMatrix.

Definition at line 81 of file SplitWiseValidationVMatrix.h.

:
    //#####  Protected Options  ###############################################
SplitWiseValidationVMatrix * PLearn::SplitWiseValidationVMatrix::deepCopy ( CopiesMap copies) const [virtual]

Reimplemented from PLearn::RowBufferedVMatrix.

Definition at line 53 of file SplitWiseValidationVMatrix.cc.

void PLearn::SplitWiseValidationVMatrix::getNewRow ( int  i,
const Vec v 
) const [protected, virtual]

Fill the vector 'v' with the content of the i-th row.

'v' is assumed to be the right size.

Implements PLearn::RowBufferedVMatrix.

Definition at line 59 of file SplitWiseValidationVMatrix.cc.

References data.

{
    v << data(i);
}
OptionList & PLearn::SplitWiseValidationVMatrix::getOptionList ( ) const [virtual]

Reimplemented from PLearn::Object.

Definition at line 53 of file SplitWiseValidationVMatrix.cc.

OptionMap & PLearn::SplitWiseValidationVMatrix::getOptionMap ( ) const [virtual]

Reimplemented from PLearn::Object.

Definition at line 53 of file SplitWiseValidationVMatrix.cc.

RemoteMethodMap & PLearn::SplitWiseValidationVMatrix::getRemoteMethodMap ( ) const [virtual]

Reimplemented from PLearn::Object.

Definition at line 53 of file SplitWiseValidationVMatrix.cc.

void PLearn::SplitWiseValidationVMatrix::makeDeepCopyFromShallowCopy ( CopiesMap copies) [virtual]

Transforms a shallow copy into a deep copy.

Reimplemented from PLearn::RowBufferedVMatrix.

Definition at line 140 of file SplitWiseValidationVMatrix.cc.

References data, PLearn::deepCopyField(), PLearn::RowBufferedVMatrix::makeDeepCopyFromShallowCopy(), and split_stats_ppaths.

{
    inherited::makeDeepCopyFromShallowCopy(copies);

    deepCopyField(split_stats_ppaths, copies);
    deepCopyField(data, copies);

    //PLERROR("SplitWiseValidationVMatrix::makeDeepCopyFromShallowCopy not fully (correctly) implemented yet!");
}

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Member Data Documentation

Reimplemented from PLearn::RowBufferedVMatrix.

Definition at line 81 of file SplitWiseValidationVMatrix.h.

Indication that the average of the columns should be added.

Definition at line 70 of file SplitWiseValidationVMatrix.h.

Referenced by build_(), and declareOptions().

Contains all information about this VMatrix.

Definition at line 93 of file SplitWiseValidationVMatrix.h.

Referenced by build_(), getNewRow(), and makeDeepCopyFromShallowCopy().

Number of splits to consider, starting from the first one.

Definition at line 67 of file SplitWiseValidationVMatrix.h.

Referenced by build_(), and declareOptions().

PPath of the experiment split_stats.pmat.

Definition at line 61 of file SplitWiseValidationVMatrix.h.

Referenced by build_(), declareOptions(), and makeDeepCopyFromShallowCopy().

Index of the validation error statistic column.

Definition at line 64 of file SplitWiseValidationVMatrix.h.

Referenced by build_(), and declareOptions().


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