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Modified Fri May 4 08:34:05 2012 UTC (2 years, 8 months ago) by evt
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copy from tmva dev, changes 42527To44009

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Modified Tue Jun 21 11:52:58 2011 UTC (3 years, 7 months ago) by evt
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Modified Thu Mar 17 10:46:00 2011 UTC (3 years, 10 months ago) by evt
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Copied from: branches/dev/tmva/src/PDEFoamEventDensity.cxx revision 38471
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Modified Fri Dec 31 22:48:27 2010 UTC (4 years ago) by avoigt
Original Path: branches/dev/tmva/src/PDEFoamEventDensity.cxx
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Optimization: Do not calculate the sum of weights (after the range
searching) myself, because it is done already by SearchVolume().

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Modified Thu Dec 30 12:21:39 2010 UTC (4 years ago) by avoigt
Original Path: branches/dev/tmva/src/PDEFoamEventDensity.cxx
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Optimization: Calculate the range searching box volume only when the
box has changed.  This is a significant speed improvement if nSampl is
very high (> 10000) or we deal with many dimensions.

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Modified Wed Dec 22 09:03:52 2010 UTC (4 years, 1 month ago) by avoigt
Original Path: branches/dev/tmva/src/PDEFoamEventDensity.cxx
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Copied from: branches/dev/tmvaValidation/PDEFoam2/src/PDEFoamEventDensity.cxx revision 37009
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Merge complete branch  dev/tmvaValidation/PDEFoam3  into  dev/tmva


Release notes:
==============

New PDEFoam structure:
----------------------

The different PDEFoam variants are now subclasses of the class
TMVA::PDEFoam.  These variants are:

  - PDEFoamEvent        (stores the number of events)
  - PDEFoamDiscriminant (stores the discriminant)
  - PDEFoamTarget       (stores a single target)
  - PDEFoamMultiTarget  (variation of PDEFoamEvent)
  - PDEFoamDecisionTree (decision tree-like cell splitting)

Per default PDEFoam stores in the cells the number of events (event
weights) and therefore acts as an event density estimator.  However,
the above listed derived classes override this behaviour to implement
certain PDEFoam variations.

The different PDEFoam's density estimators are now derived classes of
the abstract interface class TMVA::PDEFoamDensityBase.  These density
estimators are:

  - PDEFoamEventDensity        (estimates the event density)
  - PDEFoamDiscriminantDensity (estimates the discriminant density)
  - PDEFoamTargetDensity       (estimates the target density)
  - PDEFoamDecisionTreeDensity (estimates decision tree separation type)

The various PDEFoam kernels are now separate from the PDEFoam class.
The abstract kernel interface is provided by the class
TMVA::PDEFoamKernelBase.  The concrete classes PDEFoamKernelTrivial,
PDEFoamKernelLinN and PDEFoamKernelGauss implement specific kernel
estimators.

Extended PDEFoam functionality:
-------------------------------

  * Multiclass classification via training of one discriminator foam
    for each variable.

  * The cell tree can now be plotted from the macro test/PlotFoams.C
    This makes it easyer to compare the PDEFoam structure to a
    decision tree etc.

  * Variable importance ranking by counting the number of cuts made in
    the diverse dimensions.  The variable, for which the most cuts
    were done is ranked highest.

Fixed bugs:
-----------

  * The size of the sampling box in each dimension was 2*VolFrac times
    the foam size in this dimension.  This was contrast to the
    intention and the documentation in the UserGuide.  This is now
    corrected: The size of the sampling box in each dimension is now
    VolFrac times the foam size in this dimension.  This implies that
    the VolFrac default value must be changed from 0.0333 to 0.0666 to
    lead the same results.

Revision 36992 - (view) (download) (as text) (annotate) - [select for diffs]
Added Fri Nov 26 21:34:59 2010 UTC (4 years, 1 month ago) by avoigt
Original Path: branches/dev/tmvaValidation/PDEFoam2/src/PDEFoamEventDensity.cxx
File length: 5204 byte(s)
First step in making PDEFoam more flexible:

* Define abstract class PDEFoamDensity, which defines an interface for
  the various density estimator functions.  The classes
  PDEFoam*Density are concrete derived classes, which implement the
  concrete density to estimate: event density, target density,
  discriminant density, decision tree density

* The decision tree like pdefoam is now a derived class of PDEFoam and
  simply overrides Explore()

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