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PyMVPA: Python MultiVariate Pattern Analysis
Package mvpa :: Package clfs :: Module transerror :: Class RegressionStatistics
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Class RegressionStatistics

source code

Class to contain information and display on regression results.
Instance Methods [hide private]
 
__init__(self, **kwargs)
Initialize RegressionStatistics		 source code
 
_compute(self)
Actually compute the confusion matrix based on all the sets		 source code
 
plot(self, plot=True, plot_stats=True, splot=True)
Provide presentation of regression performance in image		 source code
 
asstring(self, short=False, header=True, summary=True, description=False)
'Pretty print' the statistics		 source code
 
error(self) source code

Inherited from SummaryStatistics: __add__, __iadd__, __str__, add, compute, reset, stats, summaries

Inherited from object: __delattr__, __format__, __getattribute__, __hash__, __new__, __reduce__, __reduce_ex__, __repr__, __setattr__, __sizeof__, __subclasshook__

Class Variables [hide private]
  _STATS_DESCRIPTION = 'CCe', 'Error based on correlation coeffi...

Inherited from SummaryStatistics: sets

Instance Variables [hide private]

Inherited from SummaryStatistics (private): _computed, _stats

Properties [hide private]

Inherited from object: __class__

Method Details [hide private]

__init__(self, **kwargs)
(Constructor)

source code 
Initialize RegressionStatistics
Parameters:
  • targets - Optional set of targets
  • predictions - Optional set of predictions
Overrides: object.__init__

_compute(self)

source code 
Actually compute the confusion matrix based on all the sets
Overrides: SummaryStatistics._compute

plot(self, plot=True, plot_stats=True, splot=True)

source code 
Provide presentation of regression performance in image
Parameters:
  • plot (bool) - Plot regular plot of values (targets/predictions)
  • plot_stats (bool) - Print basic statistics in the title
  • splot (bool) - Plot scatter plot
Returns:
(fig, im, cb) -- figure, imshow, colorbar

asstring(self, short=False, header=True, summary=True, description=False)

source code 
'Pretty print' the statistics
Parameters:
  • short - if True, ignores the rest of the parameters and provides consise 1 line summary
  • header - print header of the table
  • summary - print summary (accuracy)
  • description - print verbose description of presented statistics
Overrides: SummaryStatistics.asstring

error(self)

source code 
Decorators:
  • @property
Overrides: SummaryStatistics.error

Class Variable Details [hide private]

_STATS_DESCRIPTION

Value:
'CCe', 'Error based on correlation coefficient', '1 - corr_coef', ('CC\
p', 'Correlation coefficient (p-value)', None), ('RMSE', 'Root mean sq\
uared error', None), ('STD', 'Standard deviation', None), ('RMP', 'Roo\
t mean power (compare to RMSE of results)', 'sqrt(mean( data**2 ))'),+\
 SummaryStatistics._STATS_DESCRIPTION

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PyMVPA: Python MultiVariate Pattern Analysis
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