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Package mvpa :: Package clfs :: Module transerror :: Class RegressionStatistics

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Class RegressionStatistics

Class to contain information and display on regression results.

Instance Methods

__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__, __getattribute__, __hash__, __new__, __reduce__, __reduce_ex__, __repr__, __setattr__

Class Variables

_STATS_DESCRIPTION = 'CCe', 'Error based on correlation coeffi...

Inherited from SummaryStatistics: sets

Instance Variables

Inherited from SummaryStatistics (private): _computed

Properties

Inherited from object: __class__

Method Details

init(self, **kwargs)
(Constructor)

Initialize RegressionStatistics

Parameters:

targets - Optional set of targets
predictions - Optional set of predictions

Overrides: SummaryStatistics.__init__

_compute(self)

Actually compute the confusion matrix based on all the sets

Overrides: SummaryStatistics._compute

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

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)

'Pretty print' the statistics

Overrides: SummaryStatistics.asstring

error(self)

Decorators:

@property

Overrides: SummaryStatistics.error

Class Variable Details

_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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