mvpa2.clfs.stats.AdaptiveNullDist¶

class
mvpa2.clfs.stats.
AdaptiveNullDist
(dist, **kwargs)¶ Adaptive distribution which adjusts parameters according to the data
WiP: internal implementation might change
Attributes
descr
Description of the object if any tail
Methods
cdf
(x)Return value of the cumulative distribution function at x
.dists
()Implementations returns a sequence of the dist_class
instances that were used to fit the distribution.fit
(measure, wdata[, vdata])Cares about dimensionality of the feature space in measure p
(x[, return_tails])Returns the pvalue for values of x
.rcdf
(x)Implementations return the value of the reverse cumulative distribution function. reset
()Parameters: dist : distribution object
This can be any object the has a
cdf()
method to report the cumulative distribition function values.enable_ca : None or list of str
Names of the conditional attributes which should be enabled in addition to the default ones
disable_ca : None or list of str
Names of the conditional attributes which should be disabled
tail : {‘left’, ‘right’, ‘any’, ‘both’}
Which tail of the distribution to report. For ‘any’ and ‘both’ it chooses the tail it belongs to based on the comparison to p=0.5. In the case of ‘any’ significance is taken like in a onetailed test.
descr : str
Description of the instance
Attributes
descr
Description of the object if any tail
Methods
cdf
(x)Return value of the cumulative distribution function at x
.dists
()Implementations returns a sequence of the dist_class
instances that were used to fit the distribution.fit
(measure, wdata[, vdata])Cares about dimensionality of the feature space in measure p
(x[, return_tails])Returns the pvalue for values of x
.rcdf
(x)Implementations return the value of the reverse cumulative distribution function. reset
()
fit
(measure, wdata, vdata=None)¶ Cares about dimensionality of the feature space in measure
