Multivariate Pattern Analysis in Python

### Navigation

- index
- modules |
- modules |
- PyMVPA Home |
- Sitemap »

# mvpa2.clfs.stats

Estimator for classifier error distributions.

Functions

`auto_null_dist`(dist) | Cheater for human beings – wraps `dist` if needed with some
`is_datasetlike`(obj) | Check if an object looks like a Dataset.
`kstest`(rvs, cdf[, args, N, alternative, mode]) | Perform the Kolmogorov-Smirnov test for goodness of fit.
`match_distribution`(data[, nsamples, loc, ...]) | Determine best matching distribution.
`nanmean`(x[, axis]) | Compute the mean over the given axis ignoring NaNs.

Classes

`AdaptiveNormal`(dist, **kwargs) | Adaptive Normal Distribution: params are (0, sqrt(1/nfeatures)) ..
`AdaptiveNullDist`(dist, **kwargs) | Adaptive distribution which adjusts parameters according to the data WiP: internal implementation might change ..
`AdaptiveRDist`(dist, **kwargs) | Adaptive rdist: params are (nfeatures-1, 0, 1) ..
`AttributePermutator`(attr[, count, limit, assure]) | Node to permute one a more attributes in a dataset.
`ClassWithCollections`([descr]) | Base class for objects which contain any known collection Classes inherited from this class gain ability to access collections and their items as simple attributes.
`ConditionalAttribute`([enabled]) | Simple container intended to conditionally store the value ..
`Dataset`(samples[, sa, fa, a]) | Generic storage class for datasets with multiple attributes.
`FixedNullDist`(dist, **kwargs) | Proxy/Adaptor class for SciPy distributions.
`MCNullDist`(permutator[, dist_class, measure]) | Null-hypothesis distribution is estimated from randomly permuted data labels.
`Nonparametric`(dist_samples[, correction]) | Non-parametric 1d distribution – derives cdf based on stored values.
`NullDist`([tail]) | Base class for null-hypothesis testing.
`rv_semifrozen`(dist[, loc, scale, args]) | Helper proxy-class to fit distribution when some parameters are known It is an ugly hack with snippets of code taken from scipy, which is Copyright (c) 2001, 2002 Enthought, Inc.

### Navigation

- index
- modules |
- modules |
- PyMVPA Home |
- Sitemap »