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PyMVPA: Python MultiVariate Pattern Analysis
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Class Hierarchy
mvpa.misc.io.ColumnData
mvpa.misc.io.ColumnData
mvpa.misc.io.ColumnData
mvpa.misc.io.DataReader
mvpa.datasets.Dataset
ConfigParser.RawConfigParser
mvpa.clfs.libsvmc._svm.SVMModel
mvpa.clfs.libsvmc._svm.SVMProblem
mvpa.atlases.transformation.TransformationBase
:
Basic class to describe a transformation.
mvpa.atlases.transformation.TypeProxy
:
Simple class to convert from and then back to original type working with list, tuple, ndarray and having
mvpa.misc.copy._EmptyClass
mvpa.base.__Singleton
:
To ensure single instance of a class instantiation (object)
object
:
The most base type
mvpa.atlases.base.BaseAtlas
:
Base class for the atlases.
exceptions.BaseException
:
Common base class for all exceptions
exceptions.Exception
:
Common base class for all non-exit exceptions.
mvpa.misc.exceptions.ConvergenceError
:
Thrown if some algorithm does not converge to a solution.
mvpa.misc.exceptions.DatasetError
:
Thrown if there is an internal problem with a Dataset.
mvpa.misc.copy.Error
mvpa.misc.exceptions.InvalidHyperparameterError
:
Generic exception to be raised when setting improper values as hyperparameters.
mvpa.misc.exceptions.UnknownStateError
:
Thrown if the internal state of the class is not yet defined.
mvpa.atlases.base.XMLAtlasException
:
Exception to be thrown if smth goes wrong dealing with XML based atlas
mvpa.featsel.helpers.BestDetector
:
Determine whether the last value in a sequence is the best one given some criterion.
mvpa.misc.state.ClassWithCollections
:
Base class for objects which contain any known collection
mvpa.misc.state.CollectableAttribute
:
Base class for any custom behaving attribute intended to become part of a collection.
mvpa.misc.state.Collection
:
Container of some CollectableAttributes.
mvpa.misc.io.base.DataReader
:
Base class for data readers.
mvpa.datasets.base.Dataset
:
The
Dataset.
mvpa.misc.support.Harvester
:
World domination helper: do whatever it is asked and accumulate results
mvpa.misc.support.HarvesterCall
mvpa.clfs.kernel.Kernel
:
Kernel function base class.
mvpa.atlases.base.Label
:
Represents a label.
mvpa.atlases.base.Level
:
Represents a level.
mvpa.base.verbosity.Logger
:
Base class to provide logging
mvpa.misc.support.MapOverlap
:
Compute some overlap stats from a sequence of binary maps.
mvpa.mappers.base.Mapper
:
Interface to provide mapping between two spaces: IN and OUT.
mvpa.misc.fsl.melodic.MelodicResults
:
Easy access to MELODIC output.
mvpa.datasets.meta.MetaDataset
:
Dataset container
mvpa.mappers.metric.Metric
:
Abstract class for any finder.
mvpa.clfs.model_selector.ModelSelector
:
Model selection facility.
mvpa.clfs.stats.Nonparametric
:
Non-parametric 1d distribution -- derives cdf based on stored values.
mvpa.misc.cmdline.OptionGroups
:
Group creation is delayed until instance is requested.
mvpa.misc.cmdline.Options
:
Just a convinience placeholder for all available options
mvpa.misc.transformers.OverAxis
:
Helper to apply transformer over specific axis
mvpa.clfs.transerror.ROCCurve
:
Generic class for ROC curve computation and plotting
mvpa.base.verbosity.RelativeTime
:
Simple helper class to provide relative time it took from previous invocation
mvpa.clfs.libsvmc._svm.SVMParameter
:
SVMParameter class safe to be deepcopied.
mvpa.datasets.splitter.Splitter
:
Base class of dataset splitters.
mvpa.featsel.helpers.StoppingCriterion
:
Base class for all functors to decide when to stop RFE (or may be general optimization...
mvpa.clfs.transerror.SummaryStatistics
:
Basic class to collect targets/predictions and report summary statistics
mvpa.base.verbosity.TraceBack
mvpa.misc.io.meg.TuebingenMEG
:
Reader for MEG data from line-based textfile format.
mvpa.misc.vproperty.VProperty
:
Provides "virtual" property: uses derived class's method
mvpa.clfs.warehouse.Warehouse
:
Class to keep known instantiated classifiers
mvpa.misc.errorfx._ErrorFx
:
Common error function interface, computing the difference between some target and some predicted values.
mvpa.clfs.libsvmc._svm.SVMParameter._SVMCParameter
:
Internal class to to avoid memory leaks returning away svmc's params
dict
:
dict() -> new empty dictionary.
mvpa.clfs.stats.rv_semifrozen
:
Helper proxy-class to fit distribution when some parameters are known
type
:
type(object) -> the object's type type(name, bases, dict) -> a new type
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PyMVPA: Python MultiVariate Pattern Analysis
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