Class Hierarchy

• mvpa.clfs.knn.Classifier
• mvpa.misc.state.CollectableAttribute
• 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
• unittest.TestCase
• unittest.TestCase
• unittest.TestCase
• unittest.TestCase
• mvpa.tests.tests_warehouse.unittest.TestCase
• mvpa.tests.tests_warehouse.unittest.TestCase
• mvpa.tests.test_stats.unittest.TestCase
• unittest.TestCase
• unittest.TestCase
• unittest.TestCase
• unittest.TestCase
• mvpa.tests.tests_warehouse.unittest.TestCase
• unittest.TestCase
• mvpa.tests.tests_warehouse.unittest.TestCase
• unittest.TestCase
• mvpa.tests.tests_warehouse.unittest.TestCase
• unittest.TestCase
• unittest.TestCase
• unittest.TestCase
• unittest.TestCase
• mvpa.tests.tests_warehouse.unittest.TestCase
• unittest.TestCase
• unittest.TestCase
• unittest.TestCase
• unittest.TestCase
• mvpa.tests.tests_warehouse.unittest.TestCase
• unittest.TestCase
• mvpa.tests.tests_warehouse.unittest.TestCase
• mvpa.tests.tests_warehouse.unittest.TestCase
• unittest.TestCase
• mvpa.tests.tests_warehouse.unittest.TestCase
• unittest.TestCase
• unittest.TestCase
• unittest.TestCase
• unittest.TestCase
• unittest.TestCase
• unittest.TestCase
• unittest.TestCase
• mvpa.tests.tests_warehouse.unittest.TestCase
• mvpa.tests.tests_warehouse.unittest.TestCase
• mvpa.tests.tests_warehouse.unittest.TestCase
• unittest.TestCase
• unittest.TestCase
• unittest.TestCase
• mvpa.tests.tests_warehouse.unittest.TestCase
• unittest.TestCase
• mvpa.tests.tests_warehouse.unittest.TestCase
• unittest.TestCase
• unittest.TestCase
• unittest.TestCase
• unittest.TestCase
• unittest.TestCase
• mvpa.tests.tests_warehouse.unittest.TestCase
• mvpa.tests.tests_warehouse.unittest.TestCase
• mvpa.tests.tests_warehouse.unittest.TestCase
• mvpa.tests.tests_warehouse.unittest.TestCase
• mvpa.tests.tests_warehouse.unittest.TestCase
• mvpa.tests.tests_warehouse.unittest.TestCase
• unittest.TestCase
• unittest.TestProgram
• mvpa.atlases.transformation.TransformationBase: Basic class to describe a transformation. Pretty much an interface
• mvpa.atlases.transformation.TypeProxy: Simple class to convert from and then back to original type working with list, tuple, ndarray and having
• distutils.version.Version: Abstract base class for version numbering classes. Just provides constructor (__init__) and reproducer (__repr__), because those seem to be the same for all version numbering classes.
• mvpa.support._copy._EmptyClass
• mvpa.base.__Singleton: To ensure single instance of a class instantiation (object)
• mvpa.clfs.libsvmc.svmc._object
• object: The most base type
  • mvpa.atlases.base.BaseAtlas: Base class for the atlases.
  • 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.support._copy.Error
      • mvpa.misc.exceptions.InvalidHyperparameterError: Generic exception to be raised when setting improper values as hyperparameters.
      • mvpa.clfs.base.LearnerError: Base class for exceptions thrown by the learners (classifiers, regressions)
      • 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.ClassWithCollections: Base class for objects which contain any known collection
  • mvpa.misc.attributes.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.stats.DSMatrix: DSMatrix allows for the creation of dissilimarity matrices using arbitrary distance metrics.
  • mvpa.misc.io.base.DataReader: Base class for data readers.
  • mvpa.datasets.base.Dataset: The Dataset.
  • mvpa.misc.fsl.base.FslGLMDesign: Load FSL GLM design matrices from file.
  • mvpa.misc.io.hamster.Hamster: Simple container class with basic IO capabilities.
  • 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. Just to bring all relevant information together
  • mvpa.atlases.base.Level: Represents a level. Just to bring all relevant information together
  • mvpa.base.verbosity.Logger: Base class to provide logging
  • 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. Methods are prefixed correspondingly. forward/reverse operate on the entire dataset. get(In|Out)Id[s] operate per element:
  • mvpa.mappers.base.Mapper: Interface to provide mapping between two spaces: IN and OUT. Methods are prefixed correspondingly. forward/reverse operate on the entire dataset. get(In|Out)Id[s] operate per element:
  • mvpa.misc.fsl.melodic.MelodicResults: Easy access to MELODIC output.
  • mvpa.datasets.meta.MetaDataset: Dataset container
  • mvpa.mappers.metric.Metric: Abstract class for any metric.
  • 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.base.report.Report: Simple PDF reports using reportlab
  • mvpa.base.report_dummy.Report: Dummy report class which does nothing but complains if used
  • mvpa.clfs.libsvmc._svm.SVMParameter: SVMParameter class safe to be deepcopied.
  • mvpa.datasets.splitters.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... so it probably will be moved out into some other module
  • 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.base.info.WTF: Convenience class to contain information about PyMVPA and OS
  • 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 dict(mapping) -> new dictionary initialized from a mapping object's (key, value) pairs dict(iterable) -> new dictionary initialized as if via: d = {} for k, v in iterable: d[k] = v dict(**kwargs) -> new dictionary initialized with the name=value pairs in the keyword argument list.
  • property: property(fget=None, fset=None, fdel=None, doc=None) -> property attribute
  • scipy.stats.distributions.rv_generic: Class which encapsulates common functionality between rv_discrete and rv_continuous.
  • 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