mvpa2.clfs.baseΒΆ

Base class for all XXX learners: classifiers and regressions.

Inheritance diagram of mvpa2.clfs.base

Functions

accepts_dataset_as_samples(fx) Decorator to extract samples from Datasets.
accepts_samples_as_dataset(fx) Decorator to wrap samples into a Dataset.
deepcopy(x[, memo, _nil]) Deep copy operation on arbitrary Python objects.
idhash(val) Craft unique id+hash for an object
is_datasetlike(obj) Check if an object looks like a Dataset.

Classes

AttributeMap([map, mapnumeric, ...]) Map to translate literal values to numeric ones (and back).
Classifier(**kwargs[, space]) Abstract classifier class to be inherited by all classifiers ..
ConditionalAttribute(*args, **kwargs[, enabled]) Simple container intended to conditionally store the value
ConfusionMatrix(**kwargs[, labels, labels_map]) Class to contain information and display confusion matrix.
Dataset(samples[, sa, fa, a]) Generic storage class for datasets with multiple attributes.
Learner(**kwargs[, auto_train, force_train]) Common trainable processing object.
Measure(**kwargs[, null_dist]) A measure computed from a Dataset
Parameter(default, **kwargs[, ro, index, ...]) This class shall serve as a representation of a parameter.
RegressionStatistics(**kwargs) Class to contain information and display on regression results.

Exceptions

AttributeMap([map, mapnumeric, ...]) Map to translate literal values to numeric ones (and back).
Classifier(**kwargs[, space]) Abstract classifier class to be inherited by all classifiers ..
ConditionalAttribute(*args, **kwargs[, enabled]) Simple container intended to conditionally store the value
ConfusionMatrix(**kwargs[, labels, labels_map]) Class to contain information and display confusion matrix.
Dataset(samples[, sa, fa, a]) Generic storage class for datasets with multiple attributes.
Learner(**kwargs[, auto_train, force_train]) Common trainable processing object.
Measure(**kwargs[, null_dist]) A measure computed from a Dataset
Parameter(default, **kwargs[, ro, index, ...]) This class shall serve as a representation of a parameter.
RegressionStatistics(**kwargs) Class to contain information and display on regression results.

NeuroDebian

NITRC-listed