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mvpa.clfs.baseΒΆ
Base class for all XXX learners: classifiers and regressions.
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. |
