mvpa2.clfs.baseΒΆ
Plumbing for all 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([space]) | Abstract classifier class to be inherited by all classifiers |
| ConditionalAttribute([enabled]) | Simple container intended to conditionally store the value |
| ConfusionMatrix([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([auto_train, force_train]) | Common trainable processing object. |
| Measure([null_dist]) | A measure computed from a Dataset |
| Parameter(default[, constraints, 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([space]) | Abstract classifier class to be inherited by all classifiers |
| ConditionalAttribute([enabled]) | Simple container intended to conditionally store the value |
| ConfusionMatrix([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([auto_train, force_train]) | Common trainable processing object. |
| Measure([null_dist]) | A measure computed from a Dataset |
| Parameter(default[, constraints, ro, index, ...]) | This class shall serve as a representation of a parameter. |
| RegressionStatistics(**kwargs) | Class to contain information and display on regression results. |
