mvpa2.base.learnerΒΆ
Implementation of a common trainable processing object (Learner).
Functions
| is_datasetlike(obj) | Check if an object looks like a Dataset. |
Classes
| AttrDataset(samples[, sa, fa, a]) | Generic storage class for datasets with multiple attributes. |
| ChainLearner(learners[, auto_train, force_train]) | Combines different learners into one in a chained fashion |
| ChainNode(nodes, **kwargs) | This class allows to concatenate a list of nodes into a processing chain. |
| CombinedLearner(learners, combine_axis[, a]) | Notes |
| CombinedNode(nodes, combine_axis[, a]) | Node to pass a dataset on to a set of nodes and combine there output. |
| CompoundLearner(learners[, auto_train, ...]) | Notes |
| CompoundNode(nodes, **kwargs) | List of nodes. |
| ConditionalAttribute([enabled]) | Simple container intended to conditionally store the value |
| Learner([auto_train, force_train]) | Common trainable processing object. |
| Node([space, pass_attr, postproc]) | Common processing object. |
Exceptions
| AttrDataset(samples[, sa, fa, a]) | Generic storage class for datasets with multiple attributes. |
| ChainLearner(learners[, auto_train, force_train]) | Combines different learners into one in a chained fashion |
| ChainNode(nodes, **kwargs) | This class allows to concatenate a list of nodes into a processing chain. |
| CombinedLearner(learners, combine_axis[, a]) | Notes |
| CombinedNode(nodes, combine_axis[, a]) | Node to pass a dataset on to a set of nodes and combine there output. |
| CompoundLearner(learners[, auto_train, ...]) | Notes |
| CompoundNode(nodes, **kwargs) | List of nodes. |
| ConditionalAttribute([enabled]) | Simple container intended to conditionally store the value |
| Learner([auto_train, force_train]) | Common trainable processing object. |
| Node([space, pass_attr, postproc]) | Common processing object. |
