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. |
