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. |