Combines different learners into one in a chained fashion
Notes
Available conditional attributes:
(Conditional attributes enabled by default suffixed with +)
Methods
append(node) | Append a node to the chain. | ||
generate(ds[, startnode]) |
|
||
get_postproc() | Returns the post-processing node or None. | ||
get_space() | Query the processing space name of this node. | ||
reset() | |||
set_postproc(node) | Assigns a post-processing node | ||
set_space(name) | Set the processing space name of this node. | ||
train(ds) | |||
untrain() |
Initializes with measures
Parameters: | learners: list or tuple :
enable_ca : None or list of str
disable_ca : None or list of str
nodes: list :
space : str, optional
pass_attr : str, list of str|tuple, optional
postproc : Node instance, optional
descr : str
auto_train : bool
force_train : bool
|
---|
Methods
append(node) | Append a node to the chain. | ||
generate(ds[, startnode]) |
|
||
get_postproc() | Returns the post-processing node or None. | ||
get_space() | Query the processing space name of this node. | ||
reset() | |||
set_postproc(node) | Assigns a post-processing node | ||
set_space(name) | Set the processing space name of this node. | ||
train(ds) | |||
untrain() |