Mapper to project from one space to another using Procrustean transformation (shift + scaling + rotation).
Training this mapper requires data for both source and target space to be present in the training dataset. The source space data is taken from the training dataset’s samples, while the target space is taken from a sample attribute corresponding to the space setting of the ProcrusteanMapper.
See: http://en.wikipedia.org/wiki/Procrustes_transformation
Notes
Available conditional attributes:
(Conditional attributes enabled by default suffixed with +)
Methods
forward(data) | Map data from input to output space. |
forward1(data) | Wrapper method to map single samples. |
generate(ds) | Yield processing results. |
get_postproc() | Returns the post-processing node or None. |
get_space() | Query the processing space name of this node. |
reset() | |
reverse(data) | Reverse-map data from output back into input space. |
reverse1(data) | Wrapper method to map single samples. |
set_postproc(node) | Assigns a post-processing node |
set_space(name) | Set the processing space name of this node. |
train(ds) | The default implementation calls _pretrain(), _train(), and finally _posttrain(). |
untrain() | Reverts changes in the state of this node caused by previous training |
Initialize instance of ProcrusteanMapper
Parameters: | scaling : bool, optional
reflection : bool, optional
reduction : bool, optional
oblique : bool, optional
oblique_rcond : float, optional
svd : {numpy, scipy, dgesvd}, optional
enable_ca : None or list of str
disable_ca : None or list of str
demean : bool
auto_train : bool
force_train : bool
space : str, optional
pass_attr : str, list of str|tuple, optional
postproc : Node instance, optional
descr : str
|
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Methods
forward(data) | Map data from input to output space. |
forward1(data) | Wrapper method to map single samples. |
generate(ds) | Yield processing results. |
get_postproc() | Returns the post-processing node or None. |
get_space() | Query the processing space name of this node. |
reset() | |
reverse(data) | Reverse-map data from output back into input space. |
reverse1(data) | Wrapper method to map single samples. |
set_postproc(node) | Assigns a post-processing node |
set_space(name) | Set the processing space name of this node. |
train(ds) | The default implementation calls _pretrain(), _train(), and finally _posttrain(). |
untrain() | Reverts changes in the state of this node caused by previous training |