srlearn API¶
Core Classes¶
These classes form the set of core pieces for describing the data, providing background knowledge, and learning.
Database() |
Database of examples and facts. |
Background([modes, ok_if_unknown, bridgers, …]) |
Background Knowledge for a database. |
rdn.BoostedRDN([background, target, …]) |
Relational Dependency Networks Estimator |
rdn.BoostedRDNRegressor([background, …]) |
Relational Dependency Networks Regressor |
Data Sets¶
example_data |
A BoostSRL database with the “Toy-Cancer” dataset. |
Utilities¶
Some of these are for behind-the-scenes operations, but tend to be useful for further development (contributions are welcome!).
base.BaseBoostedRelationalModel([…]) |
Base class for deriving boosted relational models |
system_manager.FileSystem() |
BoostSRL File System |
plotting.export_digraph(booster[, …]) |
Create a digraph representation of a tree. |
plotting.plot_digraph(dot_string[, format]) |
Plot a digraph as an image. |
system_manager.reset([soft]) |
Reset the FileSystem |
Deprecated boostsrl objects¶
This is the old API style that has been deprecated. It is no longer tested or actively developed and is pending removal in 0.6.0.
srlearn.boostsrl |
(Deprecated) boostsrl class for training and testing. |