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, ...])	Background Knowledge for a database.
rdn.BoostedRDNClassifier([background, ...])	Relational Dependency Networks Estimator
rdn.BoostedRDNRegressor([background, ...])	Relational Dependency Networks Regressor

Data Sets

There are some toy datasets built into the srlearn package. For more datasets, see the relational-datasets package.

datasets.load_toy_cancer()	Load and return the Toy Cancer dataset.
datasets.load_toy_father()	Load and return the Toy Father dataset.

Plotting and Visualization

These may be helpful for visualizing trees.

plotting.export_digraph(booster[, ...])	Create a digraph representation of a tree.
plotting.plot_digraph(dot_string[, format])	Plot a digraph as an image.

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

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.