Package mklab.JGNN.adhoc.parsers

package mklab.JGNN.adhoc.parsers

Contains model builders that parse expression of the Neuralang scripting language to simplify mathematical parts of the definitions. This avoid hand-wiring data transfers and makes for concise model creation. Different builders correspond to a different practical needs for architecture definitions.

Author:

Emmanouil Krasanakis

Related Packages

Package	Description
mklab.JGNN.adhoc	Contains classes that simplify data loading, model building, and training.
mklab.JGNN.adhoc.datasets	Contains datasets for out-of-the-box experimentation.
mklab.JGNN.adhoc.train	Contains model training strategies that correspond to different predictive tasks.

Classes

Class	Description
FastBuilder	Extends the capabilities of LayeredBuilder to use for node classification.
LayeredBuilder	Extends the capabilities of the ModelBuilder with the ability to define multilayer (e.g.
Neuralang	Extends the base ModelBuilder with the full capabilities of the Neuralang scripting language.