loadModels()

Description

loadModels() is a function used to open a .lpm model file and load the models from it. The trained models are returned in a dictionary, as well as the training parameters.

Argument, keywords and outputs

Input(s) / Argument(s)

Name	Flag	Type	Description
Model file		str	Relative path to the model file to load and read.

Output(s)

Name	Type	Description
Models	dict	Scikit-learn models trained on the input systems for molecule classification.
Training Parameters	dict	Parameters used for the model training.

Examples

Load the model from a file

The following example will open the file test_model.lpm and return the trained models defined inside it into the model dictionary models_dict as well as the training parameters training_params.

import mllpa

models_dict, training_params = mllpa.loadModels('test_model.lpm')