core

class interlinking.core.StrategyEvaluator(encoding='latin')

This class implements the pipeline for various strategies.

hyperparamTuning(train_data, test_data)

A complete process of distinct steps in figuring out the best ML algorithm with best hyperparameters to toponym interlinking problem.

Parameters

• train_data (str) – Train dataset filename.

• test_data (str) – Test dataset filename.

evaluate(train_data, test_data)

Train and evaluate selected ML algorithms with custom hyper-parameters on dataset.

Parameters

• train_data (str) – Train dataset filename.

• test_data (str) – Test dataset filename.

Return Home