deployment

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

This class implements the pipeline for various strategies.

hyperparamTuning(dataset)

A complete process of distinct steps in figuring out the best ML algorithm with optimal hyperparameters that fit the dataset for the toponym interlinking problem.

Parameters

dataset (str) – Name of the dataset to use for training and evaluating various classifiers.

evaluate(dataset)

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

Parameters

dataset (str) – Name of the dataset to use for training and evaluating various classifiers.

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