core

class polygon_classification.core.StrategyEvaluator

This class implements the pipeline for various strategies.

hyperparamTuning(dataset, classifiers)

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

exec_classifiers(dataset)

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

train(dataset, classifiers)

A complete process of distinct steps in figuring out the best ML algorithm with optimal hyperparameters that best fits to data at hand for the polygon classification problem.

Parameters

• dataset (str) – Name of train dataset

• classifiers (str) – Comma separated classifiers to tune

evaluate(dataset, classifier)

Evaluate the best ML algorithm with optimal hyperparameters to new unseen data.

Parameters

• dataset (str) – Name of train dataset

• classifier (str) – Classifier to train and evaluate

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