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A look at sklearn’s LabelPropogation method to carry out semi-supervised learning

Python’s premier machine learning library, sklearn, so far has three functions to carry out semi-supervised learning, being the SelfTrainingClassifier, LabelPropogation, and LabelSpreading.

Semi-supervised learning is a situation where some of the labels in the training data are not labeled. Sklearn’s three semi-supervised estimators are able to make use of the unlabeled data to better capture the shape of the underlying data distribution and generalise better to new samples . These algorithms…

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Tracyrenee

Tracyrenee

I have close to five decades experience in the world of work, being in fast food, the military, business, non-profits, and the healthcare sector.

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