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Interpretable Machine Learning – Partial Dependence Plot

Interpretable Machine Learning – Partial Dependence Plot

A brief overview of the Interpretable AI features in #Knime. This video covers the Partial Dependence Plot in Knime. A Partial Dependence Plot shows how a single continuous predictor variable impacts the output of a model when holding all other predictors constant....

Interpretable Machine Learning – ICE plots in Knime

To improve Machine Learing Interpretability, Knime has introduced Individual Conditional Expectation (ICE) plots. ICE plots enable you to drill down to the level of individual observations, and show you what would happen to the model’s prediction if you varied one...

Calculating the Longest Ngrams from set of NGrams using SparklyR

Recently I had the need to find all the Ngrams from large corpus. The NGrams ranged from 2 words to 40 words per ngram. To calculate the longest Ngrams, I had to find Ngrams that are subset of larger Ngram and remove, keeping the longer one. This ending up with the...