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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...

catbarchart- Plotting categorical data in R

catbarchart is a R function I wrote for a Statistics course. This function coupled with a helper function allows plotting of Continuous data against a categorical Response Variable. Here is the plot you will get if you take famous Cars93 dataset in R and plot some of...

Charting Temporal Trends in Alteryx using sugrrants R package

At times it is useful to chart Temporal Trends. This helps in understanding the cyclic and seasonal trends in Time Series Dataset. A Temporal Trends chart for a number of downloads of a somewhat popular Android game looks as follows: The cyclical patterns of the...
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