explain: Local Interpretable Model-agnostic Explanations.
In kirillseva/explain: Local Interpretable Model-agnostic Explanations

Local Interpretable Model-agnostic Explanations.

Generate an explanation for a classifier's prediction.

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explain(classifier, onerow, variable_summaries, num_features = 3,
  num_samples = 100, explainer = MASS::lm.ridge,
  feature_selection = "auto", ...)

`classifier`	tundraContainer. Can be either a `tundraContainer` or a `list` with a `predict` method attached.
`onerow`	data.frame. A one-row dataframe around which we want to get a local approximation.
`variable_summaries`	list. A named list that defines means and standard deviations for the variables that need to be perturbed.