partial_effects: Diagnostic plot for assessing effects of individual features...
In nickseedorff/totalvis: totalvis: A Principal Components Approach to Visualizing Total Effects in Black Box Models

Diagnostic plot for assessing effects of individual features on a principal component

partial_effects(
  model,
  X,
  pc_num = 1,
  samp_size = 20,
  num_load = 5,
  type = "regression"
)

`model`	A fitted model object to visualize
`X`	Design matrix that the object was trained on
`pc_num`	Principal component to impute
`samp_size`	Number of steps to take in PC direction
`num_load`	Number of top loadings to plot
`type`	Outcome type, either 'classification' (binary) or 'regression'

nickseedorff/totalvis documentation built on May 12, 2021, 8:49 p.m.

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