nearest_neighbor: K-nearest neighbors

View source: R/nearest_neighbor.R

nearest_neighborR Documentation

K-nearest neighbors

Description

nearest_neighbor() defines a model that uses the K most similar data points from the training set to predict new samples. This function can fit classification and regression models.

\Sexpr[stage=render,results=rd]{parsnip:::make_engine_list("nearest_neighbor")}

More information on how parsnip is used for modeling is at https://www.tidymodels.org/.

Usage

nearest_neighbor(
  mode = "unknown",
  engine = "kknn",
  neighbors = NULL,
  weight_func = NULL,
  dist_power = NULL
)

Arguments

mode

A single character string for the prediction outcome mode. Possible values for this model are "unknown", "regression", or "classification".

engine

A single character string specifying what computational engine to use for fitting.

neighbors

A single integer for the number of neighbors to consider (often called k). For kknn, a value of 5 is used if neighbors is not specified.

weight_func

A single character for the type of kernel function used to weight distances between samples. Valid choices are: "rectangular", "triangular", "epanechnikov", "biweight", "triweight", "cos", "inv", "gaussian", "rank", or "optimal".

dist_power

A single number for the parameter used in calculating Minkowski distance.

Details

This function only defines what type of model is being fit. Once an engine is specified, the method to fit the model is also defined. See set_engine() for more on setting the engine, including how to set engine arguments.

The model is not trained or fit until the fit() function is used with the data.

References

https://www.tidymodels.org, Tidy Modeling with R, searchable table of parsnip models

See Also

\Sexpr[stage=render,results=rd]{parsnip:::make_seealso_list("nearest_neighbor")}

Examples

show_engines("nearest_neighbor")

nearest_neighbor(neighbors = 11)


parsnip documentation built on June 16, 2022, 5:10 p.m.