Description Usage Arguments Value Examples

Calculate predictive power scores for y
Calculates the predictive power scores for the specified `y`

variable
using every column in the dataset as `x`

, including itself.

1 | ```
score_predictors(df, y, ..., do_parallel = FALSE, n_cores = -1)
``` |

`df` |
data.frame containing columns for x and y |

`y` |
string, column name of target variable |

`...` |
any arguments passed to |

`do_parallel` |
bool, whether to perform |

`n_cores` |
numeric, number of cores to use, defaults to maximum minus 1 |

a data.frame containing

- x
the name of the predictor variable

- y
the name of the target variable

- result_type
text showing how to interpret the resulting score

- pps
the predictive power score

- metric
the evaluation metric used to compute the PPS

- baseline_score
the score of a naive model on the evaluation metric

- model_score
the score of the predictive model on the evaluation metric

- cv_folds
how many cross-validation folds were used

- seed
the seed that was set

- algorithm
text shwoing what algorithm was used

- model_type
text showing whether classification or regression was used

1 2 | ```
score_predictors(df = iris, y = 'Species')
score_predictors(df = mtcars, y = 'mpg', do_parallel = TRUE, n_cores = 2)
``` |

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