vetiver (version 0.2.7)

vetiver_plot_metrics: Plot model metrics over time for monitoring

Description

These three functions can be used for model monitoring (such as in a monitoring dashboard):

• vetiver_compute_metrics() computes metrics (such as accuracy for a classification model or RMSE for a regression model) at a chosen time aggregation period

• vetiver_pin_metrics() updates an existing pin storing model metrics over time

• vetiver_plot_metrics() creates a plot of metrics over time

Usage

vetiver_plot_metrics(
  df_metrics,
  .index = .index,
  .estimate = .estimate,
  .metric = .metric,
  .n = .n
)

Value

A ggplot2 object.

Arguments

df_metrics

A tidy dataframe of metrics over time, such as created by vetiver_compute_metrics().

.index

The variable in df_metrics containing the aggregated dates or date-times (from time_var in data). Defaults to .index.

.estimate

The variable in df_metrics containing the metric estimate. Defaults to .estimate.

.metric

The variable in df_metrics containing the metric type. Defaults to .metric.

.n

The variable in df_metrics containing the number of observations used for estimating the metric.

See Also

vetiver_compute_metrics(), vetiver_pin_metrics()