tfestimators: plot.tf_estimator_history – R documentation

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tfestimators

plot.tf_estimator_history

Plot training history

Description

Plots metrics recorded during training.

Usage

## S3 method for class 'tf_estimator_history'
plot(x, y, metrics = NULL,
  method = c("auto", "ggplot2", "base"),
  smooth = getOption("tf.estimator.plot.history.smooth", TRUE),
  theme_bw = getOption("tf.estimator.plot.history.theme_bw", FALSE), ...)

Arguments

`x`	Training history object returned from `train()`.
`y`	Unused.
`metrics`	One or more metrics to plot (e.g. `c('total_losses', 'mean_losses')`). Defaults to plotting all captured metrics.
`method`	Method to use for plotting. The default "auto" will use ggplot2 if available, and otherwise will use base graphics.
`smooth`	Whether a loess smooth should be added to the plot, only available for the `ggplot2` method. If the number of data points is smaller than ten, it is forced to false.
`theme_bw`	Use `ggplot2::theme_bw()` to plot the history in black and white.
`...`	Additional parameters to pass to the `plot()` method.

tfestimators

Interface to 'TensorFlow' Estimators

v1.9.1

Apache License 2.0

Authors

JJ Allaire [aut], Yuan Tang [aut] (<https://orcid.org/0000-0001-5243-233X>), Kevin Ushey [aut], Kevin Kuo [aut, cre] (<https://orcid.org/0000-0001-7803-7901>), Daniel Falbel [ctb, cph], RStudio [cph, fnd], Google Inc. [cph]

Initial release

plot.tf_estimator_history

Description

Usage

Arguments

tfestimators

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