summary_histogram {tfevents}

Creates an histogram summary

Description

Writes an histogram for later analysis in TensorBoard's Histograms and Distributions tab.

Usage

summary_histogram(data, ..., metadata = NULL, tag = NA)

## S3 method for class 'numeric'
summary_histogram(data, ..., metadata = NULL, tag = NA, buckets = 30)

## S3 method for class 'array'
summary_histogram(data, ..., metadata = NULL, tag = NA, buckets = 30)

Arguments

data

A Tensor of any shape. The histogram is computed over its elements, which must be castable to float64.

...

Currently unused. To allow future expansion.

metadata

A metadata object, as created with summary_metadata(). In most cases you don't need to change the default.

tag

A tag that within the TensorBoard UI. See log_event() for other ways of specifying the tag attribute.

buckets

Optional positive int. The output will have this many buckets, except in two edge cases. If there is no data, then there are no buckets. If there is data but all points have the same value, then all buckets' left and right endpoints are the same and only the last bucket has nonzero count. Defaults to 30 if not specified.

Value

An histogram summary that can be logged with log_event().

Methods (by class)

• summary_histogram(numeric): Creates an histogram summary for a numeric vector.

• summary_histogram(array): Creates an histogram for array data.

See Also

Other summary: summary_audio(), summary_image(), summary_scalar(), summary_text()

Examples

temp <- tempfile()
with_logdir(temp, {
  for(i in 1:10) {
    log_event(x = summary_histogram(rnorm(10000)))
  }
})