StepOutlier: Debugger StepOutlier class

Description Super class Methods

Description

This rule helps to detect outlier in step durations. Rule returns True if duration is larger than stddev * standard deviation.

Super class

sagemaker.debugger::ProfilerRuleBase -> StepOutlier

Methods

Public methods

Inherited methods

Method new()

Initialize StepOutlier class

Usage
StepOutlier$new(
  stddev = 3,
  mode = NULL,
  n_outliers = 10,
  scan_interval_us = 60 * 1000 * 1000
)
Arguments
stddev

: factor by which to multiply the standard deviation. Default is 3

mode

: select mode under which steps have been saved and on which Rule should run on. Per default rule will run on steps from EVAL and TRAIN phase.

n_outliers

: How many outliers to ignore before rule returns True. Default 10.

scan_interval_us

: interval with which timeline files are scanned. Default is 60000000 us.


Method clone()

The objects of this class are cloneable with this method.

Usage
StepOutlier$clone(deep = FALSE)
Arguments
deep

Whether to make a deep clone.


DyfanJones/sagemaker-r-debugger documentation built on Jan. 20, 2022, 5:49 p.m.