hash_resample_result

:: <a rd-options="" href="/link/Task?package=mlr3&version=0.1.2" data-mini-rdoc="mlr3::Task">Task</a>.

task

:: <a rd-options="" href="/link/Learner?package=mlr3&version=0.1.2" data-mini-rdoc="mlr3::Learner">Learner</a>.

learner

:: <a rd-options="" href="/link/Resampling?package=mlr3&version=0.1.2" data-mini-rdoc="mlr3::Resampling">Resampling</a>.

resampling

Exported for add-on packages.
Calculates the hash of the <a rd-options="" href="/link/ResampleResult?package=mlr3&version=0.1.2" data-mini-rdoc="mlr3::ResampleResult">ResampleResult</a> given a <a rd-options="" href="/link/Task?package=mlr3&version=0.1.2" data-mini-rdoc="mlr3::Task">Task</a>, a <a rd-options="" href="/link/Learner?package=mlr3&version=0.1.2" data-mini-rdoc="mlr3::Learner">Learner</a> and a <a rd-options="" href="/link/Resampling?package=mlr3&version=0.1.2" data-mini-rdoc="mlr3::Resampling">Resampling</a>.

internal

Efficient, object-oriented programming on the building blocks of
machine learning. Provides 'R6' objects for tasks, learners, resamplings,
and measures. The package is geared towards scalability and larger datasets
by supporting parallelization and out-of-memory data-backends like
databases. While 'mlr3' focuses on the core computational operations,
add-on packages provide additional functionality.

Michel Lang

mlr3

Machine Learning in R - Next Generation

Bernd Bischl

Jakob Richter

Patrick Schratz

Giuseppe Casalicchio

Stefan Coors

Quay Au

Martin Binder

hash_resample_result function

:: <a rd-options='' href='Task'>Task</a>.

:: <a rd-options='' href='Learner'>Learner</a>.

:: <a rd-options='' href='Resampling'>Resampling</a>.

Exported for add-on packages.
Calculates the hash of the <a rd-options='' href='ResampleResult'>ResampleResult</a> given a <a rd-options='' href='Task'>Task</a>, a <a rd-options='' href='Learner'>Learner</a> and a <a rd-options='' href='Resampling'>Resampling</a>.

hash_resample_result: Calculate the Hash for a ResampleResult

Description

Usage

Arguments

Value