reexports

clbk

clbks

mlr_terminators

trms

as.data.table

TaskClust

as_task_clust

as_prediction_clust

mlr_filters

flts

mlr_fselectors

AutoFSelector

FSelectInstanceSingleCrit

FSelectInstanceMultiCrit

extract_inner_fselect_results

extract_inner_fselect_archives

fselect

fselect_nested

auto_fselector

hyperband_budget

hyperband_n_configs

hyperband_schedule

mlr_pipeops

mlr_graphs

%&gt;&gt;%

%&gt;&gt;!%

greplicate

gunion

chain_graphs

concat_graphs

GraphLearner

as_graph

as_pipeop

selector_all

selector_cardinality_greater_than

selector_grep

selector_intersect

selector_invert

selector_missing

selector_name

selector_none

selector_setdiff

selector_type

selector_union

mlr_tuners

tnrs

AutoTuner

TuningInstanceSingleCrit

TuningInstanceMultiCrit

extract_inner_tuning_results

extract_inner_tuning_archives

tune

tune_nested

auto_tuner

mlr_tuning_spaces

ltss

autoplot

fortify

plot_learner_prediction

p_lgl

p_int

p_dbl

p_fct

p_uty

to_tune

generate_design_grid

generate_design_lhs

generate_design_random

These objects are imported from other packages. Follow the links
below to see their documentation.
<dl>
 <dt>bbotk</dt>
<dd><code>mlr_terminators</code>, <code>trm</code>, <code>trms</code></dd>
 <dt>data.table</dt>
<dd><code><a href="https://rdatatable.gitlab.io/data.table/reference/as.data.table.html">as.data.table</a></code></dd>
 <dt>mlr3cluster</dt>
<dd><code>as_prediction_clust</code>, <code>as_task_clust</code>, <code>TaskClust</code></dd>
 <dt>mlr3filters</dt>
<dd><code>flt</code>, <code>flts</code>, <code>mlr_filters</code></dd>
 <dt>mlr3fselect</dt>
<dd><code>auto_fselector</code>, <code>AutoFSelector</code>, <code>extract_inner_fselect_archives</code>, <code>extract_inner_fselect_results</code>, <code>fs</code>, <code>fselect</code>, <code>fselect_nested</code>, <code>FSelectInstanceMultiCrit</code>, <code>FSelectInstanceSingleCrit</code>, <code>fsi</code>, <code>mlr_fselectors</code></dd>
 <dt>mlr3hyperband</dt>
<dd><code>hyperband_budget</code>, <code>hyperband_n_configs</code>, <code>hyperband_schedule</code></dd>
 <dt>mlr3misc</dt>
<dd><code>clbk</code>, <code>clbks</code></dd>
 <dt>mlr3pipelines</dt>
<dd><code>%&gt;&gt;!%</code>, <code>%&gt;&gt;%</code>, <code>as_graph</code>, <code>as_pipeop</code>, <code>chain_graphs</code>, <code>concat_graphs</code>, <code>GraphLearner</code>, <code>greplicate</code>, <code>gunion</code>, <code>mlr_graphs</code>, <code>mlr_pipeops</code>, <code>po</code>, <code>pos</code>, <code>ppl</code>, <code>selector_all</code>, <code>selector_cardinality_greater_than</code>, <code>selector_grep</code>, <code>selector_intersect</code>, <code>selector_invert</code>, <code>selector_missing</code>, <code>selector_name</code>, <code>selector_none</code>, <code>selector_setdiff</code>, <code>selector_type</code>, <code>selector_union</code></dd>
 <dt>mlr3tuning</dt>
<dd><code>auto_tuner</code>, <code>AutoTuner</code>, <code>extract_inner_tuning_archives</code>, <code>extract_inner_tuning_results</code>, <code>mlr_tuners</code>, <code>ti</code>, <code>tnr</code>, <code>tnrs</code>, <code>tune</code>, <code>tune_nested</code>, <code>TuningInstanceMultiCrit</code>, <code>TuningInstanceSingleCrit</code></dd>
 <dt>mlr3tuningspaces</dt>
<dd><code>lts</code>, <code>ltss</code>, <code>mlr_tuning_spaces</code></dd>
 <dt>mlr3viz</dt>
<dd><code>autoplot</code>, <code>fortify</code>, <code>plot_learner_prediction</code></dd>
 <dt>paradox</dt>
<dd><code>generate_design_grid</code>, <code>generate_design_lhs</code>, <code>generate_design_random</code>, <code>p_dbl</code>, <code>p_fct</code>, <code>p_int</code>, <code>p_lgl</code>, <code>p_uty</code>, <code>ps</code>, <code>to_tune</code></dd>
</dl>

internal

The 'mlr3' package family is a set of packages for
machine-learning purposes built in a modular fashion. This wrapper
package is aimed to simplify the installation and loading of the core
'mlr3' packages. Get more information about the 'mlr3' project at
<https://mlr3book.mlr-org.com/>.

Michel Lang

mlr3verse

Easily Install and Load the 'mlr3' Package Family

Patrick Schratz

reexports function

These objects are imported from other packages. Follow the links
below to see their documentation.
<dl>
 <dt>bbotk</dt>
<dd><code>mlr_terminators</code>, <code>trm</code>, <code>trms</code></dd>


 <dt>data.table</dt>
<dd><code><a href='https://rdatatable.gitlab.io/data.table/reference/as.data.table.html'>as.data.table</a></code></dd>


 <dt>mlr3cluster</dt>
<dd><code>as_prediction_clust</code>, <code>as_task_clust</code>, <code>TaskClust</code></dd>


 <dt>mlr3filters</dt>
<dd><code>flt</code>, <code>flts</code>, <code>mlr_filters</code></dd>


 <dt>mlr3fselect</dt>
<dd><code>auto_fselector</code>, <code>AutoFSelector</code>, <code>extract_inner_fselect_archives</code>, <code>extract_inner_fselect_results</code>, <code>fs</code>, <code>fselect</code>, <code>fselect_nested</code>, <code>FSelectInstanceMultiCrit</code>, <code>FSelectInstanceSingleCrit</code>, <code>fsi</code>, <code>mlr_fselectors</code></dd>


 <dt>mlr3hyperband</dt>
<dd><code>hyperband_budget</code>, <code>hyperband_n_configs</code>, <code>hyperband_schedule</code></dd>


 <dt>mlr3misc</dt>
<dd><code>clbk</code>, <code>clbks</code></dd>


 <dt>mlr3pipelines</dt>
<dd><code>%&gt;&gt;!%</code>, <code>%&gt;&gt;%</code>, <code>as_graph</code>, <code>as_pipeop</code>, <code>chain_graphs</code>, <code>concat_graphs</code>, <code>GraphLearner</code>, <code>greplicate</code>, <code>gunion</code>, <code>mlr_graphs</code>, <code>mlr_pipeops</code>, <code>po</code>, <code>pos</code>, <code>ppl</code>, <code>selector_all</code>, <code>selector_cardinality_greater_than</code>, <code>selector_grep</code>, <code>selector_intersect</code>, <code>selector_invert</code>, <code>selector_missing</code>, <code>selector_name</code>, <code>selector_none</code>, <code>selector_setdiff</code>, <code>selector_type</code>, <code>selector_union</code></dd>


 <dt>mlr3tuning</dt>
<dd><code>auto_tuner</code>, <code>AutoTuner</code>, <code>extract_inner_tuning_archives</code>, <code>extract_inner_tuning_results</code>, <code>mlr_tuners</code>, <code>ti</code>, <code>tnr</code>, <code>tnrs</code>, <code>tune</code>, <code>tune_nested</code>, <code>TuningInstanceMultiCrit</code>, <code>TuningInstanceSingleCrit</code></dd>


 <dt>mlr3tuningspaces</dt>
<dd><code>lts</code>, <code>ltss</code>, <code>mlr_tuning_spaces</code></dd>


 <dt>mlr3viz</dt>
<dd><code>autoplot</code>, <code>fortify</code>, <code>plot_learner_prediction</code></dd>


 <dt>paradox</dt>
<dd><code>generate_design_grid</code>, <code>generate_design_lhs</code>, <code>generate_design_random</code>, <code>p_dbl</code>, <code>p_fct</code>, <code>p_int</code>, <code>p_lgl</code>, <code>p_uty</code>, <code>ps</code>, <code>to_tune</code></dd>


</dl>

Objects exported from other packages — reexports

Objects exported from other packages

reexports: Objects exported from other packages

Description

Arguments