Extra arguments given to run_ml() are now forwarded to caret::train() (#304, @kelly-sovacool). Users can now pass any model-specific arguments (e.g. weights) to caret::train(), allowing greater flexibility. Improved tests (#298, #300, #303 #kelly-sovacool) Minor documentation improvements. Full Changelog: https://github.com/SchlossLab/mikropml/compare/v1.3.0...v1.4.
Fixes for API changes in ggplot2 v3.4.0 and tidyselect v1.2.0 (#42, #44, @kelly-sovacool). pool_taxo...
<p><strong>mlpack</strong> is an intuitive, fast, and flexible C++ machine learning library with bin...
Fix roxygen package doc syntax (https://github.com/r-lib/roxygen2/issues/1491, @kelly-sovacool)
New parameter cross_val added to run_ml() allows users to define their own custom cross-validation s...
This minor patch fixes a test failure on platforms with no long doubles. The actual package code rem...
mikropml now requires R version 4.1.0 or greater due to an update in the randomForest package (#292)...
New functions: bootstrap_performance() allows you to calculate confidence intervals for the mode...
This version uses mikropml v1.4.0. What's Changed Specify col_types for benchmarks CSV file by @kel...
mikropml now has a logo created by @NLesniak! Made documentation improvements (#238, #231 @kelly-so...
Fixed bugs related to grouping correlated features (#276, @kelly-sovacool). Also, group_correlated_f...
New correlation method option for feature importance (#267, @courtneyarmour). The default is still "...
Added support for different monitor dimensions, related to https://github.com/andreped/super-ml-pets...
What's Changed Add some fixes for running simulations in parallel as well as a workflow for testing ...
What's Changed build(deps): bump setuptools from 65.5.0 to 65.5.1 by @dependabot in https://github....
MLJ v0.16.8 Diff since v0.16.7 (code re-organization) Suspend use of MLJOpenML.jl in favour of Open...
Fixes for API changes in ggplot2 v3.4.0 and tidyselect v1.2.0 (#42, #44, @kelly-sovacool). pool_taxo...
<p><strong>mlpack</strong> is an intuitive, fast, and flexible C++ machine learning library with bin...
Fix roxygen package doc syntax (https://github.com/r-lib/roxygen2/issues/1491, @kelly-sovacool)
New parameter cross_val added to run_ml() allows users to define their own custom cross-validation s...
This minor patch fixes a test failure on platforms with no long doubles. The actual package code rem...
mikropml now requires R version 4.1.0 or greater due to an update in the randomForest package (#292)...
New functions: bootstrap_performance() allows you to calculate confidence intervals for the mode...
This version uses mikropml v1.4.0. What's Changed Specify col_types for benchmarks CSV file by @kel...
mikropml now has a logo created by @NLesniak! Made documentation improvements (#238, #231 @kelly-so...
Fixed bugs related to grouping correlated features (#276, @kelly-sovacool). Also, group_correlated_f...
New correlation method option for feature importance (#267, @courtneyarmour). The default is still "...
Added support for different monitor dimensions, related to https://github.com/andreped/super-ml-pets...
What's Changed Add some fixes for running simulations in parallel as well as a workflow for testing ...
What's Changed build(deps): bump setuptools from 65.5.0 to 65.5.1 by @dependabot in https://github....
MLJ v0.16.8 Diff since v0.16.7 (code re-organization) Suspend use of MLJOpenML.jl in favour of Open...
Fixes for API changes in ggplot2 v3.4.0 and tidyselect v1.2.0 (#42, #44, @kelly-sovacool). pool_taxo...
<p><strong>mlpack</strong> is an intuitive, fast, and flexible C++ machine learning library with bin...
Fix roxygen package doc syntax (https://github.com/r-lib/roxygen2/issues/1491, @kelly-sovacool)