Tightened integration with the workflowsets package (#161, #165). Refined logic with adding candidates via workflowsets to allow for partially trained workflow sets. In the case that a workflow set contains some failed tuning results, stacks will inform the user that they will be excluded from the data stack and only add the results that trained successfully. Extended documentation related to the packages' interactions, including a new article on the package website. Revamped errors, warnings, and messages. Prompts now provide more thorough context about where they arose, include more extensive references to documentation, and are correctly pluralized (#150, #167). blend_predictions() doesn't error anymore if the control argument isn't ...
update maintainer's and authors' email addresses fix bug in .parseModule (#215) improve dependency g...
The documentation practice for machine-learned (ML) models often falls short of established practice...
Note, while this is a normal 0.x release, it also acts as the v1.0 release candidate. That means, if...
stacks 1.0.0 is the first production release of the package. While this release includes only a few ...
Added an augment() method for model_stack objects (#173). Converted all character variables in the ...
adds a logger for exceptions #38 (@tkkuehn) fixes bug in filter_lists which was ordering randomly b...
This minor release includes some new features, improved documentation, and bug fixes. Minor improvem...
Fixed errors on CRAN from changes in dplyr New features and documentation: Initial support for ...
The ONE DATA data science workflow dataset ODDS-full comprises 815 unique workflows in temporally or...
v.0.2.8 While changing some lines with tidyr::spread and tidyr::gather for data.table::dcast.data....
API breakage: Simulation without tree sequence recording is no longer supported. #607 Bug fixes: T...
Workflow correctness properties are usually defined based on one workflow perspective only, e.g. the...
ManuallyIdentifyObjects now outputs tracks in addition to individual objects. With this it's possib...
New Features Adds support for sklearn Pipelines that add new features (such as those including OneH...
Known issues: https://github.com/PredictiveEcology/SpaDES/issues version 1.1.3 add gtools to Imp...
update maintainer's and authors' email addresses fix bug in .parseModule (#215) improve dependency g...
The documentation practice for machine-learned (ML) models often falls short of established practice...
Note, while this is a normal 0.x release, it also acts as the v1.0 release candidate. That means, if...
stacks 1.0.0 is the first production release of the package. While this release includes only a few ...
Added an augment() method for model_stack objects (#173). Converted all character variables in the ...
adds a logger for exceptions #38 (@tkkuehn) fixes bug in filter_lists which was ordering randomly b...
This minor release includes some new features, improved documentation, and bug fixes. Minor improvem...
Fixed errors on CRAN from changes in dplyr New features and documentation: Initial support for ...
The ONE DATA data science workflow dataset ODDS-full comprises 815 unique workflows in temporally or...
v.0.2.8 While changing some lines with tidyr::spread and tidyr::gather for data.table::dcast.data....
API breakage: Simulation without tree sequence recording is no longer supported. #607 Bug fixes: T...
Workflow correctness properties are usually defined based on one workflow perspective only, e.g. the...
ManuallyIdentifyObjects now outputs tracks in addition to individual objects. With this it's possib...
New Features Adds support for sklearn Pipelines that add new features (such as those including OneH...
Known issues: https://github.com/PredictiveEcology/SpaDES/issues version 1.1.3 add gtools to Imp...
update maintainer's and authors' email addresses fix bug in .parseModule (#215) improve dependency g...
The documentation practice for machine-learned (ML) models often falls short of established practice...
Note, while this is a normal 0.x release, it also acts as the v1.0 release candidate. That means, if...