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hubverse-org
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hubEnsembles
Ensemble methods for combining hub model outputs.
https://hubverse-org.github.io/hubEnsembles/
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Ls/standardize compound unit for samples/144
#147
lshandross
opened
3 hours ago
1
Ls/linear pool supports sample output type simple case/109
#146
lshandross
closed
2 weeks ago
2
update CONTRIBUTING.md
#145
zkamvar
closed
3 weeks ago
1
In linear_pool_sample, standardize the compound unit or "joint across variables"
#144
elray1
opened
3 weeks ago
0
Extend sample handling cases in linear_pool
#143
lshandross
opened
3 weeks ago
0
ls/linear pool supports sample output type/27
#142
lshandross
closed
3 weeks ago
1
Replace `hubExamples::forecast_target_observations` with `hubExamples::forecast_oracle_output`
#141
elray1
opened
4 weeks ago
0
Post release 0.1.9
#140
lshandross
closed
4 weeks ago
1
Fix warnings in examples
#139
lshandross
opened
1 month ago
0
Post release 0.1.9
#138
lshandross
closed
1 month ago
1
ls/release/0.1.9
#137
lshandross
closed
1 month ago
1
Release hubEnsembles 0.1.9
#136
lshandross
closed
1 month ago
0
Fix `simple_ensemble()` bug caused by `all.equal()`
#135
lshandross
closed
2 months ago
2
Use of `all.equal()` in `simple_ensemble()` sometimes throws an error
#134
lshandross
closed
2 months ago
6
post-release-0.1.8
#133
lshandross
closed
2 months ago
1
Release hubEnsembles 0.1.8
#132
lshandross
closed
2 months ago
0
ls/release/0.1.8
#131
lshandross
closed
2 months ago
1
Update Workflows
#130
zkamvar
closed
2 months ago
1
think about how to make linear pool example more transparent
#129
elray1
opened
2 months ago
0
bug in `linear_pool()`: models are not split before pooling
#128
zkamvar
closed
2 months ago
0
ls/release/0.1.6
#127
lshandross
closed
2 months ago
1
Prepare for cran pt. 2
#126
lshandross
closed
2 months ago
2
change hubdocs URL to hubverse.io
#125
zkamvar
closed
3 months ago
1
Prepare for cran
#124
lshandross
closed
4 months ago
1
122 simple ensemble quantile crossing due to weightedmedian calculation issue
#123
lshandross
closed
4 months ago
1
`simple_ensemble` quantile crossing due to `weightedMedian` calculation issue
#122
lshandross
closed
4 months ago
1
Code review from Hugo
#121
Bisaloo
closed
4 months ago
3
Consistent argument name for a model output tbl
#120
LucieContamin
closed
2 months ago
0
35 check that weights dont depend on output type id in settings where that would not lead to a valid ensemble
#119
lshandross
closed
5 months ago
1
Minor code improvements
#118
lshandross
closed
5 months ago
2
Replace superseded functions
#117
lshandross
closed
5 months ago
0
Standardize on hubExamples for example data (#104)
#116
lshandross
closed
5 months ago
1
update organization name to 'hubverse-org'
#115
lshandross
closed
5 months ago
1
[ORG NAME CHANGE]: Update repo to hubverse-org organisation name
#114
annakrystalli
closed
5 months ago
0
Update vignette
#113
lshandross
closed
5 months ago
2
create an ensemble method to compute Vincent/quantile average ensemble based on more output types
#112
elray1
opened
5 months ago
0
Refactor to use `get_task_ids_tbl` function for task id validation
#111
elray1
opened
5 months ago
1
equal weighted ensembles of sample output types in `linear_pool`
#109
elray1
closed
2 weeks ago
0
Consider returning `median` output type from `linear_pool()`
#108
eahowerton
opened
7 months ago
2
Clean up docs
#107
lshandross
closed
7 months ago
2
Fix lint issues update
#106
elray1
closed
7 months ago
1
Fix lint issues
#105
lshandross
closed
7 months ago
2
standardize on hubExamples for example data
#104
elray1
closed
5 months ago
0
fix linting issues
#103
elray1
closed
7 months ago
0
Remove hmisc dependency
#102
lshandross
closed
7 months ago
4
Add support for the sample model_output_type in hubEnsembles::linear_pool()
#101
nickreich
opened
7 months ago
3
clean up documentation for `linear_pool` and `linear_pool_quantile`
#100
elray1
closed
7 months ago
0
add Nick as package contributor
#99
nickreich
closed
8 months ago
0
Split hubutils - use v0.0.1
#98
annakrystalli
closed
8 months ago
2
Fix `R CMD CHECK` notes
#97
annakrystalli
closed
5 months ago
3
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