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rikhuijzer
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SIRUS.jl
Interpretable Machine Learning via Rule Extraction
https://sirus.jl.huijzer.xyz/
MIT License
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Easily access condition and consequence (then/otherwise) of a Rule
#44
Zapiano
closed
10 months ago
4
Models do not handle missing classes on subsampling
#43
ablaom
opened
1 year ago
1
Models do not perform well for full range of outcomes
#42
rikhuijzer
opened
1 year ago
1
Update README.md
#41
rikhuijzer
closed
1 year ago
0
`StableRulesRegressor` and `StableForestRegressor` models should `<:Deterministic`
#40
OkonSamuel
closed
1 year ago
3
Add `Operations` and `Fitted parameters` sections
#39
rikhuijzer
closed
1 year ago
0
remove deprecated `docstring` keyword
#38
OkonSamuel
closed
1 year ago
0
Write MLJ-compliant docstrings
#37
rikhuijzer
closed
1 year ago
0
Add JOSS paper
#36
rikhuijzer
closed
11 months ago
0
Add Breast Cancer Wisconsin dataset
#35
rikhuijzer
closed
1 year ago
0
Remove `LightGBM`
#34
rikhuijzer
closed
1 year ago
0
Add linear models to the benchmarks
#33
rikhuijzer
closed
1 year ago
0
Write MLJ-compliant docstrings
#32
ablaom
closed
1 year ago
0
Add linear models to the benchmarks
#31
rikhuijzer
closed
10 months ago
0
Add tests for the MLJ interface
#30
rikhuijzer
closed
1 year ago
1
Add test for the MLJ model interface
#29
ablaom
closed
1 year ago
0
Printed rules are not sorted by weights (gap_size)
#28
rikhuijzer
opened
1 year ago
0
Regression likely contains a bug
#27
rikhuijzer
opened
1 year ago
5
Implement and test multiclass-classification
#26
rikhuijzer
closed
1 year ago
0
Classes might become inconsistent between folds
#25
rikhuijzer
opened
1 year ago
0
Multiclass-classification target cannot be `String`s
#24
rikhuijzer
opened
1 year ago
0
Also sort by rule frequency
#23
rikhuijzer
closed
1 year ago
0
Make rule removal depend on gap in output
#22
rikhuijzer
closed
1 year ago
8
Optimize the rule removal step by filtering flipped versions
#21
rikhuijzer
closed
1 year ago
1
Add a test for a bug in the rule extraction
#20
rikhuijzer
closed
1 year ago
5
Document the rules extraction and refactor
#19
rikhuijzer
closed
1 year ago
1
Replace `Probabilities` by `LeafContent` and define `StableRulesRegressor`
#18
rikhuijzer
closed
1 year ago
0
Implement `StableForestRegressor`
#17
rikhuijzer
closed
1 year ago
0
Implement regression
#16
rikhuijzer
closed
1 year ago
1
Multiclass-classification is not implemented yet
#15
rikhuijzer
closed
1 year ago
0
Move `cutpoints` in separate module
#14
rikhuijzer
closed
1 year ago
0
Regression is not implemented yet
#13
rikhuijzer
closed
1 year ago
0
Update test dependencies
#12
rikhuijzer
closed
1 year ago
0
Disable coverage
#11
rikhuijzer
closed
1 year ago
0
Remove rules for which both sides are approximately zero
#10
rikhuijzer
opened
1 year ago
1
CompatHelper: bump compat for MLJLinearModels to 0.9, (keep existing compat)
#9
github-actions[bot]
closed
1 year ago
0
TagBot trigger issue
#2
JuliaTagBot
closed
1 year ago
28
Regularize weights via regression
#1
rikhuijzer
closed
1 year ago
0
Switch output printing to `PrettyTables.jl`
#8
rikhuijzer
opened
2 years ago
0
Remove rules for which outcomes don't differ
#3
rikhuijzer
opened
2 years ago
0
Make #features per tree a hyperparameter
#5
rikhuijzer
opened
2 years ago
0
Ensure that weights sum to one
#6
rikhuijzer
closed
1 year ago
1
Use L2 (Ridge) for determining weights
#7
rikhuijzer
closed
1 year ago
1
Does a non-greedy approach improve accuracy?
#4
rikhuijzer
opened
2 years ago
0
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