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mljs
/
ml-pipe
https://mljs.github.io/ml-pipe/
MIT License
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feat!: refactor trainTestSplit interface
#49
kjappelbaum
closed
1 year ago
0
feat!: refactor pipeline interface
#48
kjappelbaum
closed
1 year ago
1
fix readme
#47
kjappelbaum
closed
1 year ago
0
fix: DummyClassifier
#46
kjappelbaum
closed
1 year ago
0
chore: add test cases for transformers
#45
kjappelbaum
closed
1 year ago
1
make tests deterministic
#44
kjappelbaum
opened
1 year ago
1
raise if transformer not fitted
#43
kjappelbaum
closed
1 year ago
0
make it work for multioutput models
#42
kjappelbaum
opened
2 years ago
0
[wip]: Implement `DummyClassifier`
#41
kjappelbaum
closed
1 year ago
1
feat: implement `DummyRegressor`
#40
kjappelbaum
closed
2 years ago
0
implement multiclass classification metrics
#39
kjappelbaum
opened
2 years ago
0
reimplement stratified-split algorithm
#38
kjappelbaum
opened
2 years ago
0
implement `DummyRegressor`
#37
kjappelbaum
closed
2 years ago
0
implement `DummyClassifier`
#36
kjappelbaum
closed
1 year ago
0
chore(main): release 0.3.0
#35
mljs-bot
opened
2 years ago
1
allow using PCA as pre-processing step
#34
kjappelbaum
opened
2 years ago
0
chore(main): release 0.2.0
#33
mljs-bot
closed
2 years ago
2
potential bug for inverse transforms
#32
kjappelbaum
closed
1 year ago
1
`inverseTransform` untested
#31
kjappelbaum
closed
2 years ago
1
add xgboost
#30
kjappelbaum
opened
2 years ago
0
add unscaling test for pipeline
#29
kjappelbaum
closed
2 years ago
0
investigate bad numerics of FCNN
#28
kjappelbaum
closed
2 years ago
1
bug in unscaling for `target` scalers?
#27
kjappelbaum
closed
2 years ago
2
chore(main): release 0.2.0
#26
mljs-bot
closed
2 years ago
1
feat: implement doFAIC metric
#25
kjappelbaum
closed
2 years ago
1
implement `DoFAIC` for model selection
#24
kjappelbaum
closed
2 years ago
0
chore: add exports
#23
kjappelbaum
closed
2 years ago
1
feat: implement basic regression metrics
#22
kjappelbaum
closed
2 years ago
1
implement regression metrics
#21
kjappelbaum
closed
2 years ago
0
feat: implemented random Gaussian matrix
#20
kjappelbaum
closed
2 years ago
1
implement measure of model complexity
#19
kjappelbaum
closed
2 years ago
1
chore(main): release 0.1.0
#18
mljs-bot
closed
2 years ago
2
Take care about Number.MIN_VALUE
#17
lpatiny
closed
2 years ago
0
Use ml-xsadd for seed random number and check that everything is seeded
#16
lpatiny
opened
2 years ago
3
expose methods
#15
kjappelbaum
closed
2 years ago
0
trainTestSplit should output object
#14
kjappelbaum
closed
1 year ago
0
pipeline steps should be objects
#13
kjappelbaum
closed
1 year ago
0
fix readme
#12
kjappelbaum
closed
1 year ago
0
fcnn options optional
#11
kjappelbaum
closed
2 years ago
1
Ensure matrix in the package
#10
lpatiny
opened
2 years ago
1
chore(main): release 0.0.1
#9
mljs-bot
closed
2 years ago
2
chore(main): release 1.0.0
#8
mljs-bot
closed
2 years ago
1
add docs
#7
kjappelbaum
closed
2 years ago
0
simplify nn options
#6
kjappelbaum
closed
2 years ago
1
by default apply `inverseTransform` for the `y` transformations?
#5
kjappelbaum
closed
2 years ago
0
implement svm regression
#4
kjappelbaum
closed
2 years ago
1
implement knn regression
#3
kjappelbaum
opened
2 years ago
1
implement polynomial transform
#2
kjappelbaum
opened
2 years ago
1
implement stratified train/test split
#1
kjappelbaum
closed
2 years ago
2