neurospin pylearn-parsimony issues

neurospin / pylearn-parsimony

Structured Machine Learning in Python

BSD 3-Clause "New" or "Revised" License

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issues

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FIX replace deprecated np.bool by builtin bool

#45 mathurinm closed 1 year ago
2
Tests fail locally

#44 mathurinm opened 1 year ago
0
make array shape `(min(X.shape),)` and not `(min(X.shape), 1)`

#43 mathurinm closed 1 year ago
0
Nowadays math.sqrt() is fast than ** 0.5

#42 DimitriPapadopoulos opened 1 year ago
0
Python 2.7?

#41 DimitriPapadopoulos opened 1 year ago
0
Fix typos found by codespell

#40 DimitriPapadopoulos closed 1 year ago
0
np.float → float

#39 DimitriPapadopoulos closed 1 year ago
0
Pylearn-parsimony is not compatible with numpy version >=1.20

#38 jchiquet opened 1 year ago
5
set_params should return self for consistency with sklearn

#37 jameschapman19 opened 1 year ago
0
Simulation parameter

#36 desanou closed 2 years ago
1
'v0' must have shape {shape}

#35 desanou closed 1 year ago
8
L1 penalization parameter

#34 desanou opened 3 years ago
0
RuntimeWarning: Could not locate the config file.

#33 hengee opened 5 years ago
2
Incompatibility with scikit-learn model selection module

#32 nguigs opened 6 years ago
0
Improve warning

#31 DimitriPapadopoulos closed 6 years ago
1
Use math.sqrt(x) instead of x ** 0.5

#30 DimitriPapadopoulos opened 6 years ago
0
Use continuous integration to run tests on each commit

#29 DimitriPapadopoulos opened 6 years ago
2
Add missing '&' in mask calculation

#28 DimitriPapadopoulos closed 6 years ago
1
PEP 8

#27 DimitriPapadopoulos closed 6 years ago
2
Net rgcca

#26 nguigs closed 3 years ago
4
L1 regularization norm

#25 marcosmrai opened 6 years ago
0
changed import in L1 penalty

#24 nguigs closed 6 years ago
1
Vectorized solver

#23 duchesnay opened 6 years ago
0
3D meshes

#22 Ayagoz opened 6 years ago
0
Vectorization of solvers

#21 duchesnay closed 6 years ago
0
operands could not be broadcast together with shapes

#20 kroscek closed 7 years ago
2
Vectorizing computation to simultaneously solve several minimization problems

#19 duchesnay opened 7 years ago
2
Cache expensive computation that are computed twice

#18 duchesnay opened 7 years ago
2
How can I use different penalty for different group

#17 yzhaobk opened 7 years ago
1
tutorials.rst updated

#16 samuelefiorini closed 7 years ago
1
Precomputed lambda max

#15 duchesnay opened 7 years ago
8
Question about LinearRegressionL1L2TV

#14 fighting41love closed 8 years ago
2
Installation on windows?

#13 jlistgarten opened 8 years ago
3
Compatibility with sklearn

#12 duboism opened 8 years ago
1
LogisticRegressionL1L2GL - Always same classification output.

#11 sOuLsK opened 9 years ago
1
l1tv (inexactFista): Avoid multiple definition/calculation of lambda_max

#10 duchesnay closed 9 years ago
0
helper to generate linear operator refactoring

#9 duchesnay closed 9 years ago
5
InexactFista is very slow

#8 duchesnay closed 9 years ago
0
Error in the tutorial/example page

#7 philouc closed 9 years ago
2
INFO_PROVIDED for the static Conesta algorithm

#6 FH235918 closed 9 years ago
1
ENH Using FISTA when no TV in LogisticRegressionL1L2TV

#5 FH235918 closed 9 years ago
1
Duality gap the l2 penalty multiplier is null.

#4 FH235918 closed 9 years ago
1
FISTA use gap if function inherit from DualFunction (implement the gap)

#3 duchesnay closed 9 years ago
1
ENH: CONESTA

#2 duchesnay closed 10 years ago
0
Documentation (tutorials.rst)

#1 duchesnay opened 10 years ago
1