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HungaBunga
HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!
MIT License
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Multi-label classification
#20
cristianhdez
opened
3 years ago
0
Pass explicitly specified scoring
#19
RomanZavodskikh
opened
4 years ago
0
parameter ranges?
#18
amueller
opened
4 years ago
0
sklearn.exceptions.NotFittedError: This SGDClassifier instance is not fitted yet
#17
yonatanbitton
opened
4 years ago
1
Add module for gradient boosting for regression and classification, resolves #1
#16
NavaneeshGangala
opened
4 years ago
0
Update regression for compatibility, solves #10
#15
NavaneeshGangala
opened
4 years ago
0
Patch 1
#14
rodolphol
closed
4 years ago
0
Update regression.py
#13
rodolphol
closed
4 years ago
0
Fix imports and little cleanup
#12
iggisv9t
opened
4 years ago
0
Hanging up on ExtraTreesRegressor
#11
Hemang999
opened
4 years ago
0
No module named 'regression'
#10
dealdata
opened
5 years ago
12
Module not found error
#9
henaraihan
closed
5 years ago
0
Fixed imports & cleanup (removed .pyc files)
#8
danpol
closed
5 years ago
0
Error in initial import
#7
orenpapers
opened
5 years ago
8
get all inf?
#6
danFromTelAviv
opened
5 years ago
5
Hanging up on NuSVC
#5
ProfessionalismIsMyMiddleName
opened
5 years ago
2
maybe also add scaling and normalizing...
#4
joernhees
opened
5 years ago
0
Documentation issue
#3
IanQS
closed
5 years ago
0
How to setup?
#2
Alvinhech
closed
5 years ago
1
Please add gradient boosting
#1
AndreyGurevich
opened
5 years ago
3