Ecosyste.ms: Issues
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GitHub / fabsig/KTBoost issues and pull requests
#14 - Is this library still maintained?
Issue -
State: closed - Opened by ogencoglu 6 months ago
- 1 comment
#13 - Multiprocessing with KTBoost
Issue -
State: open - Opened by astrogilda almost 3 years ago
#12 - KTBoost.BoostingRegressor TypeError: __cinit__() takes exactly 6 positional arguments (7 given)
Issue -
State: closed - Opened by fiwe1601 about 3 years ago
- 1 comment
#11 - Tobit with yl and yu varied by observations
Issue -
State: open - Opened by kota7 over 3 years ago
- 1 comment
#10 - Adding tweedie loss
Pull Request -
State: closed - Opened by davidlkl about 4 years ago
- 7 comments
#9 - Compatibility with scikit-learn 0.24.0
Issue -
State: closed - Opened by davidlkl about 4 years ago
- 4 comments
#8 - built KTBoost conda package
Pull Request -
State: closed - Opened by BaseconDev over 4 years ago
#7 - Is it possible to add a monotone constraint?
Issue -
State: open - Opened by flippercy almost 5 years ago
- 1 comment
#6 - sample_weight is being multiplied twice - Tobit Loss
Issue -
State: closed - Opened by sanketrdeshmukh about 5 years ago
- 3 comments
#5 - Fix long_description read in setup.py
Pull Request -
State: closed - Opened by sroecker over 5 years ago
#4 - Implement non-constant learning rates
Issue -
State: closed - Opened by lorenzwalthert almost 6 years ago
- 1 comment
#3 - TypeError: __init__() got an unexpected keyword argument 'min_weight_leaf'
Issue -
State: closed - Opened by fganss almost 6 years ago
- 2 comments
#2 - mae criterion is very slow compared to mse or friedman_mse for classification
Issue -
State: closed - Opened by flamby almost 6 years ago
- 1 comment
#1 - Method - update_terminal_regions in LossFunction Class- If Condition
Issue -
State: closed - Opened by avinashbarnwal almost 6 years ago
- 4 comments