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erdogant
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hgboost
hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating the results on an independent validation set. hgboost can be applied for classification and regression tasks.
http://erdogant.github.io/hgboost
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'n_estimators' value range not respected
#20
CarterwoodAnalytics
closed
1 month ago
1
The following issues occur when installing hgboost using anaconda
#19
54dyourc
opened
9 months ago
0
hgboost installation error
#18
chandrabhuma
closed
10 months ago
3
hgb.plot_params() graphs are not complete
#17
ChalktyGeo
opened
10 months ago
0
TypeError: LGBMRegressor.fit() got an unexpected keyword argument 'early_stopping_rounds'
#16
juanramonua
opened
11 months ago
1
numpy.AxisError: axis 1 is out of bounds for array of dimension 1
#15
quancore
opened
1 year ago
0
ValueError: Target is multiclass but average='binary'. Please choose another average setting, one of [None, 'micro', 'macro', 'weighted'].
#14
quancore
opened
1 year ago
0
hgb.plot command returns seaborn regplot error
#13
ninjit
closed
1 year ago
2
Treeplot failure - missing graphviz dependency
#12
ninjit
closed
1 year ago
2
Hgboost on GPU
#11
ChandanVerma
closed
2 years ago
1
Getting the native model for compatibility with shap.TreeExplainer
#10
nicolasaldecoa
closed
2 years ago
2
HP Tuning: best_model uses different parameters from those that were reported as best ones
#9
Mikki99
closed
2 years ago
1
issue with shuffling results and loading model
#8
chennavc
closed
2 years ago
3
Xgboost parameter
#7
LAH19999
closed
2 years ago
2
Running regression example error
#6
recherHE
closed
3 years ago
1
Specific data results problem
#5
recherHE
closed
3 years ago
2
import error during import hgboost
#4
recherHE
closed
3 years ago
3
Error in rmse calculaiton
#3
SSLPP
closed
3 years ago
1
Test:Validation:Train split
#2
SSLPP
closed
3 years ago
3
Fix some typos
#1
bneijt
closed
3 years ago
1