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uclamii
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model_tuner
A library to tune the hyperparameters of common ML models. Supports calibration and custom pipelines.
Apache License 2.0
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xgboost earlystopping multiuclass bug
#110
panas89
opened
3 days ago
0
Catboost early stopping
#109
panas89
opened
3 days ago
0
Examples for documentation
#108
panas89
opened
3 days ago
0
xgb for multiclass requires classes to be integers enumerated from 0
#107
panas89
opened
3 days ago
0
return_model_metrics() does not support multiclass
#106
panas89
opened
3 days ago
0
Early stopping Column Transformer fix
#105
elemets
closed
1 week ago
0
Fixing a bug found when calibrating early stopping models
#104
elemets
closed
1 week ago
0
Calibration Early Stopping
#103
elemets
closed
10 hours ago
0
xgb and cat boost early stopping with column transformer bug
#102
panas89
closed
9 hours ago
1
reference of feat_select_names was wrong
#101
elemets
closed
1 week ago
0
Renamed K Best Features to Best Features
#100
lshpaner
closed
1 week ago
0
Feature selection pipeline extraction
#99
elemets
closed
1 week ago
0
Feature selection not printing features selected unless feature_selection=True input is specified
#98
lshpaner
closed
1 week ago
1
removed extra input from xgb_early_test.py
#97
lshpaner
closed
1 week ago
0
SMOTE fix for early stopping
#96
elemets
closed
1 week ago
0
Requirements for version 3.11
#95
elemets
closed
1 week ago
0
Requirements for 3.11 Fix
#94
elemets
closed
1 week ago
0
Handle Missing pipeline_steps When Using imbalance_sampler
#93
lshpaner
closed
1 week ago
1
If pipeline_steps are not specified, imbalance_learn does not work
#92
lshpaner
closed
1 week ago
0
Removing a print in the pipeline steps
#91
elemets
closed
2 weeks ago
1
Enforce Required model_type Parameter in Model Class
#90
lshpaner
closed
2 weeks ago
0
F1_tune example
#89
elemets
opened
2 weeks ago
0
Added Custom Exception for Non-Pandas Inputs in return_bootstrap_metrics
#88
lshpaner
closed
2 weeks ago
0
added flexibility between bool and None for strat param
#87
lshpaner
closed
2 weeks ago
0
Add Custom Exception for Non-Pandas Inputs in return_bootstrap_metrics
#86
lshpaner
closed
2 weeks ago
1
Improve Stratification Parameter Handling in train_val_test_split Function
#85
lshpaner
closed
2 weeks ago
1
Fixing requirements, threshold and fit / calibrate bug
#84
elemets
closed
2 weeks ago
0
Bug in Fit method When Score is Set
#83
lshpaner
closed
2 weeks ago
1
XGBoost requirements update
#82
elemets
closed
2 weeks ago
0
Fixing verbosity, report_model_metrics and default values for tts
#81
elemets
closed
2 weeks ago
1
Default values for all methods
#80
elemets
closed
2 weeks ago
1
report_model_metrics
#79
panas89
closed
2 weeks ago
1
tune_threshold_Fbeta
#78
panas89
closed
2 weeks ago
1
Naming convention mismatch
#77
elemets
closed
2 weeks ago
1
Column Transformer causing bugs
#76
elemets
closed
2 weeks ago
0
Column transformer fix
#75
elemets
closed
2 weeks ago
0
Warning: Parameters { "device", "verbose" } might not be used
#74
lshpaner
closed
2 weeks ago
1
Lack of Early Stopping for K-Fold Validation in Boosting Algorithms
#73
lshpaner
opened
1 month ago
0
Add new eval_metrics.py script for model performance metrics
#72
lshpaner
closed
1 month ago
0
updating the way rfe is called so it uses elasticnet
#71
elemets
closed
1 month ago
0
removed deprecated AK code v1
#70
panas89
closed
1 month ago
1
pipeline pretty print
#69
elemets
closed
1 month ago
0
Pull Request: Migrate to `pyproject.toml` and Update Build Workflow
#68
lshpaner
closed
1 month ago
1
Remove autokeras code
#67
elemets
closed
1 month ago
0
Unit test merging
#66
elemets
closed
1 month ago
0
Bayesian update train val test fix
#65
elemets
closed
1 month ago
0
Bayesian and KFold Fix
#64
elemets
closed
1 month ago
0
Bug in KFold
#63
elemets
closed
1 month ago
0
Bayesian update
#62
elemets
closed
1 month ago
0
Merging Set up and Bayesian CV + feature_names removal + xgboost_early renamed
#61
elemets
closed
1 month ago
1
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