casper-hansen Nested-Cross-Validation issues

casper-hansen / Nested-Cross-Validation

Nested cross-validation for unbiased predictions. Can be used with Scikit-Learn, XGBoost, Keras and LightGBM, or any other estimator that implements the scikit-learn interface.

MIT License

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'list' object has no attribute 'set_params'

#15 bharath8847 opened 3 years ago
1
Is there a way to use bayesian hyperparameter optimization instead of GridSearch / Random Search?

#14 Marmeladenbrot opened 4 years ago
0
how does nested-cv compare to native nested CV in sklearn?

#13 ezeeetm opened 4 years ago
0
Is it possible to use separated testing set in the end, on the most successfull model?

#12 ghost closed 3 years ago
7
Add random_state and allow using StratifiedKFold

#11 iajst17 closed 4 years ago
3
Add return of best model

#10 casper-hansen opened 5 years ago
0
Add support for y being multiclass in combination with predict_proba=True

#9 casper-hansen opened 5 years ago
0
Add support for multithreading

#8 casper-hansen closed 5 years ago
1
Add support for other ways of splitting data (Only KFold is supported)

#7 casper-hansen closed 4 years ago
1
Add support for more metrics

#6 casper-hansen closed 5 years ago
3
Add verbosity levels

#5 casper-hansen closed 5 years ago
1
Add support for arrays

#4 casper-hansen closed 5 years ago
1
Add notebook with examples

#3 casper-hansen opened 5 years ago
3
Add return values to documentation

#2 casper-hansen closed 5 years ago
1
Configure the package settings

#1 ahmagdy closed 5 years ago
0