StackOverflow Questions for Tag: gridsearchcv

Me at Work

Reputation: 1

AttributeError: 'super' object has no attribute 'sklearn_tags' when using GridSearchCV with KerasClassifier

pythontensorflowkerashyperparametersgridsearchcv

Score: 0

Answers: 0

user29348541

Reputation: 3

GridSeachCV custom profit function results with an error: missing 1 required positional argument: 'y'

pythonclassificationrandom-forestgridsearchcvmake-scorer

Score: 0

Answers: 1

Karthik S

Reputation: 11596

Have only 2 classes but why am I getting ValueError: Target is multiclass but average = 'binary'. Please choose another average setting

pythonpandassvmgridsearchcv

Score: 2

Answers: 1

Ishigami

Reputation: 541

GridSearchCV with data indexed by time

pythongridsearchcv

Score: 1

Answers: 1

Đỗ Nhật Nam

Reputation: 11

ERROR: raise ValueError(f"Shape of passed values is {passed}, indices imply {implied}") when using GridSearchCV

data-sciencepipelineone-hot-encodinggridsearchcv

Score: 1

Answers: 0

D.S. Parihar

Reputation: 1

AttributeError: 'Sequential' object has no attribute 'compiled' while using gridsearch.fit

pythonconv-neural-networktf.kerasgridsearchcv

Score: 0

Answers: 1

Mohammed Hadi

Reputation: 65

Implementing GridSearchCV and Pipelines to perform Hyperparameters Tuning for KNN Algorithm

pythonmachine-learningscikit-learngridsearchcvrapids

Score: 0

Answers: 1

LewisOs

Reputation: 23

k-NN GridSearchCV taking extremely long time to execute

pythonscikit-learncross-validationknngridsearchcv

Score: 2

Answers: 1

tb08

Reputation: 57

Precision calculation warning when using GridSearchCV for Logistic Regression

pythonscikit-learnprecisionlogistic-regressiongridsearchcv

Score: 0

Answers: 1

Victor

Reputation: 19

Found input variables with inconsistent number of samples when I processed "titanic" dataset in kaggle

scikit-learngridsearchcv

Score: 1

Answers: 1

Swann_

Reputation: 23

SVR/SVM output predictions are very similar to each other but far from true value

pythonscikit-learnlinear-regressionsvmgridsearchcv

Score: 0

Answers: 1

Moonzarin Esha

Reputation: 269

Implementing custom loss function in scikit learn

pythonmachine-learningscikit-learndata-sciencegridsearchcv

Score: 14

Answers: 4

vishv

Reputation: 21

GridSearchCV error: ValueError: Sequential model 'sequential' has no defined outputs yet

pythontensorflowkerasneural-networkgridsearchcv

Score: 2

Answers: 2

Arash

Reputation: 139

splitting a hyper parameter grid to n-equal size subgrids

hyperparametersgrid-searchgridsearchcv

Score: 0

Answers: 0

Tom

Reputation: 33

Use StratifiedGroupKFold with GridSearchCV in an XGBoost Model

xgboostcross-validationgridsearchcvimbalanced-data

Score: 0

Answers: 0

oriKAN

Reputation: 9

Understanding K-Fold Cross-Validation, Model Training, and R² Scores

machine-learningcross-validationgrid-searchgridsearchcvk-fold

Score: -1

Answers: 1

krish

Reputation: 59

Is it required to do CV , if I use grid search cv?

pythonmachine-learningcross-validationgridsearchcv

Score: -2

Answers: 2

Tegel

Reputation: 1

Fixing Overfitting for a Random Forest/Gradient Boosting Regression through GridSearch

pythonrandom-forestgridsearchcvboostingoverfitting-underfitting

Score: -3

Answers: 1

André Lourenço

Reputation: 375

target scaling using GridSearchCV

pythonpython-3.xscikit-learnsvmgridsearchcv

Score: 3

Answers: 2

Cole

Reputation: 115

How do I fix: "FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan?"

pythonscikit-learnpipelinefeature-selectiongridsearchcv

Score: 2

Answers: 4

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StackOverflow Questions for Tag: gridsearchcv

AttributeError: &#39;super&#39; object has no attribute &#39;sklearn_tags&#39; when using GridSearchCV with KerasClassifier

GridSeachCV custom profit function results with an error: missing 1 required positional argument: &#39;y&#39;

Have only 2 classes but why am I getting ValueError: Target is multiclass but average = &#39;binary&#39;. Please choose another average setting

GridSearchCV with data indexed by time

ERROR: raise ValueError(f&quot;Shape of passed values is {passed}, indices imply {implied}&quot;) when using GridSearchCV

AttributeError: &#39;Sequential&#39; object has no attribute &#39;compiled&#39; while using gridsearch.fit

Implementing GridSearchCV and Pipelines to perform Hyperparameters Tuning for KNN Algorithm

k-NN GridSearchCV taking extremely long time to execute

Precision calculation warning when using GridSearchCV for Logistic Regression

Found input variables with inconsistent number of samples when I processed &quot;titanic&quot; dataset in kaggle

SVR/SVM output predictions are very similar to each other but far from true value

Implementing custom loss function in scikit learn

GridSearchCV error: ValueError: Sequential model &#39;sequential&#39; has no defined outputs yet

splitting a hyper parameter grid to n-equal size subgrids

Use StratifiedGroupKFold with GridSearchCV in an XGBoost Model

Understanding K-Fold Cross-Validation, Model Training, and R&#178; Scores

Is it required to do CV , if I use grid search cv?

Fixing Overfitting for a Random Forest/Gradient Boosting Regression through GridSearch

target scaling using GridSearchCV

How do I fix: &quot;FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan?&quot;

AttributeError: 'super' object has no attribute 'sklearn_tags' when using GridSearchCV with KerasClassifier

GridSeachCV custom profit function results with an error: missing 1 required positional argument: 'y'

Have only 2 classes but why am I getting ValueError: Target is multiclass but average = 'binary'. Please choose another average setting

ERROR: raise ValueError(f"Shape of passed values is {passed}, indices imply {implied}") when using GridSearchCV

AttributeError: 'Sequential' object has no attribute 'compiled' while using gridsearch.fit

Found input variables with inconsistent number of samples when I processed "titanic" dataset in kaggle

GridSearchCV error: ValueError: Sequential model 'sequential' has no defined outputs yet

Understanding K-Fold Cross-Validation, Model Training, and R² Scores

How do I fix: "FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan?"