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Showing posts with the label Cross Validation
Why Should I Build Separated Graph For Training And Validation In Tensorflow?

Why Should I Build Separated Graph For Training And Validation In Tensorflow?

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I've been using tensorflow for a while now. At first I had stuff like this: def myModel(trainin… Read more Why Should I Build Separated Graph For Training And Validation In Tensorflow?
Sklearn Kfold Acces Single Fold Instead Of For Loop

Sklearn Kfold Acces Single Fold Instead Of For Loop

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After using cross_validation.KFold(n, n_folds=folds) I would like to access the indexes for trainin… Read more Sklearn Kfold Acces Single Fold Instead Of For Loop
Xgboost : The Least Populated Class In Y Has Only 1 Members, Which Is Too Few

Xgboost : The Least Populated Class In Y Has Only 1 Members, Which Is Too Few

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Im using Xgboost implementation on sklearn for a kaggle's competition. However, im getting this… Read more Xgboost : The Least Populated Class In Y Has Only 1 Members, Which Is Too Few
Gridsearchcv.best_score_ Meaning When Scoring Set To 'accuracy' And Cv

Gridsearchcv.best_score_ Meaning When Scoring Set To 'accuracy' And Cv

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I'm trying to find the best model Neural Network model applied for the classification of breast… Read more Gridsearchcv.best_score_ Meaning When Scoring Set To 'accuracy' And Cv
Keras/scikit-learn: Using Fit_generator() With Cross Validation

Keras/scikit-learn: Using Fit_generator() With Cross Validation

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Is it possible to use Keras's scikit-learn API together with fit_generator() method? Or use ano… Read more Keras/scikit-learn: Using Fit_generator() With Cross Validation
Predict_proba For A Cross-validated Model

Predict_proba For A Cross-validated Model

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I would like to predict the probability from Logistic Regression model with cross-validation. I kno… Read more Predict_proba For A Cross-validated Model