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I would like to adapt the LogitRegression function included below to include additional independent… Read more Is There A Way To Suitably Adjust This Sklearn Logistic Regression Function To Account For Multiple Independent Variables And Fixed Effects?

I am building the model, having 12 parameters and {0,1} labels using logistic regression in sklearn… Read more Predict Certain Label With Highest Possible Probability In Logistic Regression

I have my data in a sparse matrix. I work now first on a subset with ~500k rows before starting the… Read more Partial_fit With Sgdclassifier Gives Fluctuating Accuracy

I'm implementing a multinomial logistic regression model in Python using scikit-learn. The thin… Read more Scikit-learn - Multinomial Logistic Regression With Probabilities As A Target Variable

def train(X_train,y_train,X_test,y_test,epochs,alpha,eta0): w,b = initialize_weights(X_train[0]… Read more Using Sgd Without Using Sklearn (logloss Increasing With Every Epoch)

I'm doing this Univ. Of Washington assignment where i have to predict the score of sample_test_… Read more Unable To Evaluate Score Using Decision_function() In Logistic Regression