Compute log loss for logistic regression from scratch

0 votes

compute log-loss

def logloss(y_true,y_pred):
    '''In this function, we will compute log loss '''
    log_loss = (-((y_true * np.log10(y_pred)) + (1-y_true) * np.log10(1-y_pred)).mean())
    return log_loss

Computing logistic regression

def train(X_train,y_train,X_test,y_test,epochs,alpha,eta0):
 w,b = initialize_weights(X_train[0])
    train_loss = []
    test_loss = []
    for e in range(epochs):
        for x,y in zip(X_train,y_train):
            dw = gradient_dw(x,w,y,b,alpha,N)
            db = gradient_db(x,y,w,b)
            w = w + (eta0 * dw)
            b = b + (eta0 * db)
        train_pred = []
        for i in X_train:
            y_pred = sigmoid(np.dot(w.T, i) + b)
            train_pred.append(y_pred)
        train_loss.append(logloss(y_train, train_pred))
        
        test_pred = []
        for j in X_test:
            y_pred_test = sigmoid(np.dot(w.T, j) + b)
            test_pred.append(y_pred_test)
        test_loss.append(logloss(y_test, test_pred))
    return w,b
alpha=0.0001
eta0=0.0001
epochs=50
N = len(X_train)
w,b = train(X_train,y_train,X_test,y_test,epochs,alpha,eta0)

Error that I am getting

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-112-9a34879eb072> in <module>
      3 epochs=50
      4 N = len(X_train)
----> 5 w,b = train(X_train,y_train,X_test,y_test,epochs,alpha,eta0)

<ipython-input-110-db0e3d88382d> in train(X_train, y_train, X_test, y_test, epochs, alpha, eta0)
     30             y_pred = sigmoid(np.dot(w.T, i) + b)
     31             train_pred.append(y_pred)
---> 32         train_loss.append(logloss(y_train, train_pred))
     33 
     34         test_pred = []

<ipython-input-108-f272288a384c> in logloss(y_true, y_pred)
      1 def logloss(y_true,y_pred):
      2     '''In this function, we will compute log loss '''
----> 3     log_loss = (-((y_true * np.log10(y_pred)) + (1-y_true) * np.log10(1-y_pred)).mean())
      4     return log_loss

TypeError: unsupported operand type(s) for -: 'int' and 'list'

I have mentioned the full code just the codes for which I am getting error.I am confused whether to make changes to logloss or make changes to logistic regression code i.e def train(). How to rectify this error?

Apr 7, 2022 in Machine Learning by Nandini
• 5,480 points
1,197 views

1 answer to this question.

0 votes

You have made  train_pred as python list. When logloss function is used, you calculate(1- train_pred), which means integer minus python list.
This is the reason you get an error.

TypeError: unsupported operand type(s) for -: 'int' and 'list'

Hope this helps.

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answered Apr 11, 2022 by Dev
• 6,000 points

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