Im implementing logistic regression ,but somehow this code not seems to be working..please help me.

[ankit869]

This is the python code for logisticRegression using Preceptron Trick but not working.. im having doubt in finding coefficients..please check and correct the code.

class LogisticRegression:
    def __init__(self,learning_rate=0.01,epochs=1000):
        self.epochs=epochs
        self.learning_rate=learning_rate
        self.coef_=0
        self.intercept_=0
    
    def fit(self,x,y):
        x=x.copy()
        y=y.copy()
        import numpy as np
        x.insert(loc=0,column='ones',value=np.ones(x.shape[0]))
        w = np.ones(x.shape[1])
        for i in range(self.epochs):
            j=np.random.randint(0,x.shape[0])
            y_hat = self.step(np.dot(x.iloc[j,:], w))
            w=w+(y.iloc[j,]-y_hat)*x.iloc[j,:]
        
        self.coef_=-w[1:x.shape[1]]/w[x.shape[1]-1]
        self.intercept_ = -w[0]/w[x.shape[1]-1]
        return w[0],w[1:]
    def step(self,v):
        return 1 if v>0 else 0

    def predict(self, X_test):
        import numpy as np
        y_pred = np.dot(X_test,self.coef_) + self.intercept_
        return y_pred

[aaronscottb]

Hi!

Welcome to Google Cloud Community!

To properly replicate your use case, can you show any error message you are having? And what is your expected output/behavior?

[ankit869]

Look at this r2_score is coming worst negetive.