[FIXED] How to fix the TypeError: predict_proba() missing 1 required positional argument: 'X'

Issue

For this question, I do not know why it says predict_proba() missing 1 required positional argument: 'X'

Can anyone please help me with this?

Here is my code:

df1 = pd.read_csv('new_customer_info.csv')
df1 = df1.drop(columns = ['person_home_ownership', 'loan_intent', 'loan_grade'])
df1.dropna(inplace=True)
df1['cb_person_default_on_file'] = df1['cb_person_default_on_file'].map({'Y':1 ,'N':0})

X = df1.to_numpy()
from sklearn import linear_model
regression = linear_model.LinearRegression()
regression.fit(X_train,y_train)

y_pred = LogisticRegression.predict_proba(X)

Solution

You're using class directly, use object of class LogisticRegression which is defined in your code as regression = linear_model.LogisticRegression()

Solution:

y_pred = regression.predict_proba(X)

Note: you're also mixing Linear Regression and Logistic Regression. Remember predict_proba won't work on regression algos (LinearRegression)

Answered By - Sociopath