'OneClassSVM' object is not callable

The error message "'OneClassSVM' object is not callable" typically occurs when you try to call an object of the OneClassSVM class as if it were a function.

In Python, calling an object means using parentheses () after it, like a function call. However, the OneClassSVM class is not meant to be called in this way. Instead, you should use its methods and attributes to interact with it.

Here's an example of how to properly use the OneClassSVM class:

from sklearn.svm import OneClassSVM

# Create an instance of OneClassSVM
svm = OneClassSVM()

# Fit the SVM model to your data
svm.fit(X_train)

# Make predictions using the trained model
predictions = svm.predict(X_test)

Make sure you replace `X_train` and `X_test` with your actual training and test data, respectively. Remember that before fitting the model, you need to preprocess your data appropriately.

If you're still encountering issues or have further questions, please provide more details about your code and the specific problem you're facing.