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Python is a high-level object-oriented programming language used to develop websites and various applications. It’s easy to learn and is emerging as one of the best introductory programming languages for first-timers.
When trying to automate something in Python, you get the following error: “AttributeError: ‘SMOTE’ object has no attribute ‘fit_sample'”. Don’t be too concerned. This article will assist you in resolving these issues with this well-known program.
When Will The Error “AttributeError: ‘SMOTE’ object has no attribute ‘fit_sample’” Happen?
Oversampling the minority class is one method for dealing with imbalanced datasets. The most basic method involves duplicating examples from the minority class. The SMOTE, is a type of data augmentation for the minority class.
You are getting the error AttributeError: ‘SMOTE’ object has no attribute ‘fit sample’. And here is your code.
from imblearn.over_sampling import SMOTE smt = SMOTE(random_state=0) X_train, y_train = smt.fit_sample(X_train, y_train)
In another case, you are attempting to execute the following code:
os = SMOTE(random_state=0) X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=0) columns = X_train.columns os_data_X,os_data_y=os.fit_sample(X_train, y_train)
However, you will receive the error message described above – AttributeError: The ‘SMOTE’ object lacks the ‘fit sample’ attribute. ANd you are using version 0.8.0 of imbalanced-learn and version 0.24.1 of scikit-learn.
The Best Method
The error “AttributeError”: ‘SMOTE object does not have an attribute ‘fit_sample’ occurs because of an error in the function you’re using. If you import SMOTE by using the code below, then you must utilize fitting_resample() instead of the fit_sample function.
from imblearn.over_sampling import SMOTE
After that, run fit_resample() command:
oversample = SMOTE() X, y = oversample.fit_resample(X, y)
Python is a simple and powerful tool. It’s also easy to learn and a high-level object-oriented programming language. It has less syntactic structure than other languages.
Python has powerful high-level data structures and a simple yet effective approach to object-oriented programming. Python’s command syntax is a huge plus. Its clarity, ease of understanding, and flexible typing make it rapidly an ideal language for scripting and application development in various fields in most areas and all platforms.
The straightforward approach described above is a straightforward solution to the aforementioned major error: “AttributeError: ‘SMOTE’ object has no attribute ‘fit_sample'”.
Please leave them in the comments section if you have any further questions. We hope you have a productive day with the Python tool.