gkapatai / maatpy Goto Github PK

 X_new, y_new = self.smote._make_samples(X_class, min_class, X_class,
  File "../venv/lib/python3.8/site-packages/imblearn/over_sampling/_smote/base.py", line 96, in _make_samples
    samples_indices = random_state.randint(low=0, high=nn_num.size, size=n_samples)
AttributeError: 'int' object has no attribute 'size'

>> print(f"Imblearn version: {imblearn.__version__}")
Imblearn version: 0.8.0

!git clone https://github.com/gkapatai/MaatPy.git
cd MaatPy/

X, y = make_classification(n_samples=1000, n_classes=3, n_informative=6, weights=[.1, .15, .75])
xtrain, xtest, ytrain, ytest = train_test_split(X, y, test_size=.2, random_state=123)

from maatpy.classifiers import SMOTEBoost

model = SMOTEBoost()
model.fit(xtrain, train)

/usr/local/lib/python3.7/dist-packages/imblearn/over_sampling/_smote.py in _make_samples(self, X, y_dtype, y_type, nn_data, nn_num, n_samples, step_size)
    106         random_state = check_random_state(self.random_state)
    107         samples_indices = random_state.randint(
--> 108             low=0, high=len(nn_num.flatten()), size=n_samples)
    109         steps = step_size * random_state.uniform(size=n_samples)
    110         rows = np.floor_divide(samples_indices, nn_num.shape[1])

AttributeError: 'int' object has no attribute 'flatten'