分类器：轴 1 超出维度 1 数组的范围

Question

I'm using ScikitlearnRandomForestClassifier as below.

from art.estimators.classification.scikitlearn import ScikitlearnRandomForestClassifier as SRFC
from sklearn.ensemble import RandomForestClassifier as RFC

model_rand_forest = SRFC(RFC(n_estimators=500,
                             max_depth=45,
                             criterion='entropy',
                             random_state=32))
model_rand_forest = model_rand_forest.fit(x_train, y_train)

I ran into the following error. If needed, y_train is a series of the size (70540,) and x_train is of the size (70540, 128) .

error:
 File "<ipython-input-18-c410427d7973>", line 1, in <module>
    model_rand_forest = model_rand_forest.fit(x_train , y_train)

  File "E:\Anaconda3\lib\site-packages\art\estimators\classification\classifier.py", line 71, in replacement_function
    return fdict[func_name](self, *args, **kwargs)

  File "E:\Anaconda3\lib\site-packages\art\estimators\classification\scikitlearn.py", line 138, in fit
    y_preprocessed = np.argmax(y_preprocessed, axis=1)

  File "<__array_function__ internals>", line 6, in argmax

  File "E:\Anaconda3\lib\site-packages\numpy\core\fromnumeric.py", line 1186, in argmax
    return _wrapfunc(a, 'argmax', axis=axis, out=out)

  File "E:\Anaconda3\lib\site-packages\numpy\core\fromnumeric.py", line 61, in _wrapfunc
    return bound(*args, **kwds)

AxisError: axis 1 is out of bounds for array of dimension 1

Answer 1

you will have to provide the labels y one-hot encoded with shape (nb_samples, nb_classes) to the ART estimators for scikit-learn models. you can use this link to put your labels in one-hot format. https://machinelearningmastery.com/how-to-one-hot-encode-sequence-data-in-python/