I have been using the scikit-learn library. I’m trying to use the Gaussian Naive Bayes Module under the scikit-learn library but I’m running into the following error. TypeError: cannot perform reduce with flexible type
Below is the code snippet.
training = GaussianNB() training = training.fit(trainData, target) prediction = training.predict(testData)
This is target
['ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'AML', 'AML', 'AML', 'AML', 'AML', 'AML', 'AML', 'AML', 'AML', 'AML', 'AML']
This is trainData
[['-214' '-153' '-58' ..., '36' '191' '-37'] ['-139' '-73' '-1' ..., '11' '76' '-14'] ['-76' '-49' '-307' ..., '41' '228' '-41'] ..., ['-32' '-49' '49' ..., '-26' '133' '-32'] ['-124' '-79' '-37' ..., '39' '298' '-3'] ['-135' '-186' '-70' ..., '-12' '790' '-10']]
Below is the stack trace
Traceback (most recent call last): File "prediction.py", line 90, in <module> gaussianNaiveBayes() File "prediction.py", line 76, in gaussianNaiveBayes training = training.fit(trainData, target) File "/Library/Python/2.7/site-packages/sklearn/naive_bayes.py", line 163, in fit self.theta_[i, :] = np.mean(Xi, axis=0) File "/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/numpy/ core/fromnumeric.py", line 2716, in mean out=out, keepdims=keepdims) File "/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/numpy/core/_methods.py", line 62, in _mean ret = um.add.reduce(arr, axis=axis, dtype=dtype, out=out, keepdims=keepdims) TypeError: cannot perform reduce with flexible type