hello i am new to sklearn in python and iam trying to learn it and use this module to predict some numbers based on two features here is the error i am getting: ValueError: only 2 non-keyword arguments accepted and here is my code:
If you’re using scikit-learn you can use sklearn.preprocessing.normalize:
Make sure that pip and python are the same version. For example if you run pip for python 2.7, it will install the package only in 2.7, and if your python command point to for example python 3.3 interpreter, it will not have that package
I want to import sklearn but there is no module apparently: I am using Anaconda and Python 3.6.1; I have checked everywhere but still can’t find answers. When I use the command: conda install scikit-learn should this not just work?Where does anaconda install the package? I was checking the frameworks in my python library and there was nothing … Read more
you can use plt.matshow() instead of plt.imshow() or you can use seaborn module’s heatmap (see documentation) to plot the confusion matrix
I had a similar problem using the Pystruct pystruct.learners.OneSlackSSVM. It occured because my training labels were floats, in stead of integers. In my case, it was because I initialized the labels with np.ones, without specifying dtype=np.int8. Hope it helps.
I want to import sklearn but there is no module apparently: I am using Anaconda and Python 3.6.1; I have checked everywhere but still can’t find answers. When I use the command: conda install scikit-learn should this not just work?Where does anaconda install the package? I was checking the frameworks in my python library and there was nothing … Read more
If you’re using scikit-learn you can use sklearn.preprocessing.normalize:
This might happen inside scikit, and it depends on what you’re doing. I recommend reading the documentation for the functions you’re using. You might be using one which depends e.g. on your matrix being positive definite and not fulfilling that criteria. EDIT: How could I miss that: is obviously wrong. Right would be: and You … Read more
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. This is target This is trainData Below is the stack trace