Calling regression from Python

I would like to call logistic regression from Python. Seems like Python cannot handle the object returned by Matlab.

My code and error are below:

from __future__ import division
import matlab.engine
xVals = [[1,2,1],[1,3,1],[2,2,1]]
xVals = matlab.double(xVals)
yVals = matlab.double([1,0])
eng = matlab.engine.start_matlab()
[Mdl,FitInfo] = eng.fitclinear(eng.spconvert(xVals),eng.categorical(yVals), 'learner', 'logistic''PostFitBias',true, nargout=2)

Error message

[Mdl,FitInfo] = eng.fitclinear(eng.spconvert(xVals),eng.categorical(yVals), 'learner', 'logistic''PostFitBias',true, nargout=2)

File "/Library/Python/2.7/site-packages/matlab/engine/matlabengine.py", line 71, in __call__

_stderr, feval=True).result()

File "/Library/Python/2.7/site-packages/matlab/engine/futureresult.py", line 67, in result

return self.__future.result(timeout)

File "/Library/Python/2.7/site-packages/matlab/engine/fevalfuture.py", line 82, in result

self._result = pythonengine.getFEvalResult(self._future,self._nargout, None, out=self._out, err=self._err)

TypeError: unsupported data type returned from MATLAB

Answer 1

[Rajani Mishra]

When calling a MATLAB function using MATLAB engine, by default the engine returns a single output argument. To have multiple output arguements we use nargout to specify the number of output arguements, which is 2 in this case. So using

t = eng.fitclinear(eng.spconvert(xVals),eng.categorical(yVals), 'learner', 'logistic''PostFitBias',true, nargout=2)

where t will hold both output arguements. As specified in the example on this page (Second Example):

https://www.mathworks.com/help/matlab/matlab_external/call-matlab-functions-from-python.html