Best python library for training using Hidden Marov model with Gaussian Mixture


I would like to train my data using HMM- GMM (Baum Welch approach with gaussian Mixture) to find the best parameters suited for my data.

Note : My data is continuous and not discrete.

I tried with hmmlearn from scikit learn, but i believe it is not supporting continuous HMM-GMM model, but i tried with discrete data, it woks fine.

I tried to use pomegranate, but i cannot able to understand the document, also i am not sure whether it uses GMM to fit my data.

I try to install hmms libraray, but i receive an error while installing,

Command "python egg_info" failed with error code 1 in C:\Users\eponr\AppData\Local\Temp\pycharm-packaging\hmms\

Collecting hmms
  Using cached
    Complete output from command python egg_info:
    Traceback (most recent call last):
      File "<string>", line 1, in <module>
      File "C:\Users\eponr\AppData\Local\Temp\pycharm-packaging\hmms\", line 22, in <module>
        ext_modules=cythonize(glob.glob('hmms/*.pyx'), language_level=3, include_dirs=[numpy.get_include()]),
      File "C:\Users\eponr\PycharmProjects\untitled1\venv\lib\site-packages\Cython\Build\", line 955, in cythonize
        c_options = CompilationOptions(**options)
      File "C:\Users\eponr\PycharmProjects\untitled1\venv\lib\site-packages\Cython\Compiler\", line 563, in __init__
        raise ValueError(message)
    ValueError: got unknown compilation option, please remove: include_dirs

Kindly suggest some libraries in python, which describes my problem ?


Posted 2019-08-21T10:40:45.680

Reputation: 155

have you tried this.?

– IamTheRealFord – 2019-09-05T09:18:02.890


– IamTheRealFord – 2019-12-18T08:55:20.113

No answers