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 setup.py egg_info" failed with error code 1 in C:\Users\eponr\AppData\Local\Temp\pycharm-packaging\hmms\
Collecting hmms Using cached https://files.pythonhosted.org/packages/e9/e4/c070c44ec8a391f6d5501316d1ed7615058f1fd365ff4ed65c9636d0bf62/hmms-0.1.tar.gz Complete output from command python setup.py egg_info: Traceback (most recent call last): File "<string>", line 1, in <module> File "C:\Users\eponr\AppData\Local\Temp\pycharm-packaging\hmms\setup.py", 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\Dependencies.py", line 955, in cythonize c_options = CompilationOptions(**options) File "C:\Users\eponr\PycharmProjects\untitled1\venv\lib\site-packages\Cython\Compiler\Main.py", 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 ?