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For supervised learning learning of HMMs and similar\nmodels see seqlearn_.\n\n.. _seqlearn: https://github.com/larsmans/seqlearn\n\n**Note**: This package is under limited-maintenance mode.\n\nImportant links\n===============\n\n* Official source code repo: https://github.com/hmmlearn/hmmlearn\n* HTML documentation (stable release): https://hmmlearn.readthedocs.org/en/stable\n* HTML documentation (development version): https://hmmlearn.readthedocs.org/en/latest\n\nDependencies\n============\n\nThe required dependencies to use hmmlearn are\n\n* Python \u003e= 3.6\n* NumPy \u003e= 1.10\n* scikit-learn \u003e= 0.16\n\nYou also need Matplotlib \u003e= 1.1.1 to run the examples and pytest \u003e= 2.6.0 to run\nthe tests.\n\nInstallation\n============\n\nRequires a C compiler and Python headers.\n\nTo install from PyPI::\n\n    pip install --upgrade --user hmmlearn\n\nTo install from the repo::\n\n    pip install --user git+https://github.com/hmmlearn/hmmlearn\n","funding_links":[],"categories":["Libraries","Python","📦 Packages","Linear Algebra / Statistics Toolkit","概率统计","Uncategorized","Machine Learning Frameworks","Package"],"sub_categories":["Python","Statistical Toolkit","Uncategorized","Computational Neuroscience"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhmmlearn%2Fhmmlearn","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhmmlearn%2Fhmmlearn","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhmmlearn%2Fhmmlearn/lists"}