Factual package intelligence from PyPI
A python module to implement Hidden Markov hidden_markov for financial times series.
pip install hmm-py
PyPI declares 8 unique dependency rules for this release. Environment markers are shown when supplied by the project.
hmm-py publishes 14 wheels and 1 source archive for version 0.0.2. Wheel platform tags: macosx_10_9_x86_64, manylinux1_i686, manylinux1_x86_64, manylinux2010_i686, manylinux2010_x86_64, win32, win_amd64.
No version-specific Python classifiers are declared.
PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .