Factual package intelligence from PyPI
The TSMD project brings together Motif Discovery methods for Time Series, aiming to compare their performance through well-defined research questions and to simplify their practical use. It provides both guidelines for selecting the most suitable methods based on the data, and ac
pip install tsmd
PyPI declares 7 unique dependency rules for this release. Environment markers are shown when supplied by the project.
tsmd publishes 1 wheel and 1 source archive for version 0.1.4. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .