InfoDenguePredict¶
This is the documentation of InfoDenguePredict.
This Project aims to collect models for time series prediction tested and optimized for the InfoDengue system series. InfoDengue is a system that produces continuous epidemic analytics including Nowcasting and Forecasting. This package is still in alpha, but it aims to provide a stable API for the generation of forecasts based on the available models as well as tools for model comparison and selection. If you want to contribute to this package, please take a look at the Contributing section.
Note
This is the main page of your project’s Sphinx
documentation. It is formatted in reStructuredText. Add additional pages by creating
rst-files in docs
and adding them to the toctree below. Use then
references in order to link
them from this page, e.g. authors and Changelog.
It is also possible to refer to the documentation of other Python packages
with the Python domain syntax. By default you
can reference the documentation of Sphinx,
Python, matplotlib, NumPy, Scikit-Learn, Pandas, SciPy. You can add more by
extending the intersphinx_mapping
in your Sphinx’s conf.py
.