Hirokazu Takaya
Hirokazu Takaya
## Summary of request Use Optuna version 3.0.0. https://github.com/optuna/optuna/discussions/3930 We need to update pyproject.toml and use `.suggest_float()`. ## Why required / what will be improved Speed up importing. https://github.com/optuna/optuna/pull/3000 ##...
## Summary of this new feature New method `MLEngineer().pca()` will perform Principal Component Analysis (PCA). We can use `pca` library. https://github.com/erdogant/pca Current CovsirPhy version: 2.26.0-alpha
## What dataset you need? Confirmed/Fatal/Recovered data of Monkeypox 2022 on date for locations (ISO3, City etc.) ## How will you use the dataset for your analysis? With SIR-F model...
## Summary of this new feature At the current version, we perform scenario analysis, directly changing ODE parameter values of the future phases. However, it is difficult to estimate the...
## What we need to document? The GIF image of README.md shows the usage of `covsirphy`, but it was with a very old version. It is required to update it...
## Summary of this new feature A new method of `JHUData` etc. will show calendar heatmap of selected area and variable. https://link.medium.com/S8iFUr4QMob CovsirPhy version: 2.24.0
## Summary of this new feature ODE parameter prediction with multivariate deep learning to consider the impact of indicators. CovsirPhy version: 2.23.0
## Summary of this new feature To find useful indicators for ODE parameter prediction, `seaborn.clstermap()` will be helpful. This shows correlation coefficients and peeform clustering. Results will be shonone figure....
## What dataset you need? The following variables in "COVID-19 Data Hub". - hosp: Number of hospitalized patients on date - icu: Number of hospitalized patients in ICUs on date...
## What we need to document? Currently, we do not have original papers for CovsirPhy project and users cite documentation of CovsirPhy and the Kaggle Notebook. Because they are updated...