robahall / bayesplayground Goto Github PK

README: Bayes Playground.

Goal: Interested in learning the inner workings of Bayesian Stats include:

• Generative Models
• Bayesian regressions
• Time Series

Packages Explored:

• pymc3
• pyro

Dir Structure:

├── LICENSE

├── README.md <- The top-level README for developers using this project.

├── data <- Hidden from git/github due to size requirements

│ ├── external <- Data from third party sources.

│ ├── interim <- Intermediate data that has been transformed.

│ ├── processed <- The final, canonical data sets for modeling.

│ └── raw <- The original, immutable data dump.

│

├── docs <- Data dictionaries, manuals, and all other explanatory materials.

│

├── exps <- Results of experiments and serialized models, model predictions, or model summaries

│

├── nbs <- Jupyter notebooks. Naming convention is a date (for ordering),

│ the creator's initials, and a short - delimited description, e.g.

│ 200318_initial_EDA.

│

├── setup.py <- Make this project pip installable with pip install -e

├── src <- Source code for use in this project.

│ ├── init.py <- Makes src a Python module

│ │

│ ├── data <- Scripts to download or generate data

│ │ └── make_dataset.py

│ │

│ ├── features <- Scripts to turn raw data into features for modeling

│ │ └── build_features.py

│ │

│ ├── models <- Scripts to train models and then use trained models to make

│ │ │ predictions

│ │ ├── predict_model.py

│ │ └── train_model.py

│ │

│ ├── visualization <- Scripts to create exploratory and results oriented visualizations

│ │ └── visualize.py

│ │

│ └── test <- Scripts test src files

│ └── test.py

│

└── environment.yml <- Conda env packages