Using Facebook Prophet

31.01.2023 — python, prophet — 1 min read

Prophet is an open source time series forecasting library developed by Facebook's Core Data Science team. It provides a simple and efficient way to make predictions for various forecasting problems, including forecasting trends and seasonal patterns in time series data. It uses a Bayesian method based on a decomposable time series model, and is designed to be used in business and finance applications, among others.

Resources

https://www.geeksforgeeks.org/share-price-forecasting-using-facebook-prophet/

Installation

Set a virtual environment and then install prophet

python3 -m venv .venv
source .venv/bin/activate

python3 -m pip install prophet
python3 -m pip install matplotlib numpy pandas plotly scikit-learn

Using `prophet` to forecast share prices

First, install all the usual packages

python3 -m pip install numpy pandas matplotlib

As of this writing, prophet has a dependencies issue on M1, M2 Mac. The currently working combination is the below

brew install python@3.11
python3.11 -m pip install cmdstanpy
python3.11 -m pip install prophet # this should work ? if it dont, good luck lmao
# RuntimeError: Error during optimization! Command '/opt/homebrew/lib/python3.11/site-packages/prophet/stan_model/prophet_model.bin
# dyld[71677]: Library not loaded: '@rpath/libtbb.dylib'
install_name_tool -add_rpath .venv/lib/python3.11/site-packages/prophet/stan_model/cmdstan-2.26.1/stan/lib/stan_math/lib/tbb .venv/lib/python3.11/site-packages/prophet/stan_model/prophet_model.bin

Using Facebook Prophet

Resources

Installation

Using prophet to forecast share prices

Using `prophet` to forecast share prices