requirements.txt

# -- --------------------------------------------------------------------------------------------------- -- #
# -- Genetic Programming for Feature Engineering with Financial Time Series Data                         -- #
# -- --------------------------------------------------------------------------------------------------- -- #
# -- Description: These notes are part of the series: Evolutionary Computation Methods for FML           -- #
# -- File: requirements.txt : text file with the required libraries for the project                      -- #
# -- Author: IFFranciscoME - if.francisco.me@gmail.com                                                   -- #
# -- license: GPL-3.0 License                                                                            -- #
# -- Repository: https://github.com/IFFranciscoME/STSC-Temporal-Patterns                                 -- #
# -- --------------------------------------------------------------------------------------------------- -- #

# Run the following in bash console:
# $ pip instal -r requirements.txt

# -- Generic
pandas>=1.1.2
numpy>=1.20

# -- Data sources
ccxt>=1.42

# -- Data Visualization
jupyter>=1.0.0
plotly>=4.10.0
pydot>=1.4.1
graphviz>=0.14.1
matplotlib>=3.3.4
seaborn>=0.11.1

# -- Stats tools
statsmodels>=0.12.0
scikit-learn>=0.23.2

# -- Evolutionary methods
gplearn>=0.4.1
sympy>=1.1.1

# -- Machine Learning Models
tensorflow==2.4.1
keras>=2.4.3