Readme.md

what is the code

• based on this project
  • https://github.com/chasembowers/poker-learn

environment setup

• windows-7 os
• (1) install Anaconda (64bit)
• (2) create conda environment "envtfpy2" with python 2.7

conda create --name envtfpy2 python=2.7

• (3) activate environment "envtfpy2"

activate envtfpy2

now we come to python 2.7 environment. To deactivate this environment, use: deactivate envtfpy2

• (4) install scipy

conda install scipy

• (5) install scikit-learn

conda install scikit-learn

• (6) install matplotlib

conda install matplotlib

how to run the code

• (1) clone the project

git clone https://github.com/chasembowers/poker-learn.git

• (2) run the demo code (bankroll_demo.py) at python2.7 environment

(envtfpy2) C:\tmp\poker-learn>python bankroll_demo.py
Beginning simulation of 1000 hands.
Players are training...
Complete.
Simulation complete.

Beginning simulation of 10000 hands.
Players are training...
Complete.
Players are training...
Complete.

how to run learn_pklearn_deeper.ipynb

• git clone https://github.com/chasembowers/poker-learn.git
• change directory to poker-learn
• move learn_pklearn_deeper.ipynb to poker-learn
• run by jupyter