/tesseract

Data Science, Data mining, Deep Learning, Machine Learning, NLP, Clustering Experiments

Primary LanguagePythonGNU General Public License v3.0GPL-3.0

tesseract

Data Science, Data mining, Deep Learning, Machine Learning, NLP, Clustering Experiments started by Ravish Gupta.

To start:

Copy defaault_settings.py to settings.py. Add all required parameters to it.

Input data folder is located insite data folder and so is output folder.

Location data/input, data/output.

NOTE Highly important!!!:

1. If you are a colaborator DO NOT download a zip copy of this project.

2. Never edit directly into file using github interface pencil sign.

Always clone.

To Start Working:

  1. Fork this repo. https://help.github.com/articles/fork-a-repo/
    git clone git@github.com:<ur_username>/tesseract.git
  1. Update you local fork from base repo https://help.github.com/articles/syncing-a-fork/
    git remote add upstream git@github.com:ravyg/tesseract.git
    git pull upstream 1.x-dev
  1. Create a new branch with your task name.
    git status -s

This will list files you have made changes on.

    git commit -m "Commit message and Issue number" /file/you/made/changes/on
  1. Commit and push code to your fork. 1.x-dev is branch you wish to push on. If you have created a branch from an issue you can push on that branch.
    git push orgin 1.x-dev

  1. Create a pull request to main repo. https://help.github.com/articles/about-pull-requests/

  2. Trust me someone will merge it for you.

  3. Get yourself a Drink! cheerS!

NOTE:

  • 1.x-dev repository is used for development. (Fork this initially)
  • 1.x is the running staging build by stable merge from 1.x-dev branch.
  • master is the final release branch.

About Project:

TBD

Requirements:

Python 2.7 Tensorflow Numpy Sklearn

TBD

Installation:

TBD

Post Installation Configurations

TBD