https://github.com/gatapia/py_ml_utils

Some small utility modules to help with pandas, numpy and sklearn usage in other projects
https://github.com/gatapia/py_ml_utils

machine-learning python

Last synced: about 1 year ago
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Some small utility modules to help with pandas, numpy and sklearn usage in other projects

• Host: GitHub
• URL: https://github.com/gatapia/py_ml_utils
• Owner: gatapia
• Created: 2014-05-11T01:21:12.000Z (about 12 years ago)
• Default Branch: master
• Last Pushed: 2023-03-21T14:06:26.000Z (over 3 years ago)
• Last Synced: 2024-11-15T07:34:19.877Z (over 1 year ago)
• Topics: machine-learning, python
• Language: Python
• Size: 5.78 MB
• Stars: 180
• Watchers: 12
• Forks: 139
• Open Issues: 13
• Metadata Files:
  • Readme: readme.md

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README

          
Collection of machine learning utilities for PicNet and Predict Bench

=====================================================================

PicNet and Predict Bench provide predictive analytics services and 

products like Centazio.  These products and services are supported

by this library that combines best in breed libraries, implementations,

algorithms and utilities that help us provice machine learning services

at speed.

See http://www.picnet.com.au for more details

Instructions:

- Python 2:

  - Check out a submodule to this lib name it ml

  - Create a _utils.py file with project wide utilties

  - In _utils.py add "from ml import *"

- Python 3:

  - Expectes a folder structure as follows:

    - src

      - utils.py (with `from ml import *`)

      - script01.py (with `import src.utils`)

    - ml [git submodule to this lib]

  - To run a script use `python -m src.script01`

  - Or in ipython `import src.utils` to get going

- Jupyter Notebook

  - ml will need to live in the src directory

  - "from ml import *"

This will inject all the required libraries into your environment 

including:

- pandas (as pd)

- numpy (as np)

- scipy

- sklearn

- all utiltiy functions in misc.py

- all pandas extensions defined in pandas_extensions

License: MIT

Author: Guido Tapia - guido.tapia@picnet.com.au