copatrec 0.0.1

Correlation pattern recognizer (Copatrec), a package to find nonlinear patterns (regressions) using Machine Learning.

Correlation pattern recognizer (Copatrec) package.

For more information, please see the example and Document notebook.

How to use Copatrec

To use Copatrec, it should be either cloned from the GitHub, or

installed using the package files (pip and py providers will

be ready in future)

Recommend installation

It is recommended to install copatrec using pip.

Installing using pip

To install copatrec, please use the following code in your terminals.

Linux, conda, or python environment with access to pip

pip install copatrec

Cloning (copying) source code:

The source code has a hierarchic structure to be able to create package files.

Thus, the source code can be found in 'src' folder.

Also, examples can be found in 'example' folder.

Required packages to use Copatrec

If the package is imported from GitHub, then it would be suggested

to install following packages (dependencies) in your system using pip or any other

preferred approaches.

• matplotlib

• numpy

• pandas

• scipy

• sklearn

Examples

JSS.py

An example file with setups to reproducing paper results for the Journal of Statistical Software.

Tutorial files

There are two files in different formats (.py and .ipynb). For a detailed tutorial of Copatrec, the Jupyter

file (Document.ipynb) is recommended.