This package is the Python implementation of the CLINE method
Project description
PyCLINE - python package for CLINE
The pyCLINE package is the python package based on the CLINE (Computational Learning and Identification of NullclinEs).
It can be downloaded from PyPI with pip by using
pip install pyCLINE
The package allows to recreate all data, models and results shown in Prokop, Billen, Frolov and Gelens (2025), and to apply CLINE to other data sets.
In order to generate data used in Prokop, Billen, Frolov and Gelens (2025), a set of different models is being provided under pyCLINE.model.
Data from these models can be generated using pyCLINE.generate_data().
For setting up the data prepartion and adjacent training a neural network, the submodule pyCLINE.recovery_methods is used.
The submodule contains the module for data_preparation pyCLINE.recovery_methods.data_preparation and for neural network training pyCLINE.recovery_methods.nn_training.
For a better understanding, pyCLINE also contains the module pyCLINE.example which provides four examples also found in XXX with step by step instructions on how to setup a CLINE pipeline.
The structure of pyCLINE is shown here:
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