pyinterpolate's Introduction

PyInterpolation

The Python package for spatial interpolation. The interpolation includes the Radius Base Function (RBF) and Kriging (Gaussian process) .

Installation

# on linux (bash)
git clone https://github.com/juifa-tsai/pyInterpolate
cd pyInterpolate
echo 'export PYTHONPATH="'`pwd`'":$PYTHONPATH' >> ~/.bash_profile # set enviroment to your shell profile
echo 'export PYTHONPATH="'`pwd`'/kriging":$PYTHONPATH' >> ~/.bash_profile # set enviroment to your shell profile
echo 'export PYTHONPATH="'`pwd`'/rbf":$PYTHONPATH' >> ~/.bash_profile # set enviroment to your shell profile

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pyinterpolate's Issues

Re-design for sklearn

The format of module is not completely compatible to sklearn. The reason for adopting to sklearn is because of the parameter optimization. Sklearn provides well-defined tool for tuning parameter and validation. Thus, making the module to adopt sklearn is kind of way to simplify future work.

Change get_params() to output the default parameter sets with {'name':value} instead.
Add relevant function to output results.
Add set_params() to any model for implementation grid search in the future, instead of update each parameter.
Add score() to every models.

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