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Code for thesis "Incorporating spatial autocorrelation in machine learning"

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Ca_housing
Ca_housing
 
 
Meuse
Meuse
 
 
README.md
README.md
 
 
esf_funcs.R
esf_funcs.R
 
 
houses1990.csv
houses1990.csv
 
 
lag_funcs.R
lag_funcs.R
 
 

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Incorporating spatial autocorrelation in machine learning

Code for thesis

  • Utility functions are defined in 'lag_funs.R' and 'esf_funs.R'.
  • house1990.csv: California housing dataset
  • Ca_housing: scripts for California housing dataset. Jupyter notebooks are included.
  • Meuse: scripts for Meuse dataset. Jupyter notebooks are included.

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Code for thesis "Incorporating spatial autocorrelation in machine learning"

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  • Jupyter Notebook 99.2%
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