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Machine learning prediction of NMR parameters using SKlearn from data frames generated by mol_translator

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ml_kitchen_sink

Requirements: SKlearn SK-opt pandas numpy

Module for the hyperparameter optimization of sklearn algorithms in predicting NMR shifts

Requires pandas dataframes as inputs with the columns containing 'atomic_rep' and 'shift'

use in tandem with mol_translator (https://github.com/Buttsgroup/mol_translator/tree/master/mol_translator) to generate the required dataframes from nmr log files.

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Machine learning prediction of NMR parameters using SKlearn from data frames generated by mol_translator

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