Training with GenoML evaluates several different algorithms and outputs the best algorithm based on a specific metric that can be tweaked using the
--metric_max flag (default is AUC).
Required arguments for GenoML are the following:
data: Is the data
method: Do you want to use
unsupervisedmachine learning? (unsupervised currently under development)
mode: would you like to
--prefix: Where would you like your outputs to be saved?
The most basic command to train your model looks like the following; it looks for the
*.dataForML file that was generated in the munging step:
If you would like to determine the best competing algorithm by something other than the AUC, you can do so by changing the
--metric_max flag (Options include
--metric_max flag is only available for discrete datasets.