Features: maximize information entropy and variable reporting interval. #170
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The new argument sets the reporting interval, i.e., the number of epochs between printing the cost function to the screen and writing it to the cost.plt file.
This commit adds the `--bins` command-line argument, which sets the number of phase-space hypercubes across the range of each of the 5 output variables. Only one data point per bin retained for use in training a neural network. This choice maximizes the information entropy for a given retained training data set size.
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This pull request adds
--reportand--binscommand-line arguments in the train-cloud-microphysics app:--reportsets the reporting interval, i.e., the number of epochs between printing the cost function to the screen and writing it to thecost.pltfile.--binssets the number of phase-space hypercubes across the range of each of the 5 output variables. Only one data point per bin retained for using in training a neural network. This choice maximizes the information entropy for a given retained training data set size.