Feature: Add input/output tensor component ranges to network files #138
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BREAKING CHANGE: network files will now contain a tensor_range
JSON objects for inputs followed by a tensor_range JSON object for
outputs, each of which stores a string label ("inputs" for the
first and "outputs" for the second) followed by "minima" arrays
and "maxima" arrays.
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This PR facilitates storing the range of values encountered in the training data for purposes of
See the cloud-microphysics subdirectory for an example of mechanics and utility of training-data normalization to aid convergence.
BREAKING CHANGE: network files will now contain a tensor_range JSON objects for inputs followed by a tensor_range JSON object for outputs, each of which stores a string label ("inputs" for the first and "outputs" for the second) followed by "minima" arrays and "maxima" arrays.