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README: Document SPLIT_VALIDATE, SPLIT_TEST

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@ -158,6 +158,8 @@ LEARNING_RATE=0.001 | The learning rate to use. Default: 0.001.
UPSAMPLE=2 | How much to upsample by at the beginning of the model. A value of disables upscaling. Default: 2. UPSAMPLE=2 | How much to upsample by at the beginning of the model. A value of disables upscaling. Default: 2.
STEPS_PER_EXECUTION=1 | How many steps to perform before surfacing from the GPU to e.g. do callbacks. Default: 1. STEPS_PER_EXECUTION=1 | How many steps to perform before surfacing from the GPU to e.g. do callbacks. Default: 1.
RANDSEED | The random seed to use when shuffling filepaths. Default: unset, which means use a random value. RANDSEED | The random seed to use when shuffling filepaths. Default: unset, which means use a random value.
SPLIT_VALIDATE | Percentage of the available files in the dataset to be allocated to the validation split. Default: 0.2
SPLIT_TEST | Percentage of the available files in the dataset to be allocated to the test split. Default: 0.2
JIT_COMPILE | Set to any value to compile the model with XLA. Defaults to unset; set to any value to enable. JIT_COMPILE | Set to any value to compile the model with XLA. Defaults to unset; set to any value to enable.
PREDICT_COUNT=25 | The number of items from the (SCRAMBLED) dataset to make a prediction for. PREDICT_COUNT=25 | The number of items from the (SCRAMBLED) dataset to make a prediction for.
PREDICT_AS_ONE | [prediction only] Set to any value to avoid splitting the input dataset into training/validation and instead treat it as a single dataset. Default: False (treat it as training/validation) PREDICT_AS_ONE | [prediction only] Set to any value to avoid splitting the input dataset into training/validation and instead treat it as a single dataset. Default: False (treat it as training/validation)