deepbinner train

usage: deepbinner train [-h] --train TRAIN --val VAL --model_out MODEL_OUT
                        [--model_in MODEL_IN] [--epochs EPOCHS] [--aug AUG]
                        [--batch_size BATCH_SIZE]
                        [--batches_per_epoch BATCHES_PER_EPOCH]

Train the neural network

optional arguments:
  -h, --help               show this help message and exit

Required:
  --train TRAIN            Balanced training data produced by the balance command
  --val VAL                Validation data used to assess the training
  --model_out MODEL_OUT    Filename for the trained model

Other:
  --model_in MODEL_IN      An existing model to use as a starting point for
                           training
  --epochs EPOCHS          Number of training epochs (default: 100)
  --aug AUG                Data augmentation factor (1 = no augmentation)
                           (default: 2.0)
  --batch_size BATCH_SIZE  Training batch size (default: 20)
  --batches_per_epoch BATCHES_PER_EPOCH
                           The number of samples per epoch will be this times the
                           batch size (default: 5000)