build: Train a Keras Model
In tpq/caress: Caress, a Gentler Introduction to Keras

This wrapper automatically compiles and fits a model on the provided training data. Loss is selected automatically for each output using type2loss.

build(
  model,
  x_train,
  y_train,
  lr = 0.001,
  loss = NULL,
  loss_weights = NULL,
  epochs = 30,
  batch_size = 128,
  early_stopping_monitor = "val_loss",
  early_stopping_patience = 5,
  reduce_lr_monitor = "val_loss",
  reduce_lr_patience = epochs,
  validation_split = 0.2
)

`model`	A keras model.
`x_train, y_train`	A numeric or list of numerics. Arguments passed to `keras::fit`.
`lr, loss_weights`	Arguments passed to `keras::compile`.
`loss`	A list of losses, one for each `y_train`. If set to NULL, program will choose loss automatically based on `y_train`. Argument passed to `keras::compile`.
`epochs, batch_size, validation_split`	Arguments passed to `keras::fit`.
`early_stopping_monitor, early_stopping_patience`	Arguments passed to `keras::callback_early_stopping`.
`reduce_lr_monitor, reduce_lr_patience`	Arguments passed to `keras::callback_reduce_lr_on_plateau`.