A wrapper function that executes MantaID workflow.

Usage

mi(
  mi_data_allID,
  cores = NULL,
  levels = c("*", 0:9, letters, LETTERS, "_", ".", "-", " ", "/", "\\", ":"),
  ratio = 0.3,
  para_blc = FALSE,
  model_path = NULL,
  batch_size = 128,
  epochs = 64,
  validation_split = 0.3,
  graph_path = NULL
)

Arguments

mi_data_allID: IDs raw data.
cores: The number of cores used when balancing data.
levels: The vector that includes all the single characters occurred in IDs.
ratio: The ratio of the test set.
para_blc: A logical value whether using parallel computing when balancing data.
model_path: The path to save models.
batch_size: The batch size of deep learning model fitting.
epochs: The epochs of deep learning model fitting.
validation_split: The validation ratio of deep learning model fitting.
graph_path: The path to save graphs.

Value

The list of models and graphs.