A wrapper function that executes MantaID workflow.
mi(
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
)The list of models and graphs.
The number of cores used when balancing data.
The vector that includes all the single characters occurred in IDs.
The ratio of the test set.
A logical value whether using parallel computing when balancing data.
The path to save models.
The batch size of deep learning model fitting.
The epochs of deep learning model fitting.
The validation ratio of deep learning model fitting.
The path to save graphs.