mi | R Documentation |
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
)
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. |
The list of models and graphs.
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