Description Usage Arguments Value Examples
Perform SVM learning on either quake, sandberg or linnarsson data sets.
1 | support_vector_machines(dataset, teach.proportion, kern)
|
dataset |
Name of the toy dataset |
teach.proportion |
Proportion of cells used for teaching, the rest of the cells are used for studying |
kern |
The kernel used in training and predicting: linear, polynomal, radial, sigmoid. See ?svm from "clue" package for more information. |
#'
Predicted cell labels for cells used in study
Adjusted Rand Index - comparison of pred wiht gold standard
model parameters used in SVM
Training dataset
1 | res <- support_vector_machines("sandberg", 0.7)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.