Wrapper function for the GeneWalk-specific node2vec parameters
params_genewalk.RdWrapper function for the GeneWalk-specific node2vec parameters
Usage
params_genewalk(
p = 1,
q = 1,
walks_per_node = 100L,
walk_length = 10L,
batch_size = 256L,
n_epochs = 5L,
n_negatives = 5L,
window_size = 1L,
lr = 0.01,
num_workers = 1L
)Arguments
- p
Numeric. Return parameter for biased random walks. Defaults to
1.0.- q
Numeric. In-out parameter for biased random walks. Defaults to
1.0.- walks_per_node
Integer. Number of random walks per node. Defaults to
100L.- walk_length
Integer. Length of each random walk. Defaults to
10L.- batch_size
Integer. Batch size for training. Defaults to
256L.- n_epochs
Integer. Number of training epochs. Defaults to
5L.- n_negatives
Integer. Number of negative samples. Defaults to
5L.- window_size
Integer. Context window size. Defaults to
1L. For GeneWalk you want embedding from direct neighbours.- lr
Numeric. Learning rate. Defaults to
1e-2.- num_workers
Integer. Number of worker threads. Defaults to
1L(for determinism. If set to ≥1, the fitting is much faster at cost of deterministic results.