Wrapper function for the node2vec parameters
params_node2vec.RdThese are general node2vec parameters, designed for speed. They will default
to available cores - 2 (min 1).
Usage
params_node2vec(
p = 1,
q = 1,
walks_per_node = 40L,
walk_length = 40L,
batch_size = 256L,
n_epochs = 20L,
n_negatives = 5L,
window_size = 2L,
lr = 0.01,
num_workers = NULL
)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
40L.- walk_length
Integer. Length of each random walk. Defaults to
40L.- batch_size
Integer. Batch size for training. Defaults to
256L.- n_epochs
Integer. Number of training epochs. Defaults to
20L.- n_negatives
Integer. Number of negative samples. Defaults to
5L.- window_size
Integer. Context window size. Defaults to
2L.- lr
Numeric. Learning rate. Defaults to
1e-2.- num_workers
Optional integer. If kept to
NULL, it will default toavailable cores - 2 (min 1).