gcastle_mcsl
MCSL
Package |
|
Version |
1.0.3 |
Language |
|
Docs |
|
Paper |
Ng et al.[1] |
Graph type |
|
Docker |
|
Module folder |
Description
A gradient-based algorithm for non-linear additive noise data by learning the binary adjacency matrix.
Example JSON
[
{
"id": "gcastle_mcsl",
"model_type": "nn",
"hidden_dim": 16,
"graph_thresh": 0.5,
"l1_graph_penalty": "2e-3",
"learning_rate": "3e-2",
"max_iter": 5,
"iter_step": 100,
"init_iter": 2,
"h_tol": "1e-10",
"init_rho": "1e-5",
"rho_thresh": "1e14",
"h_thresh": 0.25,
"rho_multiply": 10,
"temperature": 0.2,
"device_type": "cpu",
"device_ids": "0",
"timeout": null
}
]