gcastle_grandag

GraNDAG

Package	gCastle
Version	1.0.3
Language	Python
Docs
Paper	Lachapelle et al.[1]
Graph type	DAG
Docker	bpimages/gcastle:1.0.3
Module folder	gcastle_grandag

Description

A gradient-based algorithm using neural network modeling for non-linear additive noise data.

Example JSON

[
  {
    "id": "gcastle_grandag",
    "hidden_num": 2,
    "hidden_dim": 10,
    "batch_size": 64,
    "lr": 0.001,
    "iterations": 1000,
    "model_name": "NonLinGaussANM",
    "nonlinear": "leaky-relu",
    "optimizer": "rmsprop",
    "h_threshold": "1e-8",
    "device_type": "cpu",
    "use_pns": false,
    "pns_thresh": 0.75,
    "num_neighbors": null,
    "normalize": false,
    "precision": false,
    "random_seed": 42,
    "jac_thresh": true,
    "lambda_init": 0.0,
    "mu_init": 0.001,
    "omega_lambda": 0.0001,
    "omega_mu": 0.9,
    "stop_crit_win": 100,
    "edge_clamp_range": 0.0001,
    "norm_prod": "paths",
    "square_prod": false,
    "timeout": null
  }
]