Hyper parameters

Hyper-parameter: default value	Type & range	Description
device: "cpu"	{"cpu", "gpu"}	Device to run simulations on (CPU or GPU)
op: null	String;	Operator (or model) to simulate per agent
seed: 0	Integer;	Random generator seed
epsilon: 0.0	Float;	Probability that action B is better is 0.5 + epsilon
trials: 10	Integer;	Number of Bernoulli trials each agent performs
lowerupper: 0.99	Float;	Value of belief beyond which network converges
upperlower: 0.50	Float;	Value of belief below which network converges
mistrust: 0.0	Float;	Mistrust
antiupdating: False	Boolean; True or False	Anti-updating rule
init.kind: "uniform"	{"uniform", "gaussian", "constant"}	Distribution agent beliefs are initialised
init.uniform.lower: 0.0	Float;	test
init.uniform.upper: 1.0	Float;	test
init.gaussian.mean: 0.0	Float;	test
init.gaussian.std: 1.0	Float;	test
init.gaussian.lower: -2.0	Float;	test
init.gaussian.upper: 2.0	Float;	test
init.gaussian.attempts: 4	Integer;	test
init.constant.value: null	Float;	test
network.kind: null	String;	test
network.size: null	Integer;	test
network.directed: False	Boolean; True or False	test
network.selfloop: True	Boolean; True or False	test
network.random.seed: null	Integer;	test
network.random.probability: 1.0	Float;	test
network.wattsstrogatz.knn: 2	Integer;	test
network.wattsstrogatz.seed: null	Integer;	test
network.wattsstrogatz.tries: 100	Integer;	test
network.wattsstrogatz.probability: 1.0	Float;	test
network.barabasialbert.attachments: 1	Integer;	test
network.barabasialbert.seed: null	Integer;	test
network.snap.name: null	String;	test
network.ogb.name: "collab"	String;	test
logging.enabled: True	Boolean; True or False	test
logging.interval: 1	Integer;	test
simulation.results: "auto"	String;	test
simulation.repeats: 1	Integer;	test
simulation.steps: 0	Integer;	test