TAXONS  0.1
Task Agnostic eXploration of Outcome spaces through Novelty and Surprise
train.py File Reference

Namespaces

 train
 

Functions

def train.main (seed, params)
 

Variables

 train.enabled
 
 train.p = parameters.Params()
 
 train.parallel_threads = p.threads
 
list train.seeds
 
list train.multiseeds = []
 
int train.total_train_time = 0
 
list train.params = [parameters.Params() for i in range(len(seeds))]
 
 train.nodes = min(len(seeds), pathos.threading.cpu_count()-1)
 
 train.start_time = time.monotonic()
 
 train.results = pool.map(main, seeds, params)
 
 train.end_time = time.monotonic()
 
bool train.end = False