Python evaluate_simulation_results Beispiele

Beispiel #1

Datei: thesis_plots.py Projekt: halfdanrump/MarketSimulation

def issue_65_run_sim_for_clusters(dataset, n_clusters, load_from_file = False):
	from settings import get_fixed_parameters
	from fitness import evaluate_simulation_results
	import settings
	import os
	settings.PLOT_SAVE_PROB = 1
	
	fit, par, gen, ids = IO.load_pickled_generation_dataframe(dataset)
	stats, pvals, kmeans = issue_55_calc_cluster_stats(dataset, n_clusters, load_from_file)
	graph_folder = '/Users/halfdan/Dropbox/Waseda/Research/MarketSimulation/Thesis/data_for_figures/issue_65/'
	
	for c, cluster in enumerate(kmeans.cluster_centers_):
		parameters = get_fixed_parameters()
		
		parameters.update(dict(zip(par.columns, map(int, cluster))))
		print parameters
		#plot_name = '%scluster%s'%(graph_folder, c)
		folder = '%scluster_%s/'%(graph_folder,c)
		if not os.path.exists(folder): os.makedirs(folder)
		evaluate_simulation_results(folder, 0, parameters, range(4), autorun=True)

Beispiel #2

Datei: grid_search.py Projekt: halfdanrump/MarketSimulation

def helper(kwargs):
	evaluate_simulation_results(**kwargs)