def test_kdTrees(data, queryShape, all_queries):
global method_list, exp_name
exp_name = 'kdTrees'
method_list = ['kd-hybrid']
#'kd-true','kd-true-localness','kd-standard','kd-hybrid','kd-standard-localness','kd-hybrid-localness'
res_cube_abs = np.zeros((len(eps_list), len(seed_list), len(method_list)))
res_cube_rel = np.zeros((len(eps_list), len(seed_list), len(method_list)))
for j in range(len(seed_list)):
queryList = all_queries[j]
kexp = GKExp(data, queryList)
p = Params(seed_list[j])
for i in range(len(eps_list)):
p.Eps = eps_list[i]
for k in range(len(method_list)):
if method_list[k] == 'kd-pure':
res_cube_abs[i, j,
k], res_cube_rel[i, j,
k] = kexp.run_Kd_pure(p)
elif method_list[k] == 'kd-true':
res_cube_abs[i, j,
k], res_cube_rel[i, j,
k] = kexp.run_Kd_true(p)
elif method_list[k] == 'kd-true-localness':
res_cube_abs[i, j, k], res_cube_rel[
i, j, k] = kexp.run_Kd_true_localness(p)
elif method_list[k] == 'kd-standard':
res_cube_abs[i, j,
k], res_cube_rel[i, j,
k] = kexp.run_Kd_standard(p)
elif method_list[k] == 'kd-standard-localness':
res_cube_abs[i, j, k], res_cube_rel[
i, j, k] = kexp.run_Kd_standard_localness(p)
elif method_list[k] == 'kd-hybrid':
res_cube_abs[i, j,
k], res_cube_rel[i, j,
k] = kexp.run_Kd_hybrid(p)
elif method_list[k] == 'kd-hybrid-localness':
res_cube_abs[i, j, k], res_cube_rel[
i, j, k] = kexp.run_Kd_hybrid_localness(p)
else:
logging.error('No such index structure!')
sys.exit(1)
res_abs_summary = np.average(res_cube_abs, axis=1)
res_rel_summary = np.average(res_cube_rel, axis=1)
#np.savetxt(Params.resdir+exp_name+'_abs_'+`int(queryShape[0]*10)`+'_'+`int(queryShape[1]*10)`, res_abs_summary, fmt='%.4f\t')
np.savetxt(Params.resdir + exp_name + '_rel_' +
` int(queryShape[0] * 10) ` + '_' + ` int(queryShape[1] * 10) `,
res_rel_summary,
fmt='%.4f\t')
def test_kdTrees(data, queryShape, all_queries):
global method_list, exp_name
exp_name = "kdTrees"
method_list = ["kd-hybrid"]
#'kd-true','kd-true-localness','kd-standard','kd-hybrid','kd-standard-localness','kd-hybrid-localness'
res_cube_abs = np.zeros((len(eps_list), len(seed_list), len(method_list)))
res_cube_rel = np.zeros((len(eps_list), len(seed_list), len(method_list)))
for j in range(len(seed_list)):
queryList = all_queries[j]
kexp = GKExp(data, queryList)
p = Params(seed_list[j])
for i in range(len(eps_list)):
p.Eps = eps_list[i]
for k in range(len(method_list)):
if method_list[k] == "kd-pure":
res_cube_abs[i, j, k], res_cube_rel[i, j, k] = kexp.run_Kd_pure(p)
elif method_list[k] == "kd-true":
res_cube_abs[i, j, k], res_cube_rel[i, j, k] = kexp.run_Kd_true(p)
elif method_list[k] == "kd-true-localness":
res_cube_abs[i, j, k], res_cube_rel[i, j, k] = kexp.run_Kd_true_localness(p)
elif method_list[k] == "kd-standard":
res_cube_abs[i, j, k], res_cube_rel[i, j, k] = kexp.run_Kd_standard(p)
elif method_list[k] == "kd-standard-localness":
res_cube_abs[i, j, k], res_cube_rel[i, j, k] = kexp.run_Kd_standard_localness(p)
elif method_list[k] == "kd-hybrid":
res_cube_abs[i, j, k], res_cube_rel[i, j, k] = kexp.run_Kd_hybrid(p)
elif method_list[k] == "kd-hybrid-localness":
res_cube_abs[i, j, k], res_cube_rel[i, j, k] = kexp.run_Kd_hybrid_localness(p)
else:
logging.error("No such index structure!")
sys.exit(1)
res_abs_summary = np.average(res_cube_abs, axis=1)
res_rel_summary = np.average(res_cube_rel, axis=1)
# np.savetxt(Params.resdir+exp_name+'_abs_'+`int(queryShape[0]*10)`+'_'+`int(queryShape[1]*10)`, res_abs_summary, fmt='%.4f\t')
np.savetxt(
Params.resdir + exp_name + "_rel_" + ` int(queryShape[0] * 10) ` + "_" + ` int(queryShape[1] * 10) `,
res_rel_summary,
fmt="%.4f\t",
)
