def setup_sigmod(ndim, volperc):
params = []
#for kdim in xrange(1, ndim+1):
kdim = ndim
for uo in (30, 80):
tablename = 'data_%d_%d_1000_0d%d_%duo' % (ndim, kdim, int(100.*volperc), uo)
params.append((tablename, (2000, ndim, kdim, volperc, 10, 10, uo, 10)))
for tablename, args in params:
obox, sbox, schema, pts = gen_points(*args)
setup_synth_data(tablename, schema, pts)
def generate_datasets(db, ndim, uo=30, npts=2000):
random.seed(0)
"""
generates the 2/3/4-d datasets and stores them in db: sigmod
"""
mid_box, high_box, schema, generator = gen_points(npts, ndim, ndim, 0.25, 10, 10, uo, 10)
pts = [pt for pt in generator]
c_mid, c_high = compute_c_values(pts, mid_box, high_box)
# store boundaries
tablename = 'data_%d_%d' % (ndim, int(uo))
id = add_config(db, tablename, 2000, ndim, ndim, 0.25, 10, 10, uo, 10, mid_box, high_box, c_high)
# save the damn thing
save_pts(db, tablename, pts)
