import run_kde
run_kde.run_benchmark(
df_path="bigdata/pmnist.csv",
n=70000,
numScore=30000,
tol=0.01,
cols=list(range(2)),
bwMult=3.0,
use_std=True,
denorm=True,
)
import run_kde
run_kde.run_benchmark(
df_path="bigdata/tmy3.csv",
n=2242560,
numScore=10,
tol=0.1,
cols=list(range(4)),
use_std=True,
)
import run_kde
run_kde.run_benchmark(df_path="bigdata/hep.csv",
n=10500000,
numScore=200,
tol=0.1,
cols=list(range(1, 9)),
use_std=True,
denorm=True)
import run_kde
run_kde.run_benchmark(
df_path="bigdata/bgauss.csv",
n=90000,
numScore=90000,
tol=0.1,
cols=list(range(2)),
use_std=True,
)
import run_kde
run_kde.run_benchmark(
df_path="bigdata/otmy3.csv",
n=1822080,
# n=1000000,
numScore=500,
tol=0.1,
cols=list(range(4)),
use_std=True,
)
import run_kde
run_kde.run_benchmark(df_path="bigdata/sift.csv",
n=11164866,
numScore=60,
tol=0.1,
cols=list(range(64)),
use_std=True,
denorm=True)
import run_kde
run_kde.run_benchmark(
df_path="bigdata/homesensor.csv",
n=928991,
numScore=20000,
tol=0.1,
cols=list(range(2, 6)),
use_std=True,
)
import run_kde
run_kde.run_benchmark(
df_path="bigdata/hep.csv",
# n=2242560,
n=1000000,
numScore=100,
tol=0.1,
cols=list(range(1, 28)),
use_std=True,
)
import run_kde
run_kde.run_benchmark(
df_path="bigdata/mnist.csv",
n=70000,
numScore=5000,
tol=0.01,
cols=list(range(1, 785)),
bwValue=1000.0,
denorm=True,
)
