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, )