Created
November 8, 2018 18:11
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#! /bin/env python | |
"""Convert higgs dataset from GBM-Benchmarks to libsvm format""" | |
import pandas as pd | |
with open('HIGGS.csv') as f: | |
num_lines = sum(1 for line in f) | |
print(num_lines) | |
train_lines = int(num_lines * 0.95) | |
test_lines = num_lines - train_lines | |
train_f = open("HIGGS.csv.train", "w") | |
test_f = open("HIGGS.csv.test", "w") | |
train_f.write("") | |
test_f.write("") | |
train_f = open("HIGGS.csv.train", "a") | |
test_f = open("HIGGS.csv.test", "a") | |
with open('HIGGS.csv') as f: | |
for li,line in enumerate(f): | |
fields = line.split(",") | |
output = str(int(float(fields[0]))) | |
for i,f in enumerate(fields[1:]): | |
output += " " + str(i) + ":" + f | |
if li % 10000 == 0: | |
print(float(li)/num_lines) | |
if li < train_lines: | |
train_f.write(output) | |
else: | |
test_f.write(output) |
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