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View Code? Open in Web Editor NEWA set of simple Python scripts for pre-processing large files
Home Page: http://fastml.com/introducing-phraug/
License: BSD 2-Clause "Simplified" License
A set of simple Python scripts for pre-processing large files
Home Page: http://fastml.com/introducing-phraug/
License: BSD 2-Clause "Simplified" License
I did something like this:
#convert to libsvm format https://github.com/zygmuntz/phraug/blob/master/csv2libsvm.py
#python csv2libsvm.py spambase_renamed_class.csv libsvm.data -1 False
data = open("spambase/libsvm.data", "r")
data2 = open("spambase/libsvm2.data", "a")
i = 0
for line in data:
temp = line[-3:]
white_space_index = line[2:].find(" ")
if i == 0:
white_space_index = 0
i += 1
if "-1" in temp:
line = "-1 " + line[white_space_index + 2:-6]
else:
line = "1 " + line[white_space_index + 2:-6]
#drop last index (class) and first because it is the index nr.
data2.write(line + "\n")
data.close()
data2.close()
hi, I am newbie to spark, and want to using libsvm format data to do some feautre statistics and feature selection, now I have loaded libsvm data using MLUtils.loadLibSVMFile , but I don't know how to do next, do u have some suggestions about how to using libsvm data do feature statistics and selection? thx :)
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