ma_cisco_malware/scripts/make_csv_dataset.py

#!/usr/bin/python2

import joblib
import pandas as pd

df = joblib.load("/mnt/projekte/pmlcluster/cisco/trainData/multipleTaskLearning/currentData.joblib")
df = pd.concat(df["data"])
df.reset_index(inplace=True)
df.to_csv("/tmp/rk/full_future_dataset.csv.gz", compression="gzip")
separating logical sections into dataset, models and main. continued initial refactoring 2017-06-30 10:12:20 +02:00			`#!/usr/bin/python2`

			`import joblib`
dataset generation script 2017-06-30 10:49:49 +02:00			`import pandas as pd`
separating logical sections into dataset, models and main. continued initial refactoring 2017-06-30 10:12:20 +02:00
network predicts 2 by 2 classes, refactored threshold to main 2017-06-30 18:43:50 +02:00			`df = joblib.load("/mnt/projekte/pmlcluster/cisco/trainData/multipleTaskLearning/currentData.joblib")`
added new networks for domain embedding and classification task 2017-07-05 17:37:08 +02:00			`df = pd.concat(df["data"])`
dataset generation script 2017-06-30 10:49:49 +02:00			`df.reset_index(inplace=True)`
added new networks for domain embedding and classification task 2017-07-05 17:37:08 +02:00			`df.to_csv("/tmp/rk/full_future_dataset.csv.gz", compression="gzip")`