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@josemariagarcia95
Created July 24, 2018 18:45
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import numpy as np
import scipy.stats
#train - DataFrame
relevant_features = ["duration", "src_bytes", "dst_bytes"]
means = np.mean(train[relevant_features].values, axis=0)
stds = np.std(train[relevant_features].values, axis=0)
#creates norm distribution for each data
unorms = []
for var in range(len(means)):
unorms.append(scipy.stats.norm(means[var],stds[var]))
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