thesoens/data.py

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2022-01-29 13:04:08 +01:00
import numpy as np
def data(n=1000):
"""
Generate 2d gaussian data. Few points but every model should have slightly different data.
Then use a big dataset as comparison algo. Basically subsampling instead of feature bagging.
"""
return np.random.normal(1.0,0.5,(n,2))
if __name__ == '__main__':
x=data()
from plt import plt
plt.plot(x[:,0],x[:,1],'.')
plt.how()
#print(x,y,z)