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