# -*- coding: utf-8 -*-

#%% 
# AG1a
import numpy as np
import nnwplot

def neuron(X):
    N = X.shape[...]
    net = np.zeros(N)
    W = [....]
    b = # Bias ... ergibt sich aus Aktivierungsschwelle
    for n in range(0,N):
        for j in range ...:
            net[..]+=
    b verwenden ...
    return net ... # threshold ....

#%% 
iris = np.loadtxt("iris.csv",delimiter=',')

X=iris[...]
T=iris[...]

print(X)
print(T)

#%% 
# AG1b
nnwplot.plotTwoFeatures(X[...], T, neuron)