(sitting at AIMS)

From 10 am till 2 pm, this is what I built. Argh! Should not have been so hard.

def fx_normalize(self, array):
norm = []
array_min = np.min(array)
array_max = np.max(array)

for col in range(1, len(array) + 1):
n = float((array[col – 1] – array_min) / (array_max – array_min))
norm = np.append(norm, n)

return norm

… but now, my function appears completely different, the curve of the line gone. Is it just the scale? Yes, further testing confirms this. Good.

Now I will return to my work with Accuracy, Precision, and Recall.