Easy hello world machine learning example

hello_machine_learning.py

#!/usr/bin/env python3
from sklearn import tree
###################
## Texture
# smooth = 1
# bumpy = 0
## label
# apple  = 0
# orange = 1
##################

## Training Data
# texture
features = [[140, 1], [130, 1], [150, 0], [170, 0]]
# fruit
labels   = [0, 0, 1, 1]

# setup sklearn decision tree and feed training data
clf      = tree.DecisionTreeClassifier()
ml       = clf.fit(features, labels)

## Test
# 160 grams and bumpy
result   = ml.predict([[160, 0]])
## Show result
print("160g and bumpy is (0=apple, 1=orange):", result)

install_instructions

apt-get install python3-numpy python3-scipy python3-sklearn