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import pyrobot.brain.psom as psom
from pyrobot.brain.psom import vis
MALE, FEMALE, SWAT, BMC, YES, NO = 0,1,0,1,1,0
ECON, CS, BIO, PSYCH, PHIL, WRITER, GENDER = .10, .25, .40, .55, .70, .85, 1.0
people =[
{"name":"lisa", "sex":FEMALE, "school":SWAT, "glasses":NO, "field":CS},
{"name":"doug", "sex":MALE, "school":BMC, "glasses":NO, "field":CS},
{"name":"wil", "sex":MALE, "school":BMC, "glasses":NO, "field":BIO},
{"name":"paul", "sex":MALE, "school":BMC, "glasses":YES, "field":BIO},
{"name":"anne", "sex":FEMALE, "school":BMC, "glasses":YES, "field":GENDER},
{"name":"karen", "sex":FEMALE, "school":BMC, "glasses":YES, "field":BIO},
{"name":"ted", "sex":MALE, "school":BMC, "glasses":YES, "field":BIO},
{"name":"rebekah", "sex":FEMALE, "school":BMC, "glasses":NO, "field":CS},
{"name":"mark", "sex":MALE, "school":SWAT, "glasses":YES, "field":ECON},
{"name":"geoff", "sex":MALE, "school":BMC, "glasses":YES, "field":CS},
{"name":"deepak", "sex":MALE, "school":BMC, "glasses":NO, "field":CS},
{"name":"rich", "sex":MALE, "school":SWAT, "glasses":YES, "field":CS},
{"name":"alan", "sex":MALE, "school":SWAT, "glasses":YES, "field":PHIL},
{"name":"jan", "sex":FEMALE, "school":BMC, "glasses":YES, "field":WRITER},
{"name":"rob", "sex":MALE, "school":BMC, "glasses":YES, "field":PSYCH}
]
COLS = 4
ROWS = 3
MAXVALUE = 1
dataset = []
for person in people:
dataset.append( (person["name"], person["sex"], person["school"],
person["glasses"], person["field"]) )
mysom = vis.VisPsom(COLS, ROWS, dim=4,
vis_vectortype = 'Hinton',
opts=(MAXVALUE,))
mysom.init_training(0.02, 3, 100)
# train:
for i in range(30):
for vector in dataset:
name, data = vector[0], vector[1:]
model = mysom.train( psom.vector(data) )
# add labels:
for vector in dataset:
name, data = vector[0], vector[1:]
model = mysom.map( psom.vector(data) )
x, y = model.point.x, model.point.y
mysom.add_label(x, y, label="\n" + name)
mysom.win.mainloop() |
