遗传算法的神经网络python实现代码
- ## {{{ http://code.activestate.com/recipes/578241/ (r1)
- from operator import itemgetter, attrgetter
- import math
- import random
- import string
- import timeit
- from timeit import Timer as t
- import matplotlib.pyplot as plt
- import numpy as np
- def sigmoid (x):
- return math.tanh(x)
- def makeMatrix ( I, J, fill=0.0):
- m = []
- for i in range(I):
- m.append([fill]*J)
- return m
- def randomizeMatrix ( matrix, a, b):
- for i in range ( len (matrix) ):
- for j in range ( len (matrix[0]) ):
- matrix[i][j] = random.uniform(a,b)
- class NN:
- def __init__(self, NI, NH, NO):
- self.ni = NI
- self.nh = NH
- self.no = NO
- self.ai = [1.0]*self.ni
- self.ah = [1.0]*self.nh
- self.ao = [1.0]*self.no
- self.wi = [ [0.0]*self.nh for i in range(self.ni) ]
- self.wo = [ [0.0]*self.no for j in range(self.nh) ]
- randomizeMatrix ( self.wi, -0.2, 0.2 )
- randomizeMatrix ( self.wo, -2.0, 2.0 )
- def runNN (self, inputs):
- if len(inputs) != self.ni:
- print 'incorrect number of inputs'
- for i in range(self.ni):
- self.ai[i] = inputs[i]
- for j in range(self.nh):
- self.ah[j] = sigmoid(sum([ self.ai[i]*self.wi[i][j] for i in range(self.ni) ]))
- for k in range(self.no):
- self.ao[k] = sigmoid(sum([ self.ah[j]*self.wo[j][k] for j in range(self.nh) ]))
- return self.ao
- def weights(self):
- print 'Input weights:'
- for i in range(self.ni):
- print self.wi[i]
- print 'Output weights:'
- for j in range(self.nh):
- print self.wo[j]
- print ''
- def test(self, patterns):
- results, targets = [], []
- for p in patterns:
- inputs = p[0]
- rounded = [ round(i) for i in self.runNN(inputs) ]
- if rounded == p[1]: result = '+++++'
- else: result = '-----'
- print '%s %s %s %s %s %s %s' %( 'Inputs:', p[0], '-->', str(self.runNN(inputs)).rjust(65), 'Target', p[1], result)
- results+= self.runNN(inputs)
- targets += p[1]
- return results, targets
- def sumErrors (self):
- error = 0.0
- for p in pat:
- inputs = p[0]
- targets = p[1]
- self.runNN(inputs)
- error += self.calcError(targets)
- inverr = 1.0/error
- return inverr
- def calcError (self, targets):
- error = 0.0
- for k in range(len(targets)):
- error += 0.5 * (targets[k]-self.ao[k])**2
- return error
- def assignWeights (self, weights, I):
- io = 0
- for i in range(self.ni):
- for j in range(self.nh):
- self.wi[i][j] = weights[I][io][i][j]
- io = 1
- for j in range(self.nh):
- for k in range(self.no):
- self.wo[j][k] = weights[I][io][j][k]
- def testWeights (self, weights, I):
- same = []
- io = 0
- for i in range(self.ni):
- for j in range(self.nh):
- if self.wi[i][j] != weights[I][io][i][j]:
- same.append(('I',i,j, round(self.wi[i][j],2),round(weights[I][io][i][j],2),round(self.wi[i][j] - weights[I][io][i][j],2)))
- io = 1
- for j in range(self.nh):
- for k in range(self.no):
- if self.wo[j][k] != weights[I][io][j][k]:
- same.append((('O',j,k), round(self.wo[j][k],2),round(weights[I][io][j][k],2),round(self.wo[j][k] - weights[I][io][j][k],2)))
- if same != []:
- print same
- def roulette (fitnessScores):
- cumalativeFitness = 0.0
- r = random.random()
- for i in range(len(fitnessScores)):
- cumalativeFitness += fitnessScores[i]
- if cumalativeFitness > r:
- return i
- def calcFit (numbers): # each fitness is a fraction of the total error
- total, fitnesses = sum(numbers), []
- for i in range(len(numbers)):
- fitnesses.append(numbers[i]/total)
- return fitnesses
- # takes a population of NN objects
- def pairPop (pop):
- weights, errors = [], []
- for i in range(len(pop)): # for each individual
- weights.append([pop[i].wi,pop[i].wo]) # append input & output weights of individual to list of all pop weights
- errors.append(pop[i].sumErrors()) # append 1/sum(MSEs) of individual to list of pop errors
- fitnesses = calcFit(errors) # fitnesses are a fraction of the total error
- for i in range(int(pop_size*0.15)):
- print str(i).zfill(2), '1/sum(MSEs)', str(errors[i]).rjust(15), str(int(errors[i]*graphical_error_scale)*'-').rjust(20), 'fitness'.rjust(12), str(fitnesses[i]).rjust(17), str(int(fitnesses[i]*1000)*'-').rjust(20)
- del pop
- return zip(weights, errors,fitnesses) # weights become item[0] and fitnesses[1] in this way fitness is paired with its weight in a tuple
- def rankPop (newpopW,pop):
- errors, copy = [], [] # a fresh pop of NN's are assigned to a list of len pop_size
- #pop = [NN(ni,nh,no)]*pop_size # this does not work as they are all copies of eachother
- pop = [NN(ni,nh,no) for i in range(pop_size) ]
- for i in range(pop_size): copy.append(newpopW[i])
- for i in range(pop_size):
- pop[i].assignWeights(newpopW, i) # each individual is assigned the weights generated from previous iteration
- pop[i].testWeights(newpopW, i)
- for i in range(pop_size):
- pop[i].testWeights(newpopW, i)
- pairedPop = pairPop(pop) # the fitness of these weights is calculated and tupled with the weights
- rankedPop = sorted(pairedPop, key = itemgetter(-1), reverse = True) # weights are sorted in descending order of fitness (fittest first)
- errors = [ eval(repr(x[1])) for x in rankedPop ]
- return rankedPop, eval(repr(rankedPop[0][1])), float(sum(errors))/float(len(errors))
- def iteratePop (rankedPop):
- rankedWeights = [ item[0] for item in rankedPop]
- fitnessScores = [ item[-1] for item in rankedPop]
- newpopW = [ eval(repr(x)) for x in rankedWeights[:int(pop_size*0.15)] ]
- while len(newpopW) <= pop_size: # Breed two randomly selected but different chromos until pop_size reached
- ch1, ch2 = [], []
- index1 = roulette(fitnessScores)
- index2 = roulette(fitnessScores)
- while index1 == index2: # ensures different chromos are used for breeeding
- index2 = roulette(fitnessScores)
- #index1, index2 = 3,4
- ch1.extend(eval(repr(rankedWeights[index1])))
- ch2.extend(eval(repr(rankedWeights[index2])))
- if random.random() < crossover_rate:
- ch1, ch2 = crossover(ch1, ch2)
- mutate(ch1)
- mutate(ch2)
- newpopW.append(ch1)
- newpopW.append(ch2)
- return newpopW
- graphical_error_scale = 100
- max_iterations = 4000
- pop_size = 100
- mutation_rate = 0.1
- crossover_rate = 0.8
- ni, nh, no = 4,6,1
- def main ():
- # Rank first random population
- pop = [ NN(ni,nh,no) for i in range(pop_size) ] # fresh pop
- pairedPop = pairPop(pop)
- rankedPop = sorted(pairedPop, key = itemgetter(-1), reverse = True) # THIS IS CORRECT
- # Keep iterating new pops until max_iterations
- iters = 0
- tops, avgs = [], []
- while iters != max_iterations:
- if iters%1 == 0:
- print 'Iteration'.rjust(150), iters
- newpopW = iteratePop(rankedPop)
- rankedPop, toperr, avgerr = rankPop(newpopW,pop)
- tops.append(toperr)
- avgs.append(avgerr)
- iters+=1
- # test a NN with the fittest weights
- tester = NN (ni,nh,no)
- fittestWeights = [ x[0] for x in rankedPop ]
- tester.assignWeights(fittestWeights, 0)
- results, targets = tester.test(testpat)
- x = np.arange(0,150)
- title2 = 'Test after '+str(iters)+' iterations'
- plt.title(title2)
- plt.ylabel('Node output')
- plt.xlabel('Instances')
- plt.plot( results, 'xr', linewidth = 0.5)
- plt.plot( targets, 's', color = 'black',linewidth = 3)
- #lines = plt.plot( results, 'sg')
- plt.annotate(s='Target Values', xy = (110, 0),color = 'black', family = 'sans-serif', size ='small')
- plt.annotate(s='Test Values', xy = (110, 0.5),color = 'red', family = 'sans-serif', size ='small', weight = 'bold')
- plt.figure(2)
- plt.subplot(121)
- plt.title('Top individual error evolution')
- plt.ylabel('Inverse error')
- plt.xlabel('Iterations')
- plt.plot( tops, '-g', linewidth = 1)
- plt.subplot(122)
- plt.plot( avgs, '-g', linewidth = 1)
- plt.title('Population average error evolution')
- plt.ylabel('Inverse error')
- plt.xlabel('Iterations')
- plt.show()
- print 'max_iterations',max_iterations,'\tpop_size',pop_size,'pop_size*0.15',int(pop_size*0.15),'\tmutation_rate',mutation_rate,'crossover_rate',crossover_rate,'ni, nh, no',ni, nh, no
- def crossover (m1, m2):
- r = random.randint(0, (ni*nh)+(nh*no) ) # ni*nh+nh*no = total weights
- output1 = [ [[0.0]*nh]*ni ,[[0.0]*no]*nh ]
- output2 = [ [[0.0]*nh]*ni ,[[0.0]*no]*nh ]
- for i in range(len(m1)):
- for j in range(len(m1[i])):
- for k in range(len(m1[i][j])):
- if r >= 0:
- output1[i][j][k] = m1[i][j][k]
- output2[i][j][k] = m2[i][j][k]
- elif r < 0:
- output1[i][j][k] = m2[i][j][k]
- output2[i][j][k] = m1[i][j][k]
- r -=1
- return output1, output2
- def mutate (m):
- # could include a constant to control
- # how much the weight is mutated by
- for i in range(len(m)):
- for j in range(len(m[i])):
- for k in range(len(m[i][j])):
- if random.random() < mutation_rate:
- m[i][j][k] = random.uniform(-2.0,2.0)
- if __name__ == "__main__":
- main()
- pat = [
- [[5.1, 3.5, 1.4, 0.2], [-1], ['Iris-setosa']] ,
- [[4.9, 3.0, 1.4, 0.2], [-1], ['Iris-setosa']] ,
- [[4.7, 3.2, 1.3, 0.2], [-1], ['Iris-setosa']] ,
- [[5.4, 3.9, 1.7, 0.4], [-1], ['Iris-setosa']] ,
- [[4.6, 3.4, 1.4, 0.3], [-1], ['Iris-setosa']] ,
- [[5.0, 3.4, 1.5, 0.2], [-1], ['Iris-setosa']] ,
- [[4.4, 2.9, 1.4, 0.2], [-1], ['Iris-setosa']] ,
- [[4.9, 3.1, 1.5, 0.1], [-1], ['Iris-setosa']] ,
- [[5.4, 3.7, 1.5, 0.2], [-1], ['Iris-setosa']] ,
- [[4.8, 3.4, 1.6, 0.2], [-1], ['Iris-setosa']] ,
- [[4.8, 3.0, 1.4, 0.1], [-1], ['Iris-setosa']] ,
- [[4.3, 3.0, 1.1, 0.1], [-1], ['Iris-setosa']] ,
- [[5.8, 4.0, 1.2, 0.2], [-1], ['Iris-setosa']] ,
- [[5.7, 4.4, 1.5, 0.4], [-1], ['Iris-setosa']] ,
- [[5.4, 3.9, 1.3, 0.4], [-1], ['Iris-setosa']] ,
- [[5.1, 3.5, 1.4, 0.3], [-1], ['Iris-setosa']] ,
- [[5.7, 3.8, 1.7, 0.3], [-1], ['Iris-setosa']] ,
- [[5.1, 3.8, 1.5, 0.3], [-1], ['Iris-setosa']] ,
- [[5.4, 3.4, 1.7, 0.2], [-1], ['Iris-setosa']] ,
- [[5.1, 3.7, 1.5, 0.4], [-1], ['Iris-setosa']] ,
- [[4.6, 3.6, 1.0, 0.2], [-1], ['Iris-setosa']] ,
- [[5.1, 3.3, 1.7, 0.5], [-1], ['Iris-setosa']] ,
- [[4.8, 3.4, 1.9, 0.2], [-1], ['Iris-setosa']] ,
- [[5.0, 3.0, 1.6, 0.2], [-1], ['Iris-setosa']] ,
- [[5.0, 3.4, 1.6, 0.4], [-1], ['Iris-setosa']] ,
- [[5.2, 3.5, 1.5, 0.2], [-1], ['Iris-setosa']] ,
- [[5.2, 3.4, 1.4, 0.2], [-1], ['Iris-setosa']] ,
- [[4.7, 3.2, 1.6, 0.2], [-1], ['Iris-setosa']] ,
- [[4.8, 3.1, 1.6, 0.2], [-1], ['Iris-setosa']] ,
- [[5.4, 3.4, 1.5, 0.4], [-1], ['Iris-setosa']] ,
- [[5.2, 4.1, 1.5, 0.1], [-1], ['Iris-setosa']] ,
- [[5.5, 4.2, 1.4, 0.2], [-1], ['Iris-setosa']] ,
- [[4.9, 3.1, 1.5, 0.1], [-1], ['Iris-setosa']] ,
- [[5.0, 3.2, 1.2, 0.2], [-1], ['Iris-setosa']] ,
- [[5.5, 3.5, 1.3, 0.2], [-1], ['Iris-setosa']] ,
- [[4.9, 3.1, 1.5, 0.1], [-1], ['Iris-setosa']] ,
- [[4.4, 3.0, 1.3, 0.2], [-1], ['Iris-setosa']] ,
- [[5.1, 3.4, 1.5, 0.2], [-1], ['Iris-setosa']] ,
- [[5.0, 3.5, 1.3, 0.3], [-1], ['Iris-setosa']] ,
- [[4.5, 2.3, 1.3, 0.3], [-1], ['Iris-setosa']] ,
- [[4.4, 3.2, 1.3, 0.2], [-1], ['Iris-setosa']] ,
- [[5.0, 3.5, 1.6, 0.6], [-1], ['Iris-setosa']] ,
- [[5.1, 3.8, 1.9, 0.4], [-1], ['Iris-setosa']] ,
- [[4.8, 3.0, 1.4, 0.3], [-1], ['Iris-setosa']] ,
- [[5.1, 3.8, 1.6, 0.2], [-1], ['Iris-setosa']] ,
- [[4.6, 3.2, 1.4, 0.2], [-1], ['Iris-setosa']] ,
- [[5.3, 3.7, 1.5, 0.2], [-1], ['Iris-setosa']] ,
- [[5.0, 3.3, 1.4, 0.2], [-1], ['Iris-setosa']] ,
- [[7.0, 3.2, 4.7, 1.4], [0], ['Iris-versicolor']] ,
- [[6.4, 3.2, 4.5, 1.5], [0], ['Iris-versicolor']] ,
- [[6.9, 3.1, 4.9, 1.5], [0], ['Iris-versicolor']] ,
- [[5.5, 2.3, 4.0, 1.3], [0], ['Iris-versicolor']] ,
- [[6.5, 2.8, 4.6, 1.5], [0], ['Iris-versicolor']] ,
- [[5.7, 2.8, 4.5, 1.3], [0], ['Iris-versicolor']] ,
- [[6.3, 3.3, 4.7, 1.6], [0], ['Iris-versicolor']] ,
- [[4.9, 2.4, 3.3, 1.0], [0], ['Iris-versicolor']] ,
- [[6.6, 2.9, 4.6, 1.3], [0], ['Iris-versicolor']] ,
- [[5.2, 2.7, 3.9, 1.4], [0], ['Iris-versicolor']] ,
- [[5.0, 2.0, 3.5, 1.0], [0], ['Iris-versicolor']] ,
- [[5.9, 3.0, 4.2, 1.5], [0], ['Iris-versicolor']] ,
- [[6.0, 2.2, 4.0, 1.0], [0], ['Iris-versicolor']] ,
- [[6.1, 2.9, 4.7, 1.4], [0], ['Iris-versicolor']] ,
- [[5.6, 2.9, 3.6, 1.3], [0], ['Iris-versicolor']] ,
- [[6.7, 3.1, 4.4, 1.4], [0], ['Iris-versicolor']] ,
- [[5.6, 3.0, 4.5, 1.5], [0], ['Iris-versicolor']] ,
- [[5.8, 2.7, 4.1, 1.0], [0], ['Iris-versicolor']] ,
- [[6.2, 2.2, 4.5, 1.5], [0], ['Iris-versicolor']] ,
- [[5.6, 2.5, 3.9, 1.1], [0], ['Iris-versicolor']] ,
- [[5.9, 3.2, 4.8, 1.8], [0], ['Iris-versicolor']] ,
- [[6.1, 2.8, 4.0, 1.3], [0], ['Iris-versicolor']] ,
- [[6.3, 2.5, 4.9, 1.5], [0], ['Iris-versicolor']] ,
- [[6.1, 2.8, 4.7, 1.2], [0], ['Iris-versicolor']] ,
- [[6.4, 2.9, 4.3, 1.3], [0], ['Iris-versicolor']] ,
- [[6.6, 3.0, 4.4, 1.4], [0], ['Iris-versicolor']] ,
- [[6.8, 2.8, 4.8, 1.4], [0], ['Iris-versicolor']] ,
- [[6.7, 3.0, 5.0, 1.7], [0], ['Iris-versicolor']] ,
- [[6.0, 2.9, 4.5, 1.5], [0], ['Iris-versicolor']] ,
- [[5.7, 2.6, 3.5, 1.0], [0], ['Iris-versicolor']] ,
- [[5.5, 2.4, 3.8, 1.1], [0], ['Iris-versicolor']] ,
- [[5.5, 2.4, 3.7, 1.0], [0], ['Iris-versicolor']] ,
- [[5.8, 2.7, 3.9, 1.2], [0], ['Iris-versicolor']] ,
- [[6.0, 2.7, 5.1, 1.6], [0], ['Iris-versicolor']] ,
- [[5.4, 3.0, 4.5, 1.5], [0], ['Iris-versicolor']] ,
- [[6.0, 3.4, 4.5, 1.6], [0], ['Iris-versicolor']] ,
- [[6.7, 3.1, 4.7, 1.5], [0], ['Iris-versicolor']] ,
- [[6.3, 2.3, 4.4, 1.3], [0], ['Iris-versicolor']] ,
- [[5.6, 3.0, 4.1, 1.3], [0], ['Iris-versicolor']] ,
- [[6.1, 3.0, 4.6, 1.4], [0], ['Iris-versicolor']] ,
- [[5.8, 2.6, 4.0, 1.2], [0], ['Iris-versicolor']] ,
- [[5.0, 2.3, 3.3, 1.0], [0], ['Iris-versicolor']] ,
- [[5.6, 2.7, 4.2, 1.3], [0], ['Iris-versicolor']] ,
- [[5.7, 3.0, 4.2, 1.2], [0], ['Iris-versicolor']] ,
- [[5.7, 2.9, 4.2, 1.3], [0], ['Iris-versicolor']] ,
- [[6.2, 2.9, 4.3, 1.3], [0], ['Iris-versicolor']] ,
- [[5.1, 2.5, 3.0, 1.1], [0], ['Iris-versicolor']] ,
- [[5.7, 2.8, 4.1, 1.3], [0], ['Iris-versicolor']] ,
- [[6.3, 3.3, 6.0, 2.5], [1], ['Iris-virginica']] ,
- [[5.8, 2.7, 5.1, 1.9], [1], ['Iris-virginica']] ,
- [[7.1, 3.0, 5.9, 2.1], [1], ['Iris-virginica']] ,
- [[6.3, 2.9, 5.6, 1.8], [1], ['Iris-virginica']] ,
- [[6.5, 3.0, 5.8, 2.2], [1], ['Iris-virginica']] ,
- [[7.6, 3.0, 6.6, 2.1], [1], ['Iris-virginica']] ,
- [[4.9, 2.5, 4.5, 1.7], [1], ['Iris-virginica']] ,
- [[7.3, 2.9, 6.3, 1.8], [1], ['Iris-virginica']] ,
- [[6.7, 2.5, 5.8, 1.8], [1], ['Iris-virginica']] ,
- [[7.2, 3.6, 6.1, 2.5], [1], ['Iris-virginica']] ,
- [[6.5, 3.2, 5.1, 2.0], [1], ['Iris-virginica']] ,
- [[6.4, 2.7, 5.3, 1.9], [1], ['Iris-virginica']] ,
- [[6.8, 3.0, 5.5, 2.1], [1], ['Iris-virginica']] ,
- [[5.7, 2.5, 5.0, 2.0], [1], ['Iris-virginica']] ,
- [[5.8, 2.8, 5.1, 2.4], [1], ['Iris-virginica']] ,
- [[7.7, 3.8, 6.7, 2.2], [1], ['Iris-virginica']] ,
- [[7.7, 2.6, 6.9, 2.3], [1], ['Iris-virginica']] ,
- [[6.0, 2.2, 5.0, 1.5], [1], ['Iris-virginica']] ,
- [[6.9, 3.2, 5.7, 2.3], [1], ['Iris-virginica']] ,
- [[5.6, 2.8, 4.9, 2.0], [1], ['Iris-virginica']] ,
- [[7.7, 2.8, 6.7, 2.0], [1], ['Iris-virginica']] ,
- [[6.3, 2.7, 4.9, 1.8], [1], ['Iris-virginica']] ,
- [[6.7, 3.3, 5.7, 2.1], [1], ['Iris-virginica']] ,
- [[7.2, 3.2, 6.0, 1.8], [1], ['Iris-virginica']] ,
- [[6.2, 2.8, 4.8, 1.8], [1], ['Iris-virginica']] ,
- [[6.1, 3.0, 4.9, 1.8], [1], ['Iris-virginica']] ,
- [[6.4, 2.8, 5.6, 2.1], [1], ['Iris-virginica']] ,
- [[7.2, 3.0, 5.8, 1.6], [1], ['Iris-virginica']] ,
- [[7.4, 2.8, 6.1, 1.9], [1], ['Iris-virginica']] ,
- [[7.9, 3.8, 6.4, 2.0], [1], ['Iris-virginica']] ,
- [[6.4, 2.8, 5.6, 2.2], [1], ['Iris-virginica']] ,
- [[6.3, 2.8, 5.1, 1.5], [1], ['Iris-virginica']] ,
- [[6.1, 2.6, 5.6, 1.4], [1], ['Iris-virginica']] ,
- [[7.7, 3.0, 6.1, 2.3], [1], ['Iris-virginica']] ,
- [[6.3, 3.4, 5.6, 2.4], [1], ['Iris-virginica']] ,
- [[6.4, 3.1, 5.5, 1.8], [1], ['Iris-virginica']] ,
- [[6.0, 3.0, 4.8, 1.8], [1], ['Iris-virginica']] ,
- [[6.9, 3.1, 5.4, 2.1], [1], ['Iris-virginica']] ,
- [[6.7, 3.1, 5.6, 2.4], [1], ['Iris-virginica']] ,
- [[6.9, 3.1, 5.1, 2.3], [1], ['Iris-virginica']] ,
- [[5.8, 2.7, 5.1, 1.9], [1], ['Iris-virginica']] ,
- [[6.8, 3.2, 5.9, 2.3], [1], ['Iris-virginica']] ,
- [[6.7, 3.3, 5.7, 2.5], [1], ['Iris-virginica']] ,
- [[6.7, 3.0, 5.2, 2.3], [1], ['Iris-virginica']] ,
- [[6.3, 2.5, 5.0, 1.9], [1], ['Iris-virginica']] ,
- [[6.5, 3.0, 5.2, 2.0], [1], ['Iris-virginica']] ,
- [[6.2, 3.4, 5.4, 2.3], [1], ['Iris-virginica']] ,
- [[5.9, 3.0, 5.1, 1.8], [1], ['Iris-virginica']]
- ]
- testpat = [
- [[5.1, 3.5, 1.4, 0.2], [-1], ['Iris-setosa']] ,
- [[4.9, 3.0, 1.4, 0.2], [-1], ['Iris-setosa']] ,
- [[4.7, 3.2, 1.3, 0.2], [-1], ['Iris-setosa']] ,
- [[5.4, 3.9, 1.7, 0.4], [-1], ['Iris-setosa']] ,
- [[4.6, 3.4, 1.4, 0.3], [-1], ['Iris-setosa']] ,
- [[5.0, 3.4, 1.5, 0.2], [-1], ['Iris-setosa']] ,
- [[4.4, 2.9, 1.4, 0.2], [-1], ['Iris-setosa']] ,
- [[4.9, 3.1, 1.5, 0.1], [-1], ['Iris-setosa']] ,
- [[5.4, 3.7, 1.5, 0.2], [-1], ['Iris-setosa']] ,
- [[4.8, 3.4, 1.6, 0.2], [-1], ['Iris-setosa']] ,
- [[4.8, 3.0, 1.4, 0.1], [-1], ['Iris-setosa']] ,
- [[4.3, 3.0, 1.1, 0.1], [-1], ['Iris-setosa']] ,
- [[5.8, 4.0, 1.2, 0.2], [-1], ['Iris-setosa']] ,
- [[5.7, 4.4, 1.5, 0.4], [-1], ['Iris-setosa']] ,
- [[5.4, 3.9, 1.3, 0.4], [-1], ['Iris-setosa']] ,
- [[5.1, 3.5, 1.4, 0.3], [-1], ['Iris-setosa']] ,
- [[5.7, 3.8, 1.7, 0.3], [-1], ['Iris-setosa']] ,
- [[5.1, 3.8, 1.5, 0.3], [-1], ['Iris-setosa']] ,
- [[5.4, 3.4, 1.7, 0.2], [-1], ['Iris-setosa']] ,
- [[5.1, 3.7, 1.5, 0.4], [-1], ['Iris-setosa']] ,
- [[4.6, 3.6, 1.0, 0.2], [-1], ['Iris-setosa']] ,
- [[5.1, 3.3, 1.7, 0.5], [-1], ['Iris-setosa']] ,
- [[4.8, 3.4, 1.9, 0.2], [-1], ['Iris-setosa']] ,
- [[5.0, 3.0, 1.6, 0.2], [-1], ['Iris-setosa']] ,
- [[5.0, 3.4, 1.6, 0.4], [-1], ['Iris-setosa']] ,
- [[5.2, 3.5, 1.5, 0.2], [-1], ['Iris-setosa']] ,
- [[5.2, 3.4, 1.4, 0.2], [-1], ['Iris-setosa']] ,
- [[4.7, 3.2, 1.6, 0.2], [-1], ['Iris-setosa']] ,
- [[4.8, 3.1, 1.6, 0.2], [-1], ['Iris-setosa']] ,
- [[5.4, 3.4, 1.5, 0.4], [-1], ['Iris-setosa']] ,
- [[5.2, 4.1, 1.5, 0.1], [-1], ['Iris-setosa']] ,
- [[5.5, 4.2, 1.4, 0.2], [-1], ['Iris-setosa']] ,
- [[4.9, 3.1, 1.5, 0.1], [-1], ['Iris-setosa']] ,
- [[5.0, 3.2, 1.2, 0.2], [-1], ['Iris-setosa']] ,
- [[5.5, 3.5, 1.3, 0.2], [-1], ['Iris-setosa']] ,
- [[4.9, 3.1, 1.5, 0.1], [-1], ['Iris-setosa']] ,
- [[4.4, 3.0, 1.3, 0.2], [-1], ['Iris-setosa']] ,
- [[5.1, 3.4, 1.5, 0.2], [-1], ['Iris-setosa']] ,
- [[5.0, 3.5, 1.3, 0.3], [-1], ['Iris-setosa']] ,
- [[4.5, 2.3, 1.3, 0.3], [-1], ['Iris-setosa']] ,
- [[4.4, 3.2, 1.3, 0.2], [-1], ['Iris-setosa']] ,
- [[5.0, 3.5, 1.6, 0.6], [-1], ['Iris-setosa']] ,
- [[5.1, 3.8, 1.9, 0.4], [-1], ['Iris-setosa']] ,
- [[4.8, 3.0, 1.4, 0.3], [-1], ['Iris-setosa']] ,
- [[5.1, 3.8, 1.6, 0.2], [-1], ['Iris-setosa']] ,
- [[4.6, 3.2, 1.4, 0.2], [-1], ['Iris-setosa']] ,
- [[5.3, 3.7, 1.5, 0.2], [-1], ['Iris-setosa']] ,
- [[5.0, 3.3, 1.4, 0.2], [-1], ['Iris-setosa']] ,
- [[7.0, 3.2, 4.7, 1.4], [0], ['Iris-versicolor']] ,
- [[6.4, 3.2, 4.5, 1.5], [0], ['Iris-versicolor']] ,
- [[6.9, 3.1, 4.9, 1.5], [0], ['Iris-versicolor']] ,
- [[5.5, 2.3, 4.0, 1.3], [0], ['Iris-versicolor']] ,
- [[6.5, 2.8, 4.6, 1.5], [0], ['Iris-versicolor']] ,
- [[5.7, 2.8, 4.5, 1.3], [0], ['Iris-versicolor']] ,
- [[6.3, 3.3, 4.7, 1.6], [0], ['Iris-versicolor']] ,
- [[4.9, 2.4, 3.3, 1.0], [0], ['Iris-versicolor']] ,
- [[6.6, 2.9, 4.6, 1.3], [0], ['Iris-versicolor']] ,
- [[5.2, 2.7, 3.9, 1.4], [0], ['Iris-versicolor']] ,
- [[5.0, 2.0, 3.5, 1.0], [0], ['Iris-versicolor']] ,
- [[5.9, 3.0, 4.2, 1.5], [0], ['Iris-versicolor']] ,
- [[6.0, 2.2, 4.0, 1.0], [0], ['Iris-versicolor']] ,
- [[6.1, 2.9, 4.7, 1.4], [0], ['Iris-versicolor']] ,
- [[5.6, 2.9, 3.6, 1.3], [0], ['Iris-versicolor']] ,
- [[6.7, 3.1, 4.4, 1.4], [0], ['Iris-versicolor']] ,
- [[5.6, 3.0, 4.5, 1.5], [0], ['Iris-versicolor']] ,
- [[5.8, 2.7, 4.1, 1.0], [0], ['Iris-versicolor']] ,
- [[6.2, 2.2, 4.5, 1.5], [0], ['Iris-versicolor']] ,
- [[5.6, 2.5, 3.9, 1.1], [0], ['Iris-versicolor']] ,
- [[5.9, 3.2, 4.8, 1.8], [0], ['Iris-versicolor']] ,
- [[6.1, 2.8, 4.0, 1.3], [0], ['Iris-versicolor']] ,
- [[6.3, 2.5, 4.9, 1.5], [0], ['Iris-versicolor']] ,
- [[6.1, 2.8, 4.7, 1.2], [0], ['Iris-versicolor']] ,
- [[6.4, 2.9, 4.3, 1.3], [0], ['Iris-versicolor']] ,
- [[6.6, 3.0, 4.4, 1.4], [0], ['Iris-versicolor']] ,
- [[6.8, 2.8, 4.8, 1.4], [0], ['Iris-versicolor']] ,
- [[6.7, 3.0, 5.0, 1.7], [0], ['Iris-versicolor']] ,
- [[6.0, 2.9, 4.5, 1.5], [0], ['Iris-versicolor']] ,
- [[5.7, 2.6, 3.5, 1.0], [0], ['Iris-versicolor']] ,
- [[5.5, 2.4, 3.8, 1.1], [0], ['Iris-versicolor']] ,
- [[5.5, 2.4, 3.7, 1.0], [0], ['Iris-versicolor']] ,
- [[5.8, 2.7, 3.9, 1.2], [0], ['Iris-versicolor']] ,
- [[6.0, 2.7, 5.1, 1.6], [0], ['Iris-versicolor']] ,
- [[5.4, 3.0, 4.5, 1.5], [0], ['Iris-versicolor']] ,
- [[6.0, 3.4, 4.5, 1.6], [0], ['Iris-versicolor']] ,
- [[6.7, 3.1, 4.7, 1.5], [0], ['Iris-versicolor']] ,
- [[6.3, 2.3, 4.4, 1.3], [0], ['Iris-versicolor']] ,
- [[5.6, 3.0, 4.1, 1.3], [0], ['Iris-versicolor']] ,
- [[6.1, 3.0, 4.6, 1.4], [0], ['Iris-versicolor']] ,
- [[5.8, 2.6, 4.0, 1.2], [0], ['Iris-versicolor']] ,
- [[5.0, 2.3, 3.3, 1.0], [0], ['Iris-versicolor']] ,
- [[5.6, 2.7, 4.2, 1.3], [0], ['Iris-versicolor']] ,
- [[5.7, 3.0, 4.2, 1.2], [0], ['Iris-versicolor']] ,
- [[5.7, 2.9, 4.2, 1.3], [0], ['Iris-versicolor']] ,
- [[6.2, 2.9, 4.3, 1.3], [0], ['Iris-versicolor']] ,
- [[5.1, 2.5, 3.0, 1.1], [0], ['Iris-versicolor']] ,
- [[5.7, 2.8, 4.1, 1.3], [0], ['Iris-versicolor']] ,
- [[6.3, 3.3, 6.0, 2.5], [1], ['Iris-virginica']] ,
- [[5.8, 2.7, 5.1, 1.9], [1], ['Iris-virginica']] ,
- [[7.1, 3.0, 5.9, 2.1], [1], ['Iris-virginica']] ,
- [[6.3, 2.9, 5.6, 1.8], [1], ['Iris-virginica']] ,
- [[6.5, 3.0, 5.8, 2.2], [1], ['Iris-virginica']] ,
- [[7.6, 3.0, 6.6, 2.1], [1], ['Iris-virginica']] ,
- [[4.9, 2.5, 4.5, 1.7], [1], ['Iris-virginica']] ,
- [[7.3, 2.9, 6.3, 1.8], [1], ['Iris-virginica']] ,
- [[6.7, 2.5, 5.8, 1.8], [1], ['Iris-virginica']] ,
- [[7.2, 3.6, 6.1, 2.5], [1], ['Iris-virginica']] ,
- [[6.5, 3.2, 5.1, 2.0], [1], ['Iris-virginica']] ,
- [[6.4, 2.7, 5.3, 1.9], [1], ['Iris-virginica']] ,
- [[6.8, 3.0, 5.5, 2.1], [1], ['Iris-virginica']] ,
- [[5.7, 2.5, 5.0, 2.0], [1], ['Iris-virginica']] ,
- [[5.8, 2.8, 5.1, 2.4], [1], ['Iris-virginica']] ,
- [[7.7, 3.8, 6.7, 2.2], [1], ['Iris-virginica']] ,
- [[7.7, 2.6, 6.9, 2.3], [1], ['Iris-virginica']] ,
- [[6.0, 2.2, 5.0, 1.5], [1], ['Iris-virginica']] ,
- [[6.9, 3.2, 5.7, 2.3], [1], ['Iris-virginica']] ,
- [[5.6, 2.8, 4.9, 2.0], [1], ['Iris-virginica']] ,
- [[7.7, 2.8, 6.7, 2.0], [1], ['Iris-virginica']] ,
- [[6.3, 2.7, 4.9, 1.8], [1], ['Iris-virginica']] ,
- [[6.7, 3.3, 5.7, 2.1], [1], ['Iris-virginica']] ,
- [[7.2, 3.2, 6.0, 1.8], [1], ['Iris-virginica']] ,
- [[6.2, 2.8, 4.8, 1.8], [1], ['Iris-virginica']] ,
- [[6.1, 3.0, 4.9, 1.8], [1], ['Iris-virginica']] ,
- [[6.4, 2.8, 5.6, 2.1], [1], ['Iris-virginica']] ,
- [[7.2, 3.0, 5.8, 1.6], [1], ['Iris-virginica']] ,
- [[7.4, 2.8, 6.1, 1.9], [1], ['Iris-virginica']] ,
- [[7.9, 3.8, 6.4, 2.0], [1], ['Iris-virginica']] ,
- [[6.4, 2.8, 5.6, 2.2], [1], ['Iris-virginica']] ,
- [[6.3, 2.8, 5.1, 1.5], [1], ['Iris-virginica']] ,
- [[6.1, 2.6, 5.6, 1.4], [1], ['Iris-virginica']] ,
- [[7.7, 3.0, 6.1, 2.3], [1], ['Iris-virginica']] ,
- [[6.3, 3.4, 5.6, 2.4], [1], ['Iris-virginica']] ,
- [[6.4, 3.1, 5.5, 1.8], [1], ['Iris-virginica']] ,
- [[6.0, 3.0, 4.8, 1.8], [1], ['Iris-virginica']] ,
- [[6.9, 3.1, 5.4, 2.1], [1], ['Iris-virginica']] ,
- [[6.7, 3.1, 5.6, 2.4], [1], ['Iris-virginica']] ,
- [[6.9, 3.1, 5.1, 2.3], [1], ['Iris-virginica']] ,
- [[5.8, 2.7, 5.1, 1.9], [1], ['Iris-virginica']] ,
- [[6.8, 3.2, 5.9, 2.3], [1], ['Iris-virginica']] ,
- [[6.7, 3.3, 5.7, 2.5], [1], ['Iris-virginica']] ,
- [[6.7, 3.0, 5.2, 2.3], [1], ['Iris-virginica']] ,
- [[6.3, 2.5, 5.0, 1.9], [1], ['Iris-virginica']] ,
- [[6.5, 3.0, 5.2, 2.0], [1], ['Iris-virginica']] ,
- [[6.2, 3.4, 5.4, 2.3], [1], ['Iris-virginica']] ,
- [[5.9, 3.0, 5.1, 1.8], [1], ['Iris-virginica']]
- ]
来源: http://www.phpxs.com/code/1004858/