def quickDemo():
trials = 5000
X, y = cl.makeData(train)
index = rn.sample(range(0, 39739), trials)
smallX = np.empty((trials, len(X[0])))
smally = np.empty(trials, dtype='|S30')
count = 0
for i in index:
smallX[count] = X[i]
smally[count] = y[i]
count = count + 1
start = time.time()
cl.SVM(smallX, smally)
print((time.time() - start) / 5)
start = time.time()
cl.NearestNeighbor(smallX, smally)
print((time.time() - start) / 5)
start = time.time()
cl.MLP(smallX, smally)
print((time.time() - start) / 5)
def runFullTests():
X, y = cl.makeData(train)
cl.SVM(X, y)
cl.NearestNeighbor(X, y)
cl.MLP(X, y)
import Data
import Classifiers
samples = 5000
noise = 25
trainingData, trainingLabels, testData, testLabels = Data.createData(
samples, noise)
Classifiers.MLP(trainingData, trainingLabels, testData, testLabels)
Classifiers.radialBF(trainingData, trainingLabels, testData, testLabels)
Classifiers.SVM(trainingData, trainingLabels, testData, testLabels)
Classifiers.RF(trainingData, trainingLabels, testData, testLabels)
