view code_tutoriel/test.py @ 269:4533350d7361

Ajout d'une fonctionnalite pour pouvoir definir un range de fichiers d'entrainement de P07 utilises. Utile pour pre-entrainer et fine-tuner avec des donnees differentes
author SylvainPL <sylvain.pannetier.lebeuf@umontreal.ca>
date Sat, 20 Mar 2010 10:19:11 -0400
parents 4bc5eeec6394
children
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#import convolutional_mlp, dbn, logistic_cg, logistic_sgd, mlp, rbm, SdA_loops, SdA
import convolutional_mlp, logistic_cg, logistic_sgd, mlp, SdA
from nose.plugins.skip import SkipTest
#TODO: dbn, rbm, SdA, SdA_loops, convolutional_mlp
def test_logistic_sgd():
    logistic_sgd.sgd_optimization_mnist(n_epochs=10)
def test_logistic_cg():
    logistic_cg.cg_optimization_mnist(n_epochs=10)
def test_mlp():
    mlp.test_mlp(n_epochs=5)
def test_convolutional_mlp():
    convolutional_mlp.evaluate_lenet5(n_epochs=5,nkerns=[5,5])
def test_dbn():
    raise SkipTest('Implementation not finished')
def test_rbm():
    raise SkipTest('Implementation not finished')
def test_SdA():
    SdA.test_SdA(pretraining_epochs = 2, training_epochs = 3)