def test_constructor(self):
jsonFile = 'testMl/auxFiles/test_paramFile.json'
if os.path.exists('output'):
shutil.rmtree('output')
self.myExperiment = basicExperiment.basicExperiment(jsonFile)
def setUp(self):
jsonFile = 'testMl/auxFiles/test_paramFile.json'
self.myExperiment = basicExperiment.basicExperiment(jsonFile)
self.myExperiment.initializeExperiment()
#!/usr/bin/env python from mlModel.experiments import basicExperiment # Meta parameters jsonFile = 'paramFile.json' # Run the experiment myExperiment = basicExperiment.basicExperiment(jsonFile) myExperiment.enableCheckpointing(500) myExperiment.initializeExperiment() myExperiment.runFullExperiment()
#!/usr/bin/env python
import numpy as np
import matplotlib.pyplot as plt
from mlModel.experiments import basicExperiment
# Meta parameters
jsonFile = 'paramFile.json'
# Run the experiment
instances = np.arange(100, 3100, 100)
classRatio = []
for instance in instances:
fileName = 'Checkpoint/checkpoint_iter{}.json'.format(instance)
myExperiment = basicExperiment.basicExperiment(jsonFile, overwriteOutput=True)
myExperiment.enableCheckpointing(5000)
#myExperiment.loadCheckpoint('Checkpoint/checkpoint_iter3000.json')
myExperiment.loadCheckpoint(fileName)
confMatrix = myExperiment.runTesting('threeDigitsMnist.txt')
classRatio.append(np.sum(confMatrix.diagonal())/np.sum(confMatrix).astype(np.float32))
print('The confusion matrix is:')
print(confMatrix)
del myExperiment
# plot the class ratio
f, ax = plt.subplots(1)
ax.plot(instances, classRatio)
ax.set_xlabel('# Iterations')
ax.set_ylabel('class ratio')
f.savefig('Output/classRatio.png')