def model_complexity_exp2(self):
#TODO should we create a new learner object??
self.learner = SVMLearner(kernel='linear', C=0.2)
self.expHelper = ExperimentHelper(self.splitter, self.learner,
'linear4', 'Linear Kernel')
param_range = np.array([1, 2, 4, 5, 6, 7, 8])
self.expHelper.model_complexity_exp('gamma', param_range)
self.learner = SVMLearner(kernel='linear', C=0.2)
self.expHelper = ExperimentHelper(self.splitter, self.learner,
'linear5', 'Linear Kernel')
param_range = np.array([0.1, 0.2, 0.4, 0.5, 0.6, 0.7, 0.8])
self.expHelper.model_complexity_exp('gamma', param_range)
def model_complexity_exp3(self):
#TODO should we create a new learner object??
self.learner = SVMLearner(kernel='sigmoid')
self.expHelper = ExperimentHelper(self.splitter, self.learner,
'sigmoid', 'Sigmoid Kernel')
#param_range = np.array([0.05, 0.1, 0.2, 0.3, 0.4, 0.5])
#self.expHelper.model_complexity_exp('C', param_range)
param_range = np.array([0.01, 0.03, 0.05, 0.07, 0.09])
self.expHelper.model_complexity_exp('gamma', param_range)
def model_complexity_exp6(self):
#TODO should we create a new learner object??
#self.learner = SVMLearner(kernel = 'rbf', C =0.1)
self.learner = SVMLearner(kernel='rbf', C=0.5)
self.expHelper = ExperimentHelper(self.splitter, self.learner, 'rbf8',
'rbf Kernel')
#param_range = np.array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7])
#param_range = np.array([0.5,2, 3, 4, 5, 6])
param_range = np.array([0.01, 0.03, 0.05, 0.07, 0.09])
self.expHelper.model_complexity_exp('gamma', param_range)
self.learner = SVMLearner(kernel='rbf', C=0.5)
self.expHelper = ExperimentHelper(self.splitter, self.learner, 'rbf9',
'rbf Kernel')
param_range = np.array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7])
#param_range = np.array([0.5,2, 3, 4, 5, 6])
#param_range = np.array([0.01, 0.03, 0.05, 0.07, 0.09])
self.expHelper.model_complexity_exp('gamma', param_range)
"""self.learner = SVMLearner(kernel = 'rbf', C =0.2)
def model_complexity_exp44(self):
#TODO should we create a new learner object??
self.learner = SVMLearner(kernel='linear')
self.expHelper = ExperimentHelper(self.splitter, self.learner,
'linear1', 'Linear Kernel')
#param_range = np.array([0.5, 1, 1.5, 2])
#param_range = np.array([2, 3, 4, 5, 6, 9, 12])
param_range = np.array([0.1, 0.2, 0.3, 0.4, 0.5, 0.7, 0.8, 0.9, 1])
self.expHelper.model_complexity_exp('C', param_range)
"""self.learner = SVMLearner(kernel = 'linear')
def model_complexity_exp4(self):
#TODO should we create a new learner object??
self.learner = SVMLearner(kernel='linear')
self.expHelper = ExperimentHelper(self.splitter, self.learner,
'linear3', 'Linear Kernel')
#param_range = np.array([0.5, 1, 1.5, 2])
#param_range = np.array([2, 3, 4, 5, 6, 9, 12])
#param_range = np.array([0.01, 0.02, 0.03, 0.043, 0.05, 0.06])
param_range = np.array([0.0001, 0.0005, 0.0008, 0.001, 0.005, 0.008])
self.expHelper.model_complexity_exp('C', param_range)
def model_complexity_exp5(self):
#TODO should we create a new learner object??
self.learner = SVMLearner(kernel='rbf')
self.expHelper = ExperimentHelper(self.splitter, self.learner, 'rbf1',
'rbf Kernel')
param_range = np.array([0.05, 0.1, 0.2, 0.3, 0.4, 0.5])
self.expHelper.model_complexity_exp('C', param_range)
self.learner = SVMLearner(kernel='rbf')
self.expHelper = ExperimentHelper(self.splitter, self.learner, 'rbf2',
'rbf Kernel')
param_range = np.array([0.5, 1, 1.5, 2])
self.expHelper.model_complexity_exp('C', param_range)
self.learner = SVMLearner(kernel='rbf')
self.expHelper = ExperimentHelper(self.splitter, self.learner, 'rbf3',
'rbf Kernel')
param_range = np.array([2, 3, 4, 5, 6, 9, 12])
self.expHelper.model_complexity_exp('C', param_range)
def __init__(self, reader, helper, splitter):
self.reader = reader
self.helper = helper
self.learner = SVMLearner()
self.splitter = splitter
self.expHelper = ExperimentHelper(self.splitter, self.learner)
def model_complexity_exp1(self):
#TODO should we create a new learner object??
self.learner = SVMLearner()
self.expHelper = ExperimentHelper(self.splitter, self.learner, 'rbf')
param_range = np.array([2, 4, 6, 8])
self.expHelper.model_complexity_exp('degree', param_range)
def experiment_run_test_bank(self):
self.learner = SVMLearner(gamma=0.03, C=0.2, kernel='rbf')
self.expHelper = ExperimentHelper(self.splitter, self.learner)
self.expHelper.experiment_run_test()
def learning_curve_iter2_bank(self):
self.learner = SVMLearner(gamma=0.03, C=0.2, kernel='rbf')
self.expHelper = ExperimentHelper(self.splitter, self.learner,
'-iter-2')
self.expHelper.learning_curve_exp()
