def algConfig(self):
s = spec.ALGORITHM_NONE
#s["num_iter"] = [10000]
#s["alpha"] = [0.99]
#s["mu"] = [99]
#s["p"] = [2]
return P(s)
def generalConfig(self):
s = spec.GENERAL_DEFAULT
if "SecStr" in self.ds or "SecStrExtra" in self.ds:
s['id'] = list(range(10))
else:
s['id'] = list(range(12))
return P(s)
def algConfig(self):
if self.alg=="D":
s =spec.ALGORITHM_LGCLOO_DEFAULT
s["optimize_labels"] = [False]
s["custom_conv"] = [False]
s['p'] = [1500 if self.ds == 'isolet' else 50]
return P(s)
s = spec.ALGORITHM_SIIS_DEFAULT
s['m'] = [100]
#s['mu'] = [(1-0.9)/0.9]
#s['alpha'] = [0.9]
#s['num_iter'] = [1000.0]
def alpha_to_mu(alpha):
return (1-alpha)/alpha
#s["num_iter"] = [1000]
return P(s)
def inputConfig(self):
#s = spec.INPUT_CHAPELLE_A
#s = spec.INPUT_SPIRALS_DYNAMIC
#s["dataset"] = ["Digit1","COIL2"]
#s["labeled_percent"] = [0.1,0.01]
s = spec.INPUT_MNIST
s["labeled_percent"] = [100 / 70000]
return P(s)
def algConfig(self):
s = spec.ALGORITHM_GTAM_DEFAULT
s["use_estimated_freq"]=[True,False]
"""
s['max_iter'] = [200]
s['alpha'] = [1,10,100,1000]
s['beta'] = [1,10,100,1000]
s['m'] = [200]
"""
return P(s)
def filterConfig(self):
def alpha_to_mu(alpha):
return (1-alpha)/alpha
if self.alg in ["L"]:
s = spec.FILTER_LGC_LVO_AUTO
s['LGC_iter'] = [1000]
else:
s = spec.FILTER_NOFILTER
return P(s)
def algConfig(self):
s = spec.ALGORITHM_NN_CIFAR10
s["NUM_EPOCHS"] = [150]
s["BATCH_SIZE"] = [100]
s["model_choice"] = ["conv_large"]
#s["num_iter"] = [10]
#s["alpha"] = [0.01]
#s["mu"] = [99]
#s["p"] = [2]
return P(s)
def inputConfig(self):
s = spec.INPUT_MNIST
s["labeled_percent"] = [0.3]
#s = spec.INPUT_SPIRALS_DYNAMIC
#s["dataset"] = ["COIL2"]
#s["labeled_percent"] = [0.1]
#s = spec.INPUT_MNIST
#s["labeled_percent"] = [50/70000]
return P(s)
def inputConfig(self):
if self.ds == 'mnist':
s = spec.INPUT_MNIST
s['labeled_percent'] = [100/70000]
elif self.ds=="isolet":
s = spec.INPUT_ISOLET
else:
s = spec.INPUT_CHAPELLE_A
s["use_chapelle_splits"] = [True]
s['num_labeled'] = [10]
s['benchmark'] = ['digit1']
return P(s)
def filterConfig(self):
return P({
"filter": ["LGC_LVO"],
"mu": [0.1111],
"constantProp": [False],
"early_stop": [True],
"useZ": [True],
"normalize_rows": [True],
"use_baseline": [False],
"tuning_iter": [0.0, 0.2, 0.4, 0.6, 0.8, 1.0, 1.2, 1.4],
"tuning_iter_as_pct": [True],
"relabel": [False],
})
def affmatConfig(self):
if self.ds == "g241c":
s = spec.AFFMAT_DEFAULT
s['k'] = [500]
elif self.ds=="mnist":
s = spec.AFFMAT_DEFAULT
s['k'] = [15]
elif self.ds == "isolet":
s = spec.AFFMAT_ISOLET
else:
s = spec.AFFMAT_DEFAULT
return P(s)
def algConfig(self):
#s = spec.ALGORITHM_GTAM_DEFAULT
#s["num_iter"] = [10000]
#s["alpha"] = [0.9]
#s["constantProp"] = [False]
#s["mu"] = [0.1111]
s = spec.ALGORITHM_SIIS_DEFAULT
s["alpha"] = [1000.0]
s["beta"] = [10.0]
s["m"] = [300]
s["max_iter"] = [500]
#s = spec.ALGORITHM_LGC_DEFAULT
#s["num_iter"] = [1000]
#s["alpha"] = [0.9]
#s["num_iter"] = [10000]
#s["p"] = [2]
return P(s)
def inputConfig(self):
s = spec.INPUT_CHAPELLE_A
s["benchmark"] = self.ds
s["use_chapelle_splits"] = [self.use_chapelle_splits]
s['num_labeled'] = [self.num_labeled]
return P(s)
def generalConfig(self):
return P(spec.GENERAL_DEFAULT)
def affmatConfig(self):
return P(spec.AFFMAT_CONSTANT)
def noiseConfig(self):
s = spec.NOISE_UNIFORM_DET_NONE
return P(s)
def generalConfig(self):
s = spec.GENERAL_DEFAULT
s['id'] = [4]
return P(s)
def filterConfig(self):
s = spec.FILTER_NOFILTER
return P(s)
def affmatConfig(self):
s = spec.AFFMAT_ISOLET
return P(s)
def affmatConfig(self):
s = spec.AFFMAT_DEFAULT
return P(s)
def filterConfig(self):
return P(spec.FILTER_LGC_LVO)
def generalConfig(self):
s = spec.GENERAL_DEFAULT
s["id"] = [2]
return P(s)
def algConfig(self):
s = spec.ALGORITHM_NONE
return P(s)
def affmatConfig(self):
s = spec.AFFMAT_DEFAULT
return P(s) + P(spec.AFFMAT_CONSTANT)
def inputConfig(self):
s = spec.INPUT_SPIRALS_DYNAMIC
return P(s)
def inputConfig(self):
return P(spec.INPUT_ISOLET)
def noiseConfig(self):
s = spec.NOISE_UNIFORM_DET_MODERATE
s["corruption_level"] = [0.2]
return P(s)
def filterConfig(self):
return P(spec.FILTER_NOFILTER)
""""P({
def algConfig(self):
s = spec.ALGORITHM_LGC_DEFAULT
return P(s)
def noiseConfig(self):
s = spec.NOISE_UNIFORM_DET_SOME
s["corruption_level"] = [0.0, 0.2, 0.4, 0.6]
return P(s)
