def testRSENFailsIfNonBinaryMatrixSentIn(self):
self.train_features[0][0] = 2
error = ""
try:
model = RandomSubsetElasticNet(1, 2, self.binary_feature_indices)
model.fit(self.train_features, self.train_results)
except ValueError as valueError:
error = SafeCastUtil.safeCast(valueError, str)
assert "Non-binary feature" in error
def train(self, results, features, hyperparams, feature_names):
binary_feature_indices = self.fetchBinaryFeatureIndices(feature_names)
model = RandomSubsetElasticNet(
hyperparams.get(self.ALPHA),
hyperparams.get(self.L_ONE_RATIO),
binary_feature_indices,
p=self.p_val,
explicit_phrases=self.determineExplicitPhrases(hyperparams))
model.fit(features, results)
self.log.debug(
"Successful creation of Random Subset Elastic Net model: %s\n",
model)
return model
def trainModelWithExplicitNumberOfPhrases(self, phrase_count, at_least):
num_phrases = 0
model = None
explicit_count = 0
if not at_least:
explicit_count = phrase_count
while (not at_least and num_phrases != phrase_count) or (at_least and num_phrases < phrase_count):
model = RandomSubsetElasticNet(1, 0.5, self.binary_feature_indices, upper_bound=0.5, lower_bound=0, p=0,
explicit_model_count=(explicit_count - 1))
model.fit(self.train_features, self.train_results)
num_phrases = len(model.models_by_phrase)
[self.assertScore(model_phrase) for model_phrase in model.models_by_phrase if model_phrase.phrase.value is not None]
return model
def assertInvalidParams(self, binary_feature_indices, alpha=1, l_one_ratio=2, upper_bound=0.5, lower_bound=0.1, p=0,
explicit_model_count=-1, max_boolean_generation_attempts=10,
default_coverage_threshold=0.8, explicit_phrases=None):
error = ""
try:
RandomSubsetElasticNet(alpha, l_one_ratio, binary_feature_indices, upper_bound=upper_bound,
lower_bound=lower_bound, p=p, explicit_model_count=explicit_model_count,
max_boolean_generation_attempts=max_boolean_generation_attempts,
coverage_threshold=default_coverage_threshold, explicit_phrases=explicit_phrases)
except AttributeError as attributeError:
error = SafeCastUtil.safeCast(attributeError, str)
assert "invalid parameters" in error