def test_discretizer(self):
reader_gen = DataInMemory(data=self.generated_data)
# check if exception safe
api.discretizer(reader_gen)._chain[-1].get_output()
api.discretizer(reader_gen, transform=api.tica())._chain[-1].get_output()
api.discretizer(reader_gen, cluster=api.cluster_uniform_time())._chain[-1].get_output()
api.discretizer(reader_gen, transform=api.pca(), cluster=api.cluster_regspace(dmin=10))._chain[-1].get_output()
def test_with_pipeline_time_lagged(self):
reader = api.source(self.trajfile, top=self.topfile)
assert isinstance(reader, FeatureReader)
t = tica(dim=2, lag=1)
d = discretizer(reader, t, chunksize=10)
d.parametrize()
def test_with_pipeline_time_lagged(self):
reader = feature_reader(self.trajfile, self.topfile)
#reader.featurizer.distances([[0, 1], [0, 2]])
t = tica(dim=2, lag=1)
d = discretizer(reader, t)
d.parametrize()
def test_with_pipeline_time_lagged(self):
reader = feature_reader(self.trajfile, self.topfile)
#reader.featurizer.distances([[0, 1], [0, 2]])
t = tica(dim=2, lag=1)
d = discretizer(reader, t)
d.parametrize()