test Package

test_annotations Module

class pyanno.test.test_annotations.TestAnnotations(methodName='runTest')

Bases: unittest.case.TestCase

test_from_array()

test_from_file_inconsistent_nannotators()

test_from_file_numerical_labels()

test_from_file_string_labels()

test_from_file_with_commas()

test_measures Module

class pyanno.test.test_measures.Bunch(**kwargs)

Bases: object

class pyanno.test.test_measures.TestMeasures(methodName='runTest')

Bases: unittest.case.TestCase

setUp()

Define fixtures.

test_all_invalid()

test_chance_agreement_different_frequency()

test_chance_agreement_same_frequency()

test_cohens_kappa()

test_cohens_kappa2()

test_cohens_weighted_kappa()

test_cohens_weighted_kappa2()

test_coincidence_matrix()

test_confusion_matrix()

test_confusion_matrix_missing()

Test confusion matrix with missing data.

test_cronbachs_alpha()

test_cronbachs_alpha2()

test_fleiss_kappa()

test_fleiss_kappa_nannotations()

test_krippendorffs_alpha()

test_krippendorffs_alpha2()

test_matrix()

test_observed_agreement()

test_pearsons_rho()

test_scotts_pi()

test_spearmans_rho()

test_modelA Module

class pyanno.test.test_modelA.TestModelA(methodName='runTest')

Bases: unittest.case.TestCase

test_annotations_compatibility()

test_fix_map_nans()

test_generate_agreement()

test_generate_annotations()

test_generate_incorrectness()

test_generate_triplet_annotation()

test_inference()

test_log_likelihood()

test_map_estimation()

test_ml_estimation()

test_raise_error_on_incompatible_annotation()

test_sampling_theta()

test_modelB Module

class pyanno.test.test_modelB.TestModelB(methodName='runTest')

Bases: unittest.case.TestCase

test_annotations_compatibility()

test_fix_map_nans()

test_generate_annotations()

test_generate_samples()

test_inference()

test_log_likelihood()

test_map_estimation()

test_map_stability()

test_missing_annotations()

test_mle_estimation()

test_raise_error_on_incompatible_annotation()

test_random_model()

test_sampling_theta()

pyanno.test.test_modelB.assert_is_dirichlet(samples, alpha)

Checks that samples ‘samples’ are drawn from Dirichlet(alpha).

pyanno.test.test_modelB.assert_is_distributions(distr, axis=0)

Check that input array represents a collection of distributions.

test_modelBt Module

class pyanno.test.test_modelBt.TestModelBt(methodName='runTest')

Bases: unittest.case.TestCase

test_annotations_compatibility()

test_create_model()

test_generate_annotations()

test_inference()

test_log_likelihood()

test_log_likelihood_loop_design()

test_map_estimation()

test_missing_annotations()

test_mle_estimation()

test_raise_error_on_incompatible_annotation()

test_sampling_theta()

test_sampling Module

class pyanno.test.test_sampling.TestSampling(methodName='runTest')

Bases: unittest.case.TestCase

test_sample_distribution()

test_util Module

class pyanno.test.test_util.TestUtil(methodName='runTest')

Bases: unittest.case.TestCase

test_labels_count()

test_labels_frequency()

test_majority_vote()

test_random_categorical()