Index

A | B | C | D | F | G | I | K | L | M | N | O | P | R | S | T | V

A

AbstractModel (class in pyanno.abstract_model)
all_invalid() (in module pyanno.measures.helpers)
anno_container (pyanno.database.PyannoResult attribute)
annotations (pyanno.annotations.AnnotationsContainer attribute)
AnnotationsContainer (class in pyanno.annotations)
annotator_accuracy() (pyanno.modelB.ModelB method)
annotator_accuracy_samples() (pyanno.modelB.ModelB method)
are_annotations_compatible() (pyanno.abstract_model.AbstractModel method)
(pyanno.modelA.ModelA method)
(pyanno.modelBt_loopdesign.ModelBtLoopDesign method)
assert_is_dirichlet() (in module pyanno.test.test_modelB)
assert_is_distributions() (in module pyanno.test.test_modelB)

B

benchmark (class in pyanno.util)
binary_distance() (in module pyanno.measures.distances)
Bunch (class in pyanno.test.test_measures)

C

chance_adjusted_agreement() (in module pyanno.measures.helpers)
chance_agreement_different_frequency() (in module pyanno.measures.helpers)
chance_agreement_same_frequency() (in module pyanno.measures.helpers)
close() (pyanno.database.PyannoDatabase method)
closed (pyanno.database.PyannoDatabase attribute)
cohens_kappa() (in module pyanno.measures.agreement)
cohens_weighted_kappa() (in module pyanno.measures.agreement)
coincidence_matrix() (in module pyanno.measures.helpers)
compute_counts() (in module pyanno.util)
compute_nclasses() (in module pyanno.measures.helpers)
confusion_matrix() (in module pyanno.measures.helpers)
create_band_matrix() (in module pyanno.util)
create_initial_state() (pyanno.abstract_model.AbstractModel static method)
(pyanno.modelA.ModelA static method)
(pyanno.modelB.ModelB static method)
(pyanno.modelBt.ModelBt static method)
(pyanno.modelBt_loopdesign.ModelBtLoopDesign static method)
cronbachs_alpha() (in module pyanno.measures.covariation)

D

database (pyanno.database.PyannoDatabase attribute)
default_alpha() (pyanno.modelB.ModelB static method)
default_beta() (pyanno.modelB.ModelB static method)
DEFAULT_MISSING_VALUES_ALL (pyanno.annotations.AnnotationsContainer attribute)
DEFAULT_MISSING_VALUES_NUM (pyanno.annotations.AnnotationsContainer attribute)
DEFAULT_MISSING_VALUES_STR (pyanno.annotations.AnnotationsContainer attribute)
diagonal_distance() (in module pyanno.measures.distances)
dirichlet_llhood() (in module pyanno.util)

F

fleiss_kappa() (in module pyanno.measures.agreement)
from_array() (pyanno.annotations.AnnotationsContainer static method)
from_file() (pyanno.annotations.AnnotationsContainer static method)

G

generate_annotations() (pyanno.abstract_model.AbstractModel method)
(pyanno.modelA.ModelA method)
(pyanno.modelB.ModelB method)
(pyanno.modelBt.ModelBt method)
(pyanno.modelBt_loopdesign.ModelBtLoopDesign method)
generate_annotations_from_labels() (pyanno.modelB.ModelB method)
(pyanno.modelBt.ModelBt method)
(pyanno.modelBt_loopdesign.ModelBtLoopDesign method)
generate_labels() (pyanno.modelB.ModelB method)
(pyanno.modelBt.ModelBt method)
(pyanno.modelBt_loopdesign.ModelBtLoopDesign method)
get_available_id() (pyanno.database.PyannoDatabase method)

I

infer_labels() (pyanno.abstract_model.AbstractModel method)
(pyanno.modelA.ModelA method)
(pyanno.modelB.ModelB method)
(pyanno.modelBt.ModelBt method)
(pyanno.modelBt_loopdesign.ModelBtLoopDesign method)
is_valid() (in module pyanno.util)

K

krippendorffs_alpha() (in module pyanno.measures.agreement)

L

labels (pyanno.annotations.AnnotationsContainer attribute)
labels_count() (in module pyanno.util)
labels_frequency() (in module pyanno.util)
load_annotations() (in module pyanno.annotations)
log_likelihood() (pyanno.abstract_model.AbstractModel method)
(pyanno.modelA.ModelA method)
(pyanno.modelB.ModelB method)
(pyanno.modelBt.ModelBt method)
(pyanno.modelBt_loopdesign.ModelBtLoopDesign method)

M

majority_vote() (in module pyanno.util)
map() (pyanno.abstract_model.AbstractModel method)
(pyanno.modelA.ModelA method)
(pyanno.modelB.ModelB method)
(pyanno.modelBt.ModelBt method)
(pyanno.modelBt_loopdesign.ModelBtLoopDesign method)
MISSING_VALUE (in module pyanno.util)
missing_values (pyanno.annotations.AnnotationsContainer attribute)
mle() (pyanno.abstract_model.AbstractModel method)
(pyanno.modelA.ModelA method)
(pyanno.modelB.ModelB method)
(pyanno.modelBt.ModelBt method)
(pyanno.modelBt_loopdesign.ModelBtLoopDesign method)
model (pyanno.database.PyannoResult attribute)
ModelA (class in pyanno.modelA)
ModelB (class in pyanno.modelB)
ModelBt (class in pyanno.modelBt)
ModelBtLoopDesign (class in pyanno.modelBt_loopdesign)

N

name (pyanno.annotations.AnnotationsContainer attribute)
nannotators (pyanno.annotations.AnnotationsContainer attribute)
nclasses (pyanno.annotations.AnnotationsContainer attribute)
ninf_to_num() (in module pyanno.util)
nitems (pyanno.annotations.AnnotationsContainer attribute)
normalize() (in module pyanno.util)

O

observed_agreement_frequency() (in module pyanno.measures.helpers)
optimize_step_size() (in module pyanno.sampling)

P

pairwise_matrix() (in module pyanno.measures.helpers)
pearsons_rho() (in module pyanno.measures.covariation)
plot_hinton_diagram() (in module pyanno.plots.hinton_plot)
plot_pairwise_statistics() (in module pyanno.plots.pyanno_plots)
plot_posterior() (in module pyanno.plots.annotations_plot)
plot_square_matrix() (in module pyanno.plots.matrix_plot)
plot_theta_parameters() (in module pyanno.plots.theta_plot)
plot_theta_tensor() (in module pyanno.plots.theta_tensor_plot)
pyanno (module)
pyanno.abstract_model (module)
pyanno.annotations (module)
pyanno.database (module)
pyanno.measures (module)
pyanno.measures.agreement (module)
pyanno.measures.covariation (module)
pyanno.measures.distances (module)
pyanno.measures.helpers (module)
pyanno.modelA (module)
pyanno.modelB (module)
pyanno.modelBt (module)
pyanno.modelBt_loopdesign (module)
pyanno.sampling (module)
pyanno.test.test_annotations (module)
pyanno.test.test_measures (module)
pyanno.test.test_modelA (module)
pyanno.test.test_modelB (module)
pyanno.test.test_modelBt (module)
pyanno.test.test_sampling (module)
pyanno.test.test_util (module)
pyanno.util (module)
PyannoDatabase (class in pyanno.database)
PyannoResult (class in pyanno.database)
PyannoValueError

R

random_categorical() (in module pyanno.util)
raw_annotations (pyanno.annotations.AnnotationsContainer attribute)
remove() (pyanno.database.PyannoDatabase method)
retrieve_id() (pyanno.database.PyannoDatabase method)

S

sample_distribution() (in module pyanno.sampling)
sample_from_proposal_distribution() (in module pyanno.sampling)
sample_posterior_over_accuracy() (pyanno.abstract_model.AbstractModel method)
(pyanno.modelA.ModelA method)
(pyanno.modelB.ModelB method)
(pyanno.modelBt.ModelBt method)
(pyanno.modelBt_loopdesign.ModelBtLoopDesign method)
save_to() (pyanno.annotations.AnnotationsContainer method)
scotts_pi() (in module pyanno.measures.agreement)
setUp() (pyanno.test.test_measures.TestMeasures method)
SMALLEST_FLOAT (in module pyanno.util)
spearmans_rho() (in module pyanno.measures.covariation)
store_result() (pyanno.database.PyannoDatabase method)
string_wrap() (in module pyanno.util)

T

test_all_invalid() (pyanno.test.test_measures.TestMeasures method)
test_annotations_compatibility() (pyanno.test.test_modelA.TestModelA method)
(pyanno.test.test_modelB.TestModelB method)
(pyanno.test.test_modelBt.TestModelBt method)
test_chance_agreement_different_frequency() (pyanno.test.test_measures.TestMeasures method)
test_chance_agreement_same_frequency() (pyanno.test.test_measures.TestMeasures method)
test_cohens_kappa() (pyanno.test.test_measures.TestMeasures method)
test_cohens_kappa2() (pyanno.test.test_measures.TestMeasures method)
test_cohens_weighted_kappa() (pyanno.test.test_measures.TestMeasures method)
test_cohens_weighted_kappa2() (pyanno.test.test_measures.TestMeasures method)
test_coincidence_matrix() (pyanno.test.test_measures.TestMeasures method)
test_confusion_matrix() (pyanno.test.test_measures.TestMeasures method)
test_confusion_matrix_missing() (pyanno.test.test_measures.TestMeasures method)
test_create_model() (pyanno.test.test_modelBt.TestModelBt method)
test_cronbachs_alpha() (pyanno.test.test_measures.TestMeasures method)
test_cronbachs_alpha2() (pyanno.test.test_measures.TestMeasures method)
test_fix_map_nans() (pyanno.test.test_modelA.TestModelA method)
(pyanno.test.test_modelB.TestModelB method)
test_fleiss_kappa() (pyanno.test.test_measures.TestMeasures method)
test_fleiss_kappa_nannotations() (pyanno.test.test_measures.TestMeasures method)
test_from_array() (pyanno.test.test_annotations.TestAnnotations method)
test_from_file_inconsistent_nannotators() (pyanno.test.test_annotations.TestAnnotations method)
test_from_file_numerical_labels() (pyanno.test.test_annotations.TestAnnotations method)
test_from_file_string_labels() (pyanno.test.test_annotations.TestAnnotations method)
test_from_file_with_commas() (pyanno.test.test_annotations.TestAnnotations method)
test_generate_agreement() (pyanno.test.test_modelA.TestModelA method)
test_generate_annotations() (pyanno.test.test_modelA.TestModelA method)
(pyanno.test.test_modelB.TestModelB method)
(pyanno.test.test_modelBt.TestModelBt method)
test_generate_incorrectness() (pyanno.test.test_modelA.TestModelA method)
test_generate_samples() (pyanno.test.test_modelB.TestModelB method)
test_generate_triplet_annotation() (pyanno.test.test_modelA.TestModelA method)
test_inference() (pyanno.test.test_modelA.TestModelA method)
(pyanno.test.test_modelB.TestModelB method)
(pyanno.test.test_modelBt.TestModelBt method)
test_krippendorffs_alpha() (pyanno.test.test_measures.TestMeasures method)
test_krippendorffs_alpha2() (pyanno.test.test_measures.TestMeasures method)
test_labels_count() (pyanno.test.test_util.TestUtil method)
test_labels_frequency() (pyanno.test.test_util.TestUtil method)
test_log_likelihood() (pyanno.test.test_modelA.TestModelA method)
(pyanno.test.test_modelB.TestModelB method)
(pyanno.test.test_modelBt.TestModelBt method)
test_log_likelihood_loop_design() (pyanno.test.test_modelBt.TestModelBt method)
test_majority_vote() (pyanno.test.test_util.TestUtil method)
test_map_estimation() (pyanno.test.test_modelA.TestModelA method)
(pyanno.test.test_modelB.TestModelB method)
(pyanno.test.test_modelBt.TestModelBt method)
test_map_stability() (pyanno.test.test_modelB.TestModelB method)
test_matrix() (pyanno.test.test_measures.TestMeasures method)
test_missing_annotations() (pyanno.test.test_modelB.TestModelB method)
(pyanno.test.test_modelBt.TestModelBt method)
test_ml_estimation() (pyanno.test.test_modelA.TestModelA method)
test_mle_estimation() (pyanno.test.test_modelB.TestModelB method)
(pyanno.test.test_modelBt.TestModelBt method)
test_observed_agreement() (pyanno.test.test_measures.TestMeasures method)
test_pearsons_rho() (pyanno.test.test_measures.TestMeasures method)
test_raise_error_on_incompatible_annotation() (pyanno.test.test_modelA.TestModelA method)
(pyanno.test.test_modelB.TestModelB method)
(pyanno.test.test_modelBt.TestModelBt method)
test_random_categorical() (pyanno.test.test_util.TestUtil method)
test_random_model() (pyanno.test.test_modelB.TestModelB method)
test_sample_distribution() (pyanno.test.test_sampling.TestSampling method)
test_sampling_theta() (pyanno.test.test_modelA.TestModelA method)
(pyanno.test.test_modelB.TestModelB method)
(pyanno.test.test_modelBt.TestModelBt method)
test_scotts_pi() (pyanno.test.test_measures.TestMeasures method)
test_spearmans_rho() (pyanno.test.test_measures.TestMeasures method)
TestAnnotations (class in pyanno.test.test_annotations)
TestMeasures (class in pyanno.test.test_measures)
TestModelA (class in pyanno.test.test_modelA)
TestModelB (class in pyanno.test.test_modelB)
TestModelBt (class in pyanno.test.test_modelBt)
TestSampling (class in pyanno.test.test_sampling)
TestUtil (class in pyanno.test.test_util)

V

value (pyanno.database.PyannoResult attribute)

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