Index

A

all_registered() (Registry method), [1]

B

Backend (class in learning_machines_drift.backends)

backend (Registry attribute), [1] BaselineSummary (class in learning_machines_drift.types)

C

clear_logged_dataset() (Backend method) (FileBackend method), [1] clear_reference_dataset() (Backend method) (FileBackend method), [1]

Comparison (class in learning_machines_drift.filter) comparison (Condition attribute) Condition (class in learning_machines_drift.filter) conditions (Filter attribute), [1]

D

Dataset (class in learning_machines_drift) (class in learning_machines_drift.types)

Display (class in learning_machines_drift) (class in learning_machines_drift.display)

E

EQUAL (Comparison attribute) example_dataset() (in module learning_machines_drift.datasets)

expect_features (Registry attribute), [1] expect_labels (Registry attribute), [1] expect_latent (Registry attribute), [1]

F

feature_names (Dataset property), [1] features (Dataset attribute), [1] (ShapeSummary attribute) FeatureSummary (class in learning_machines_drift.types)

FileBackend (class in learning_machines_drift) (class in learning_machines_drift.backends) Filter (class in learning_machines_drift) (class in learning_machines_drift.filter)

G

get_boundary_adherence() (Metrics method) get_identifier() (in module learning_machines_drift.backends)

get_range_coverage() (Metrics method) GREATER (Comparison attribute)

I

identifier (Registry property), [1]

L

labels (Dataset attribute), [1] (ShapeSummary attribute) LabelSummary (class in learning_machines_drift.types) latents (Dataset attribute), [1] (ShapeSummary attribute) LatentSummary (class in learning_machines_drift.types) learning_machines_drift module learning_machines_drift.backends module learning_machines_drift.datasets module learning_machines_drift.display module learning_machines_drift.exceptions module learning_machines_drift.filter module learning_machines_drift.metrics module

learning_machines_drift.monitor module learning_machines_drift.registry module learning_machines_drift.types module LESS (Comparison attribute) load_data() (Monitor method), [1] load_logged_dataset() (Backend method) (FileBackend method), [1] load_reference_dataset() (Backend method) (FileBackend method), [1] log_dataset() (Registry method), [1] log_features() (Registry method), [1] log_labels() (Registry method), [1] log_latents() (Registry method), [1] logistic_detection() (Metrics method) logistic_model() (in module learning_machines_drift.datasets)

M

method_name (StructuredResult attribute), [1] Metrics (class in learning_machines_drift.metrics) metrics (Monitor property), [1] module learning_machines_drift learning_machines_drift.backends learning_machines_drift.datasets learning_machines_drift.display learning_machines_drift.exceptions learning_machines_drift.filter learning_machines_drift.metrics learning_machines_drift.monitor learning_machines_drift.registry learning_machines_drift.types

Monitor (class in learning_machines_drift) (class in learning_machines_drift.monitor)

N

n_features (FeatureSummary attribute) n_labels (LabelSummary attribute) n_latents (LatentSummary attribute)

n_rows (FeatureSummary attribute) (LabelSummary attribute) (LatentSummary attribute)

P

plot() (Display class method), [1]

R

random_state (Metrics attribute) ref_dataset (Monitor attribute), [1] (Registry attribute), [1] ref_summary() (Registry method), [1] reference_dataset (Metrics attribute) ReferenceDatasetMissing register_ref_dataset() (Registry method), [1] registered_dataset (Metrics attribute) (Monitor attribute), [1] (Registry property), [1]

registered_features (Registry attribute), [1] registered_labels (Registry attribute), [1] registered_latents (Registry attribute), [1] Registry (class in learning_machines_drift) (class in learning_machines_drift.registry) results (StructuredResult attribute), [1]

S

save_logged_features() (Backend method) (FileBackend method), [1] save_logged_labels() (Backend method) (FileBackend method), [1] save_logged_latents() (Backend method) (FileBackend method), [1] save_reference_dataset() (Backend method) (FileBackend method), [1] (Registry method), [1]

scipy_kolmogorov_smirnov() (Metrics method) scipy_mannwhitneyu() (Metrics method) scipy_permutation() (Metrics method) shapes (BaselineSummary attribute) ShapeSummary (class in learning_machines_drift.types) StructuredResult (class in learning_machines_drift) (class in learning_machines_drift.types)

T

table() (Display class method), [1] tag (Monitor attribute), [1] (Registry attribute), [1]

transform() (Filter method), [1] TYPE_OTHER (Wrapper attribute) TYPE_SDMETRIC (Wrapper attribute) TYPE_TUPLE (Wrapper attribute)

U

unify() (Dataset method), [1]

V

value (Condition attribute)

W

Wrapper (class in learning_machines_drift.metrics)