Index

_

__eq__() (nannyml.performance_calculation.metrics.Metric method) __len__() (nannyml.chunk.Chunk method)

__new__() (nannyml.performance_estimation.confidence_based.cbpe.CBPE static method) __repr__() (nannyml.chunk.Chunk method)

A

AbstractCalculator (class in nannyml.base) AbstractCalculatorResult (class in nannyml.base) AbstractEstimator (class in nannyml.base)

AbstractEstimatorResult (class in nannyml.base) Alert ALERT_COLUMN_SUFFIX (nannyml.drift.ranking.AlertCountRanking attribute) AlertCountRanking (class in nannyml.drift.ranking)

B

BinaryClassificationAccuracy (class in nannyml.performance_calculation.metrics) BinaryClassificationAUROC (class in nannyml.performance_calculation.metrics) BinaryClassificationF1 (class in nannyml.performance_calculation.metrics) BinaryClassificationPrecision (class in nannyml.performance_calculation.metrics)

BinaryClassificationRecall (class in nannyml.performance_calculation.metrics) BinaryClassificationSpecificity (class in nannyml.performance_calculation.metrics) BLUE_SKY_CRAYOLA (nannyml.plots.colors.Colors attribute) Butterfly dataset by() (nannyml.drift.ranking.Ranker class method)

C

calculate() (nannyml.base.AbstractCalculator method) (nannyml.performance_calculation.metrics.Metric method) calculator_name (nannyml.base.AbstractCalculatorResult property) (nannyml.drift.model_inputs.multivariate.data_reconstruction.results.DataReconstructionDriftCalculatorResult property) (nannyml.drift.model_inputs.univariate.statistical.results.UnivariateStatisticalDriftCalculatorResult property) (nannyml.drift.model_outputs.univariate.statistical.results.UnivariateDriftResult property) (nannyml.drift.target.target_distribution.result.TargetDistributionResult property) (nannyml.performance_calculation.result.PerformanceCalculatorResult property) CalculatorException CalculatorNotFittedException calibrate() (nannyml.calibration.Calibrator method) (nannyml.calibration.IsotonicCalibrator method) (nannyml.calibration.NoopCalibrator method) Calibrator (class in nannyml.calibration)

CalibratorFactory (class in nannyml.calibration) CBPE (class in nannyml.performance_estimation.confidence_based.cbpe) (Confidence-Based Performance Estimation) CBPEPerformanceEstimatorResult (class in nannyml.performance_estimation.confidence_based.results) Chi Squared test Chunk (class in nannyml.chunk) Chunker (class in nannyml.chunk) ChunkerException ChunkerFactory (class in nannyml.chunk) Colors (class in nannyml.plots.colors) Concept Drift CountBasedChunker (class in nannyml.chunk) create() (nannyml.calibration.CalibratorFactory class method) (nannyml.performance_calculation.metrics.MetricFactory class method)

D

Data Chunk Data Drift Data Period

DataReconstructionDriftCalculator (class in nannyml.drift.model_inputs.multivariate.data_reconstruction.calculator) DataReconstructionDriftCalculatorResult (class in nannyml.drift.model_inputs.multivariate.data_reconstruction.results) DEFAULT_CHUNK_COUNT (nannyml.chunk.DefaultChunker attribute) DefaultChunker (class in nannyml.chunk)

E

estimate() (nannyml.base.AbstractEstimator method) Estimated Performance

estimator_name (nannyml.base.AbstractEstimatorResult property) (nannyml.performance_estimation.confidence_based.results.CBPEPerformanceEstimatorResult property)

F

Feature feature_drift() (in module nannyml.plots.feature_drift) FileWriter (class in nannyml.io.file_writer) fit() (nannyml.base.AbstractCalculator method) (nannyml.base.AbstractEstimator method) (nannyml.calibration.Calibrator method) (nannyml.calibration.IsotonicCalibrator method) (nannyml.calibration.NoopCalibrator method) (nannyml.performance_calculation.metrics.Metric method)

G

get_chunker() (nannyml.chunk.ChunkerFactory class method) get_filepath_str() (in module nannyml.io.base) get_protocol_and_path() (in module nannyml.io.base)

GRAY (nannyml.plots.colors.Colors attribute) GRAY_DARK (nannyml.plots.colors.Colors attribute) GREEN_SEA (nannyml.plots.colors.Colors attribute) Ground truth

I

Identifier Imputation INDIGO_PERSIAN (nannyml.plots.colors.Colors attribute)

InvalidArgumentsException InvalidReferenceDataException IsotonicCalibrator (class in nannyml.calibration)

K

Kolmogorov-Smirnov test

L

Latent space LIGHT_GRAY (nannyml.plots.colors.Colors attribute) load_csv_file_to_df() (in module nannyml.datasets.datasets)

load_modified_california_housing_dataset() (in module nannyml.datasets.datasets) load_synthetic_binary_classification_dataset() (in module nannyml.datasets.datasets) load_synthetic_car_loan_dataset() (in module nannyml.datasets.datasets) load_synthetic_multiclass_classification_dataset() (in module nannyml.datasets.datasets)

M

Metric (class in nannyml.performance_calculation.metrics) MetricFactory (class in nannyml.performance_calculation.metrics) minimum_chunk_size() (nannyml.performance_calculation.metrics.Metric method) MissingMetadataException Model inputs Model outputs Model predictions module nannyml nannyml.base nannyml.calibration nannyml.chunk nannyml.datasets nannyml.datasets.data nannyml.datasets.datasets nannyml.drift nannyml.drift.model_inputs nannyml.drift.model_inputs.multivariate nannyml.drift.model_inputs.multivariate.data_reconstruction nannyml.drift.model_inputs.multivariate.data_reconstruction.calculator nannyml.drift.model_inputs.multivariate.data_reconstruction.results nannyml.drift.model_inputs.univariate nannyml.drift.model_inputs.univariate.statistical nannyml.drift.model_inputs.univariate.statistical.calculator nannyml.drift.model_inputs.univariate.statistical.results nannyml.drift.model_outputs nannyml.drift.model_outputs.univariate nannyml.drift.model_outputs.univariate.statistical nannyml.drift.model_outputs.univariate.statistical.calculator nannyml.drift.model_outputs.univariate.statistical.results nannyml.drift.ranking nannyml.drift.target nannyml.drift.target.target_distribution nannyml.drift.target.target_distribution.calculator nannyml.drift.target.target_distribution.result nannyml.exceptions nannyml.io nannyml.io.base nannyml.io.file_writer nannyml.performance_calculation nannyml.performance_calculation.calculator nannyml.performance_calculation.metrics nannyml.performance_calculation.result nannyml.performance_estimation nannyml.performance_estimation.confidence_based nannyml.performance_estimation.confidence_based.cbpe nannyml.performance_estimation.confidence_based.results nannyml.plots nannyml.plots.colors nannyml.plots.feature_drift nannyml.runner

MulticlassClassificationAccuracy (class in nannyml.performance_calculation.metrics) MulticlassClassificationAUROC (class in nannyml.performance_calculation.metrics) MulticlassClassificationF1 (class in nannyml.performance_calculation.metrics) MulticlassClassificationPrecision (class in nannyml.performance_calculation.metrics) MulticlassClassificationRecall (class in nannyml.performance_calculation.metrics) MulticlassClassificationSpecificity (class in nannyml.performance_calculation.metrics) Multivariate Drift Detection

N

nannyml module nannyml.base module nannyml.calibration module nannyml.chunk module nannyml.datasets module nannyml.datasets.data module nannyml.datasets.datasets module nannyml.drift module nannyml.drift.model_inputs module nannyml.drift.model_inputs.multivariate module nannyml.drift.model_inputs.multivariate.data_reconstruction module nannyml.drift.model_inputs.multivariate.data_reconstruction.calculator module nannyml.drift.model_inputs.multivariate.data_reconstruction.results module nannyml.drift.model_inputs.univariate module nannyml.drift.model_inputs.univariate.statistical module nannyml.drift.model_inputs.univariate.statistical.calculator module nannyml.drift.model_inputs.univariate.statistical.results module nannyml.drift.model_outputs module nannyml.drift.model_outputs.univariate module nannyml.drift.model_outputs.univariate.statistical module nannyml.drift.model_outputs.univariate.statistical.calculator module nannyml.drift.model_outputs.univariate.statistical.results module

nannyml.drift.ranking module nannyml.drift.target module nannyml.drift.target.target_distribution module nannyml.drift.target.target_distribution.calculator module nannyml.drift.target.target_distribution.result module nannyml.exceptions module nannyml.io module nannyml.io.base module nannyml.io.file_writer module nannyml.performance_calculation module nannyml.performance_calculation.calculator module nannyml.performance_calculation.metrics module nannyml.performance_calculation.result module nannyml.performance_estimation module nannyml.performance_estimation.confidence_based module nannyml.performance_estimation.confidence_based.cbpe module nannyml.performance_estimation.confidence_based.results module nannyml.plots module nannyml.plots.colors module nannyml.plots.feature_drift module nannyml.runner module needs_calibration() (in module nannyml.calibration) NoopCalibrator (class in nannyml.calibration) NotFittedException

P

Partition Column PCA Performance Estimation PerformanceCalculator (class in nannyml.performance_calculation.calculator) PerformanceCalculatorResult (class in nannyml.performance_calculation.result) PeriodBasedChunker (class in nannyml.chunk) plot() (nannyml.base.AbstractCalculatorResult method) (nannyml.base.AbstractEstimatorResult method) (nannyml.drift.model_inputs.multivariate.data_reconstruction.results.DataReconstructionDriftCalculatorResult method) (nannyml.drift.model_inputs.univariate.statistical.results.UnivariateStatisticalDriftCalculatorResult method) (nannyml.drift.model_outputs.univariate.statistical.results.UnivariateDriftResult method) (nannyml.drift.target.target_distribution.result.TargetDistributionResult method) (nannyml.performance_calculation.result.PerformanceCalculatorResult method) (nannyml.performance_estimation.confidence_based.results.CBPEPerformanceEstimatorResult method)

Predicted labels Predicted probabilities Predicted scores Predictions

R

rank() (nannyml.drift.ranking.AlertCountRanking method) (nannyml.drift.ranking.Ranking method) Ranker (class in nannyml.drift.ranking) Ranking (class in nannyml.drift.ranking) Realized Performance Reconstruction Error

RED_IMPERIAL (nannyml.plots.colors.Colors attribute) register() (nannyml.drift.ranking.Ranker class method) (nannyml.performance_calculation.metrics.MetricFactory class method) register_calibrator() (nannyml.calibration.CalibratorFactory class method) registry (nannyml.drift.ranking.Ranker attribute) (nannyml.performance_calculation.metrics.MetricFactory attribute)

S

SAFFRON (nannyml.plots.colors.Colors attribute) SizeBasedChunker (class in nannyml.chunk)

split() (nannyml.chunk.Chunker method) StatisticalOutputDriftCalculator (class in nannyml.drift.model_outputs.univariate.statistical.calculator)

T

Target TargetDistributionCalculator (class in nannyml.drift.target.target_distribution.calculator)

TargetDistributionResult (class in nannyml.drift.target.target_distribution.result) Timestamp

U

Univariate Drift Detection UnivariateDriftResult (class in nannyml.drift.model_outputs.univariate.statistical.results)

UnivariateStatisticalDriftCalculator (class in nannyml.drift.model_inputs.univariate.statistical.calculator) UnivariateStatisticalDriftCalculatorResult (class in nannyml.drift.model_inputs.univariate.statistical.results)

W

write() (nannyml.io.base.Writer method)

Writer (class in nannyml.io.base) WriterException