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) (nannyml.drift.model_inputs.univariate.statistical.results.UnivariateDriftResult method) (nannyml.metadata.base.ModelMetadata method) (nannyml.metadata.feature.Feature method)

__str__() (nannyml.metadata.base.ModelMetadata method) (nannyml.metadata.feature.Feature method)

A

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) BinaryClassificationMetadata (class in nannyml.metadata.binary_classification) 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.drift.base.DriftCalculator method) (nannyml.drift.model_inputs.multivariate.data_reconstruction.calculator.DataReconstructionDriftCalculator method) (nannyml.drift.model_inputs.univariate.statistical.calculator.UnivariateStatisticalDriftCalculator method) (nannyml.drift.target.target_distribution.calculator.TargetDistributionCalculator method) (nannyml.performance_calculation.calculator.PerformanceCalculator method) (nannyml.performance_calculation.metrics.Metric method) 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) CATEGORICAL (nannyml.metadata.feature.FeatureType attribute) categorical_features (nannyml.metadata.base.ModelMetadata property) 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 class_labels() (nannyml.metadata.multiclass_classification.MulticlassClassificationMetadata method) CLASSIFICATION_BINARY (nannyml.metadata.base.ModelType attribute) CLASSIFICATION_MULTICLASS (nannyml.metadata.base.ModelType attribute) Colors (class in nannyml.plots.colors) Concept Drift CONTINUOUS (nannyml.metadata.feature.FeatureType attribute) continuous_features (nannyml.metadata.base.ModelMetadata property) CountBasedChunker (class in nannyml.chunk) create() (nannyml.calibration.CalibratorFactory class method) (nannyml.metadata.extraction.ModelMetadataFactory 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) DriftCalculator (class in nannyml.drift.base) DriftResult (class in nannyml.drift.base)

E

enrich() (nannyml.metadata.base.ModelMetadata method) (nannyml.metadata.binary_classification.BinaryClassificationMetadata method) (nannyml.metadata.multiclass_classification.MulticlassClassificationMetadata method) (nannyml.metadata.regression.RegressionMetadata method) estimate() (nannyml.performance_estimation.base.PerformanceEstimator method) (nannyml.performance_estimation.confidence_based.cbpe.CBPE method)

Estimated Performance extract() (nannyml.metadata.base.ModelMetadata method) (nannyml.metadata.binary_classification.BinaryClassificationMetadata method) (nannyml.metadata.multiclass_classification.MulticlassClassificationMetadata method) (nannyml.metadata.regression.RegressionMetadata method) extract_metadata() (in module nannyml.metadata.extraction)

F

Feature (class in nannyml.metadata.feature) feature() (nannyml.metadata.base.ModelMetadata method) FeatureType (class in nannyml.metadata.feature) fit() (nannyml.calibration.Calibrator method) (nannyml.calibration.IsotonicCalibrator method) (nannyml.calibration.NoopCalibrator method) (nannyml.drift.base.DriftCalculator method) (nannyml.drift.model_inputs.multivariate.data_reconstruction.calculator.DataReconstructionDriftCalculator method) (nannyml.drift.model_inputs.univariate.statistical.calculator.UnivariateStatisticalDriftCalculator method) (nannyml.drift.target.target_distribution.calculator.TargetDistributionCalculator method) (nannyml.performance_calculation.calculator.PerformanceCalculator method) (nannyml.performance_calculation.metrics.Metric method) (nannyml.performance_estimation.base.PerformanceEstimator method) (nannyml.performance_estimation.confidence_based.cbpe.CBPE method)

G

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

is_complete() (nannyml.metadata.base.ModelMetadata method) (nannyml.metadata.binary_classification.BinaryClassificationMetadata method) (nannyml.metadata.multiclass_classification.MulticlassClassificationMetadata method) (nannyml.metadata.regression.RegressionMetadata method) 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_multiclass_classification_dataset() (in module nannyml.datasets.datasets)

M

mapping (nannyml.metadata.extraction.ModelMetadataFactory attribute) metadata_columns (nannyml.metadata.base.ModelMetadata property) (nannyml.metadata.binary_classification.BinaryClassificationMetadata property) (nannyml.metadata.multiclass_classification.MulticlassClassificationMetadata property) (nannyml.metadata.regression.RegressionMetadata property) 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 Metadata Model outputs Model predictions ModelMetadata (class in nannyml.metadata.base) ModelMetadataFactory (class in nannyml.metadata.extraction) ModelType (class in nannyml.metadata.base) module nannyml nannyml.calibration nannyml.chunk nannyml.datasets nannyml.datasets.data nannyml.datasets.datasets nannyml.drift nannyml.drift.base 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.ranking nannyml.drift.target nannyml.drift.target.target_distribution nannyml.drift.target.target_distribution.calculator nannyml.drift.target.target_distribution.result nannyml.exceptions nannyml.metadata nannyml.metadata.base nannyml.metadata.binary_classification nannyml.metadata.extraction nannyml.metadata.feature nannyml.metadata.multiclass_classification nannyml.metadata.regression nannyml.performance_calculation nannyml.performance_calculation.calculator nannyml.performance_calculation.metrics nannyml.performance_calculation.result nannyml.performance_estimation nannyml.performance_estimation.base nannyml.performance_estimation.confidence_based nannyml.performance_estimation.confidence_based.cbpe nannyml.performance_estimation.confidence_based.results nannyml.plots nannyml.plots.colors nannyml.preprocessing

MulticlassClassificationAccuracy (class in nannyml.performance_calculation.metrics) MulticlassClassificationAUROC (class in nannyml.performance_calculation.metrics) MulticlassClassificationF1 (class in nannyml.performance_calculation.metrics) MulticlassClassificationMetadata (class in nannyml.metadata.multiclass_classification) 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.calibration module nannyml.chunk module nannyml.datasets module nannyml.datasets.data module nannyml.datasets.datasets module nannyml.drift module nannyml.drift.base 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.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.metadata module nannyml.metadata.base module nannyml.metadata.binary_classification module nannyml.metadata.extraction module nannyml.metadata.feature module nannyml.metadata.multiclass_classification module nannyml.metadata.regression 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.base 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.preprocessing module needs_calibration() (in module nannyml.calibration) NoopCalibrator (class in nannyml.calibration) NotFittedException

O

ORDINAL (nannyml.metadata.feature.FeatureType attribute)

P

parse() (nannyml.metadata.base.ModelType static method) Partition Column partition_column_name (nannyml.metadata.base.ModelMetadata property) PCA Performance Estimation PerformanceCalculator (class in nannyml.performance_calculation.calculator) PerformanceCalculatorResult (class in nannyml.performance_calculation.result) PerformanceEstimator (class in nannyml.performance_estimation.base) PerformanceEstimatorResult (class in nannyml.performance_estimation.base) PeriodBasedChunker (class in nannyml.chunk) plot() (nannyml.drift.base.DriftResult method) (nannyml.drift.model_inputs.multivariate.data_reconstruction.results.DataReconstructionDriftCalculatorResult method) (nannyml.drift.model_inputs.univariate.statistical.results.UnivariateDriftResult method) (nannyml.drift.target.target_distribution.result.TargetDistributionResult method) (nannyml.performance_calculation.result.PerformanceCalculatorResult method) (nannyml.performance_estimation.base.PerformanceEstimatorResult method) (nannyml.performance_estimation.confidence_based.results.CBPEPerformanceEstimatorResult method)

Predicted labels Predicted probabilities Predicted scores predicted_class_probability_metadata_columns() (nannyml.metadata.multiclass_classification.MulticlassClassificationMetadata method) predicted_probabilities_column_names (nannyml.metadata.multiclass_classification.MulticlassClassificationMetadata property) predicted_probability_column_name (nannyml.metadata.binary_classification.BinaryClassificationMetadata property) prediction_column_name (nannyml.metadata.binary_classification.BinaryClassificationMetadata property) (nannyml.metadata.multiclass_classification.MulticlassClassificationMetadata property) (nannyml.metadata.regression.RegressionMetadata property) Predictions preprocess() (in module nannyml.preprocessing) print() (nannyml.metadata.base.ModelMetadata method) (nannyml.metadata.feature.Feature method)

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_calibrator() (nannyml.calibration.CalibratorFactory class method) register_ranking() (nannyml.drift.ranking.Ranker class method) REGRESSION (nannyml.metadata.base.ModelType attribute) RegressionMetadata (class in nannyml.metadata.regression)

S

SAFFRON (nannyml.plots.colors.Colors attribute)

SizeBasedChunker (class in nannyml.chunk) split() (nannyml.chunk.Chunker method)

T

Target target_column_name (nannyml.metadata.base.ModelMetadata property) TargetDistributionCalculator (class in nannyml.drift.target.target_distribution.calculator) TargetDistributionResult (class in nannyml.drift.target.target_distribution.result) Timestamp timestamp_column_name (nannyml.metadata.base.ModelMetadata property) to_df() (nannyml.metadata.base.ModelMetadata method) (nannyml.metadata.binary_classification.BinaryClassificationMetadata method) (nannyml.metadata.multiclass_classification.MulticlassClassificationMetadata method) (nannyml.metadata.regression.RegressionMetadata method)

to_dict() (nannyml.metadata.base.ModelMetadata method) (nannyml.metadata.binary_classification.BinaryClassificationMetadata method) (nannyml.metadata.feature.Feature method) (nannyml.metadata.multiclass_classification.MulticlassClassificationMetadata method) (nannyml.metadata.regression.RegressionMetadata method)

U

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

UnivariateStatisticalDriftCalculator (class in nannyml.drift.model_inputs.univariate.statistical.calculator) UNKNOWN (nannyml.metadata.feature.FeatureType attribute)

V

validate_predicted_class_labels_in_class_probability_mapping() (nannyml.metadata.multiclass_classification.MulticlassClassificationMetadata method)