Index

_

__eq__() (nannyml.drift.univariate.methods.Method method) (nannyml.performance_calculation.metrics.base.Metric method) (nannyml.performance_estimation.confidence_based.metrics.Metric method) (nannyml.performance_estimation.direct_loss_estimation.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) accuracy_sampling_error() (in module nannyml.sampling_error.binary_classification) (in module nannyml.sampling_error.multiclass_classification) accuracy_sampling_error_components() (in module nannyml.sampling_error.binary_classification) (in module nannyml.sampling_error.multiclass_classification) add() (nannyml.plots.components.hover.Hover method) add_alert() (nannyml.plots.components.figure.Figure method) add_artificial_endpoint() (in module nannyml.plots.util) add_confidence_band() (nannyml.plots.components.figure.Figure method) add_metric() (nannyml.plots.components.figure.Figure method) add_period_separator() (nannyml.plots.components.figure.Figure method) add_threshold() (nannyml.plots.components.figure.Figure method) Alert

alert (nannyml.io.db.entities.CBPEPerformanceMetric attribute) (nannyml.io.db.entities.DataReconstructionFeatureDriftMetric attribute) (nannyml.io.db.entities.DLEPerformanceMetric attribute) (nannyml.io.db.entities.Metric attribute) (nannyml.io.db.entities.RealizedPerformanceMetric attribute) (nannyml.io.db.entities.UnivariateDriftMetric attribute) alert() (in module nannyml.plots.components.joy_plot) (in module nannyml.plots.components.stacked_bar_plot) (in module nannyml.plots.components.step_plot) (nannyml.drift.univariate.methods.Method method) AlertCountRanker (class in nannyml.drift.ranker) analysis_data (nannyml.config.InputConfig attribute) auroc_sampling_error() (in module nannyml.sampling_error.binary_classification) (in module nannyml.sampling_error.multiclass_classification) auroc_sampling_error_components() (in module nannyml.sampling_error.binary_classification) (in module nannyml.sampling_error.multiclass_classification)

B

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

BinaryClassificationRecall (class in nannyml.performance_calculation.metrics.binary_classification) (class in nannyml.performance_estimation.confidence_based.metrics) BinaryClassificationSpecificity (class in nannyml.performance_calculation.metrics.binary_classification) (class in nannyml.performance_estimation.confidence_based.metrics) BLUE_SKY_CRAYOLA (nannyml.plots.colors.Colors attribute) Butterfly dataset

C

calculate() (nannyml.base.AbstractCalculator method) (nannyml.drift.univariate.methods.Method method) (nannyml.performance_calculation.metrics.base.Metric method) calculate_chunk_distributions() (in module nannyml.plots.components.joy_plot) calculate_value_counts() (in module nannyml.plots.components.stacked_bar_plot) 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.drift.univariate.methods.FeatureType attribute) CBPE (class in nannyml.performance_estimation.confidence_based.cbpe) (Confidence-Based Performance Estimation) CBPE_ESTIMATOR_FIT (nannyml.analytics.UsageEvent attribute) (nannyml.usage_logging.UsageEvent attribute) CBPE_ESTIMATOR_RUN (nannyml.analytics.UsageEvent attribute) (nannyml.usage_logging.UsageEvent attribute) CBPE_PLOT (nannyml.usage_logging.UsageEvent attribute) CBPEMapper (class in nannyml.io.db.mappers) CBPEPerformanceMetric (class in nannyml.io.db.entities) check_and_convert() (in module nannyml.plots.util) Chi Squared test Chi2Statistic (class in nannyml.drift.univariate.methods) Child model Chunk (class in nannyml.chunk) chunk_count (nannyml.config.ChunkerConfig attribute) chunk_period (nannyml.config.ChunkerConfig attribute) chunk_size (nannyml.config.ChunkerConfig attribute) Chunker (class in nannyml.chunk)

chunker (nannyml.config.Config attribute) ChunkerConfig (class in nannyml.config) ChunkerException ChunkerFactory (class in nannyml.chunk) CLI_RUN (nannyml.usage_logging.UsageEvent attribute) Colors (class in nannyml.plots.colors) column_mapping (nannyml.config.Config attribute) column_name (nannyml.io.db.entities.UnivariateDriftMetric attribute) ColumnMapping (class in nannyml.config) Concept Drift Confidence Band Confidence Score Config (class in nannyml.config) connection_string (nannyml.config.DatabaseWriterConfig attribute) CONTINUOUS (nannyml.drift.univariate.methods.FeatureType attribute) CorrelationRanker (class in nannyml.drift.ranker) CountBasedChunker (class in nannyml.chunk) Covariate Shift create() (nannyml.calibration.CalibratorFactory class method) (nannyml.drift.univariate.methods.MethodFactory class method) (nannyml.io.base.WriterFactory class method) (nannyml.io.db.mappers.MapperFactory class method) (nannyml.performance_calculation.metrics.base.MetricFactory class method) (nannyml.performance_estimation.confidence_based.metrics.MetricFactory class method) (nannyml.performance_estimation.direct_loss_estimation.metrics.MetricFactory class method) credentials (nannyml.config.InputDataConfig attribute) (nannyml.config.PickleWriterConfig attribute) (nannyml.config.RawFileWriterConfig attribute) cron (nannyml.config.SchedulingConfig attribute) CronSchedulingConfig (class in nannyml.config) crontab (nannyml.config.CronSchedulingConfig attribute)

D

Data Chunk Data Drift Data Period database (nannyml.config.WriterConfig attribute) DatabaseWriter (class in nannyml.io.db.database_writer) DatabaseWriterConfig (class in nannyml.config) DataReconstructionDriftCalculator (class in nannyml.drift.multivariate.data_reconstruction.calculator) DataReconstructionFeatureDriftMetric (class in nannyml.io.db.entities) days (nannyml.config.IntervalSchedulingConfig attribute) DEFAULT_CHUNK_COUNT (nannyml.chunk.DefaultChunker attribute)

DEFAULT_COLUMNS (nannyml.base.AbstractCalculatorResult attribute) (nannyml.base.AbstractEstimatorResult attribute) DefaultChunker (class in nannyml.chunk) disable_usage_logging() (in module nannyml.usage_logging) DLE (class in nannyml.performance_estimation.direct_loss_estimation.dle) DLE_ESTIMATOR_FIT (nannyml.usage_logging.UsageEvent attribute) DLE_ESTIMATOR_RUN (nannyml.usage_logging.UsageEvent attribute) DLE_PLOT (nannyml.usage_logging.UsageEvent attribute) DLEMapper (class in nannyml.io.db.mappers) DLEPerformanceMetric (class in nannyml.io.db.entities)

E

enable_usage_logging() (in module nannyml.usage_logging) end_timestamp (nannyml.io.db.entities.CBPEPerformanceMetric attribute) (nannyml.io.db.entities.DataReconstructionFeatureDriftMetric attribute) (nannyml.io.db.entities.DLEPerformanceMetric attribute) (nannyml.io.db.entities.Metric attribute) (nannyml.io.db.entities.RealizedPerformanceMetric attribute) (nannyml.io.db.entities.UnivariateDriftMetric attribute) ensure_numpy() (in module nannyml.plots.util) Error estimate() (nannyml.base.AbstractEstimator method) (nannyml.performance_estimation.confidence_based.metrics.Metric method) (nannyml.performance_estimation.direct_loss_estimation.metrics.Metric method)

estimate_f1() (in module nannyml.performance_estimation.confidence_based.metrics) estimate_precision() (in module nannyml.performance_estimation.confidence_based.metrics) estimate_recall() (in module nannyml.performance_estimation.confidence_based.metrics) estimate_roc_auc() (in module nannyml.performance_estimation.confidence_based.metrics) estimate_specificity() (in module nannyml.performance_estimation.confidence_based.metrics) Estimated Performance EstimatorException execution_timestamp (nannyml.io.db.entities.Run attribute)

F

f1_sampling_error() (in module nannyml.sampling_error.binary_classification) (in module nannyml.sampling_error.multiclass_classification) f1_sampling_error_components() (in module nannyml.sampling_error.binary_classification) (in module nannyml.sampling_error.multiclass_classification) Feature features (nannyml.config.ColumnMapping attribute) FeatureType (class in nannyml.drift.univariate.methods) Figure (class in nannyml.plots.components.figure) FileReader (class in nannyml.io.file_reader) FileWriter (class in nannyml.io.file_writer) filter() (nannyml.base.AbstractCalculatorResult method) (nannyml.base.AbstractEstimatorResult method)

fit() (nannyml.base.AbstractCalculator method) (nannyml.base.AbstractEstimator method) (nannyml.calibration.Calibrator method) (nannyml.calibration.IsotonicCalibrator method) (nannyml.calibration.NoopCalibrator method) (nannyml.drift.ranker.CorrelationRanker method) (nannyml.drift.univariate.methods.Method method) (nannyml.performance_calculation.metrics.base.Metric method) (nannyml.performance_estimation.confidence_based.metrics.Metric method) (nannyml.performance_estimation.direct_loss_estimation.metrics.Metric method) format (nannyml.config.RawFileWriterConfig attribute)

G

get_chunker() (nannyml.chunk.ChunkerFactory class method) get_config_path() (in module nannyml.config) get_custom_data() (nannyml.plots.components.hover.Hover method) get_logger() (in module nannyml.usage_logging)

get_template() (nannyml.plots.components.hover.Hover method) GRAY (nannyml.plots.colors.Colors attribute) GRAY_DARK (nannyml.plots.colors.Colors attribute) GREEN_SEA (nannyml.plots.colors.Colors attribute) Ground truth

H

HellingerDistance (class in nannyml.drift.univariate.methods)

hours (nannyml.config.IntervalSchedulingConfig attribute) Hover (class in nannyml.plots.components.hover)

I

id (nannyml.io.db.entities.CBPEPerformanceMetric attribute) (nannyml.io.db.entities.DataReconstructionFeatureDriftMetric attribute) (nannyml.io.db.entities.DLEPerformanceMetric attribute) (nannyml.io.db.entities.Metric attribute) (nannyml.io.db.entities.Model attribute) (nannyml.io.db.entities.RealizedPerformanceMetric attribute) (nannyml.io.db.entities.Run attribute) (nannyml.io.db.entities.UnivariateDriftMetric attribute) Identifier ignore_errors (nannyml.config.Config attribute) Imputation

INDIGO_PERSIAN (nannyml.plots.colors.Colors attribute) input (nannyml.config.Config attribute) InputConfig (class in nannyml.config) InputDataConfig (class in nannyml.config) interval (nannyml.config.SchedulingConfig attribute) IntervalSchedulingConfig (class in nannyml.config) InvalidArgumentsException InvalidReferenceDataException IOException is_time_based_x_axis() (in module nannyml.plots.util) IsotonicCalibrator (class in nannyml.calibration)

J

JensenShannonDistance (class in nannyml.drift.univariate.methods)

join_column (nannyml.config.TargetDataConfig attribute) joy() (in module nannyml.plots.components.joy_plot)

K

Kolmogorov-Smirnov test

KolmogorovSmirnovStatistic (class in nannyml.drift.univariate.methods)

L

Latent space LIGHT_GRAY (nannyml.plots.colors.Colors attribute) LInfinityDistance (class in nannyml.drift.univariate.methods) load() (nannyml.config.Config class method) 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_car_price_dataset() (in module nannyml.datasets.datasets)

load_synthetic_multiclass_classification_dataset() (in module nannyml.datasets.datasets) log() (nannyml.usage_logging.UsageLogger method) log_usage() (in module nannyml.usage_logging) Loss Loss Function lower_threshold (nannyml.io.db.entities.CBPEPerformanceMetric attribute) (nannyml.io.db.entities.DataReconstructionFeatureDriftMetric attribute) (nannyml.io.db.entities.DLEPerformanceMetric attribute) (nannyml.io.db.entities.RealizedPerformanceMetric attribute)

M

MAE (class in nannyml.performance_calculation.metrics.regression) (class in nannyml.performance_estimation.direct_loss_estimation.metrics) mae_sampling_error() (in module nannyml.sampling_error.regression) mae_sampling_error_components() (in module nannyml.sampling_error.regression) map_to_entity() (nannyml.io.db.mappers.CBPEMapper method) (nannyml.io.db.mappers.DLEMapper method) (nannyml.io.db.mappers.Mapper method) (nannyml.io.db.mappers.RealizedPerformanceMapper method) (nannyml.io.db.mappers.ReconstructionErrorDriftResultMapper method) (nannyml.io.db.mappers.UnivariateDriftResultMapper method) MAPE (class in nannyml.performance_calculation.metrics.regression) (class in nannyml.performance_estimation.direct_loss_estimation.metrics) mape_sampling_error() (in module nannyml.sampling_error.regression) mape_sampling_error_components() (in module nannyml.sampling_error.regression) Mapper (class in nannyml.io.db.mappers) MapperFactory (class in nannyml.io.db.mappers) merge() (nannyml.chunk.Chunk method) Method (class in nannyml.drift.univariate.methods) MethodFactory (class in nannyml.drift.univariate.methods) Metric (class in nannyml.io.db.entities) (class in nannyml.performance_calculation.metrics.base) (class in nannyml.performance_estimation.confidence_based.metrics) (class in nannyml.performance_estimation.direct_loss_estimation.metrics) metric() (in module nannyml.plots.components.step_plot) metric_name (nannyml.io.db.entities.CBPEPerformanceMetric attribute) (nannyml.io.db.entities.DataReconstructionFeatureDriftMetric attribute) (nannyml.io.db.entities.DLEPerformanceMetric attribute) (nannyml.io.db.entities.Metric attribute) (nannyml.io.db.entities.RealizedPerformanceMetric attribute) (nannyml.io.db.entities.UnivariateDriftMetric attribute) MetricFactory (class in nannyml.performance_calculation.metrics.base) (class in nannyml.performance_estimation.confidence_based.metrics) (class in nannyml.performance_estimation.direct_loss_estimation.metrics) minutes (nannyml.config.IntervalSchedulingConfig attribute) MissingMetadataException Model (class in nannyml.io.db.entities) model (nannyml.io.db.entities.Run attribute) Model inputs Model outputs Model predictions model_id (nannyml.io.db.entities.CBPEPerformanceMetric attribute) (nannyml.io.db.entities.DataReconstructionFeatureDriftMetric attribute) (nannyml.io.db.entities.DLEPerformanceMetric attribute) (nannyml.io.db.entities.Metric attribute) (nannyml.io.db.entities.RealizedPerformanceMetric attribute) (nannyml.io.db.entities.Run attribute) (nannyml.io.db.entities.UnivariateDriftMetric attribute) model_name (nannyml.config.DatabaseWriterConfig attribute) module nannyml nannyml.analytics nannyml.base nannyml.calibration nannyml.chunk nannyml.cli nannyml.cli.cli nannyml.cli.run nannyml.config nannyml.datasets nannyml.datasets.data nannyml.datasets.datasets nannyml.drift nannyml.drift.multivariate nannyml.drift.multivariate.data_reconstruction nannyml.drift.multivariate.data_reconstruction.calculator nannyml.drift.multivariate.data_reconstruction.result nannyml.drift.ranker nannyml.drift.univariate nannyml.drift.univariate.calculator nannyml.drift.univariate.methods nannyml.drift.univariate.result nannyml.exceptions nannyml.io nannyml.io.base nannyml.io.db nannyml.io.db.database_writer nannyml.io.db.entities nannyml.io.db.mappers nannyml.io.file_reader nannyml.io.file_writer nannyml.io.pickle_file_writer nannyml.io.raw_files_writer nannyml.performance_calculation nannyml.performance_calculation.calculator nannyml.performance_calculation.metrics nannyml.performance_calculation.metrics.base nannyml.performance_calculation.metrics.binary_classification nannyml.performance_calculation.metrics.multiclass_classification nannyml.performance_calculation.metrics.regression nannyml.performance_calculation.result nannyml.performance_estimation nannyml.performance_estimation.confidence_based nannyml.performance_estimation.confidence_based.cbpe nannyml.performance_estimation.confidence_based.metrics nannyml.performance_estimation.confidence_based.results nannyml.performance_estimation.direct_loss_estimation nannyml.performance_estimation.direct_loss_estimation.dle nannyml.performance_estimation.direct_loss_estimation.metrics nannyml.performance_estimation.direct_loss_estimation.result nannyml.plots nannyml.plots.blueprints nannyml.plots.blueprints.distributions nannyml.plots.blueprints.metrics nannyml.plots.colors nannyml.plots.components nannyml.plots.components.figure nannyml.plots.components.hover nannyml.plots.components.joy_plot nannyml.plots.components.stacked_bar_plot nannyml.plots.components.step_plot nannyml.plots.util nannyml.runner nannyml.sampling_error nannyml.sampling_error.binary_classification nannyml.sampling_error.multiclass_classification nannyml.sampling_error.regression nannyml.usage_logging

MSE (class in nannyml.performance_calculation.metrics.regression) (class in nannyml.performance_estimation.direct_loss_estimation.metrics) mse_sampling_error() (in module nannyml.sampling_error.regression) mse_sampling_error_components() (in module nannyml.sampling_error.regression) MSLE (class in nannyml.performance_calculation.metrics.regression) (class in nannyml.performance_estimation.direct_loss_estimation.metrics) msle_sampling_error() (in module nannyml.sampling_error.regression) msle_sampling_error_components() (in module nannyml.sampling_error.regression) MulticlassClassificationAccuracy (class in nannyml.performance_calculation.metrics.multiclass_classification) (class in nannyml.performance_estimation.confidence_based.metrics) MulticlassClassificationAUROC (class in nannyml.performance_calculation.metrics.multiclass_classification) (class in nannyml.performance_estimation.confidence_based.metrics) MulticlassClassificationF1 (class in nannyml.performance_calculation.metrics.multiclass_classification) (class in nannyml.performance_estimation.confidence_based.metrics) MulticlassClassificationPrecision (class in nannyml.performance_calculation.metrics.multiclass_classification) (class in nannyml.performance_estimation.confidence_based.metrics) MulticlassClassificationRecall (class in nannyml.performance_calculation.metrics.multiclass_classification) (class in nannyml.performance_estimation.confidence_based.metrics) MulticlassClassificationSpecificity (class in nannyml.performance_calculation.metrics.multiclass_classification) (class in nannyml.performance_estimation.confidence_based.metrics) MULTIVAR_DRIFT_CALC_FIT (nannyml.usage_logging.UsageEvent attribute) MULTIVAR_DRIFT_CALC_RUN (nannyml.usage_logging.UsageEvent attribute) MULTIVAR_DRIFT_PLOT (nannyml.usage_logging.UsageEvent attribute) MULTIVAR_RECONST_DRIFT_CALC_FIT (nannyml.analytics.UsageEvent attribute) MULTIVAR_RECONST_DRIFT_CALC_RUN (nannyml.analytics.UsageEvent attribute) Multivariate Drift Detection

N

name (nannyml.io.db.entities.Model attribute) Nanny model nannyml module nannyml.analytics module nannyml.base module nannyml.calibration module nannyml.chunk module nannyml.cli module nannyml.cli.cli module nannyml.cli.run module nannyml.config module nannyml.datasets module nannyml.datasets.data module nannyml.datasets.datasets module nannyml.drift module nannyml.drift.multivariate module nannyml.drift.multivariate.data_reconstruction module nannyml.drift.multivariate.data_reconstruction.calculator module nannyml.drift.multivariate.data_reconstruction.result module nannyml.drift.ranker module nannyml.drift.univariate module nannyml.drift.univariate.calculator module nannyml.drift.univariate.methods module nannyml.drift.univariate.result module nannyml.exceptions module nannyml.io module nannyml.io.base module nannyml.io.db module nannyml.io.db.database_writer module nannyml.io.db.entities module nannyml.io.db.mappers module nannyml.io.file_reader module nannyml.io.file_writer module nannyml.io.pickle_file_writer module nannyml.io.raw_files_writer module nannyml.performance_calculation module

nannyml.performance_calculation.calculator module nannyml.performance_calculation.metrics module nannyml.performance_calculation.metrics.base module nannyml.performance_calculation.metrics.binary_classification module nannyml.performance_calculation.metrics.multiclass_classification module nannyml.performance_calculation.metrics.regression 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.metrics module nannyml.performance_estimation.confidence_based.results module nannyml.performance_estimation.direct_loss_estimation module nannyml.performance_estimation.direct_loss_estimation.dle module nannyml.performance_estimation.direct_loss_estimation.metrics module nannyml.performance_estimation.direct_loss_estimation.result module nannyml.plots module nannyml.plots.blueprints module nannyml.plots.blueprints.distributions module nannyml.plots.blueprints.metrics module nannyml.plots.colors module nannyml.plots.components module nannyml.plots.components.figure module nannyml.plots.components.hover module nannyml.plots.components.joy_plot module nannyml.plots.components.stacked_bar_plot module nannyml.plots.components.step_plot module nannyml.plots.util module nannyml.runner module nannyml.sampling_error module nannyml.sampling_error.binary_classification module nannyml.sampling_error.multiclass_classification module nannyml.sampling_error.regression module nannyml.usage_logging module needs_calibration() (in module nannyml.calibration) NoopCalibrator (class in nannyml.calibration) NotFittedException

O

output (nannyml.config.Config attribute)

OUTPUT_DRIFT_CALC_FIT (nannyml.analytics.UsageEvent attribute) OUTPUT_DRIFT_CALC_RUN (nannyml.analytics.UsageEvent attribute)

P

pairwise() (in module nannyml.plots.util) Partition Column path (nannyml.config.InputDataConfig attribute) (nannyml.config.PickleWriterConfig attribute) (nannyml.config.RawFileWriterConfig attribute) PCA Performance Estimation PERFORMANCE_CALC_FIT (nannyml.analytics.UsageEvent attribute) (nannyml.usage_logging.UsageEvent attribute) PERFORMANCE_CALC_RUN (nannyml.analytics.UsageEvent attribute) (nannyml.usage_logging.UsageEvent attribute) PERFORMANCE_PLOT (nannyml.usage_logging.UsageEvent attribute) PerformanceCalculator (class in nannyml.performance_calculation.calculator) PeriodBasedChunker (class in nannyml.chunk) pickle (nannyml.config.WriterConfig attribute) PickleFileWriter (class in nannyml.io.pickle_file_writer) PickleWriterConfig (class in nannyml.config) plot() (nannyml.base.AbstractCalculatorResult method) (nannyml.base.AbstractEstimatorResult method) (nannyml.drift.multivariate.data_reconstruction.result.Result method) (nannyml.drift.univariate.result.Result method) (nannyml.performance_calculation.result.Result method) (nannyml.performance_estimation.confidence_based.results.Result method) (nannyml.performance_estimation.direct_loss_estimation.result.Result method)

plot_2d_categorical_distribution_list() (in module nannyml.plots.blueprints.distributions) plot_2d_continuous_distribution_list() (in module nannyml.plots.blueprints.distributions) plot_2d_metric_list() (in module nannyml.plots.blueprints.metrics) plot_2d_univariate_distributions_list() (in module nannyml.plots.blueprints.distributions) plot_metric() (in module nannyml.plots.blueprints.metrics) plot_metric_list() (in module nannyml.plots.blueprints.metrics) precision_sampling_error() (in module nannyml.sampling_error.binary_classification) (in module nannyml.sampling_error.multiclass_classification) precision_sampling_error_components() (in module nannyml.sampling_error.binary_classification) (in module nannyml.sampling_error.multiclass_classification) Predicted labels Predicted probabilities Predicted scores Predictions problem_type (nannyml.config.Config attribute)

R

rank() (nannyml.drift.ranker.AlertCountRanker method) (nannyml.drift.ranker.CorrelationRanker method) RANKER_ALERT_COUNT_RUN (nannyml.usage_logging.UsageEvent attribute) RANKER_CORRELATION_FIT (nannyml.usage_logging.UsageEvent attribute) RANKER_CORRELATION_RUN (nannyml.usage_logging.UsageEvent attribute) Ranking raw_files (nannyml.config.WriterConfig attribute) RawFilesWriter (class in nannyml.io.raw_files_writer) RawFileWriterConfig (class in nannyml.config) read() (nannyml.io.base.Reader method) read_args (nannyml.config.InputDataConfig attribute) Reader (class in nannyml.io.base) ReaderException Realized Performance realized_performance() (nannyml.performance_estimation.confidence_based.metrics.BinaryClassificationAccuracy method) (nannyml.performance_estimation.confidence_based.metrics.BinaryClassificationAUROC method) (nannyml.performance_estimation.confidence_based.metrics.BinaryClassificationF1 method) (nannyml.performance_estimation.confidence_based.metrics.BinaryClassificationPrecision method) (nannyml.performance_estimation.confidence_based.metrics.BinaryClassificationRecall method) (nannyml.performance_estimation.confidence_based.metrics.BinaryClassificationSpecificity method) (nannyml.performance_estimation.confidence_based.metrics.Metric method) (nannyml.performance_estimation.confidence_based.metrics.MulticlassClassificationAccuracy method) (nannyml.performance_estimation.confidence_based.metrics.MulticlassClassificationAUROC method) (nannyml.performance_estimation.confidence_based.metrics.MulticlassClassificationF1 method) (nannyml.performance_estimation.confidence_based.metrics.MulticlassClassificationPrecision method) (nannyml.performance_estimation.confidence_based.metrics.MulticlassClassificationRecall method) (nannyml.performance_estimation.confidence_based.metrics.MulticlassClassificationSpecificity method) (nannyml.performance_estimation.direct_loss_estimation.metrics.MAE method) (nannyml.performance_estimation.direct_loss_estimation.metrics.MAPE method) (nannyml.performance_estimation.direct_loss_estimation.metrics.Metric method) (nannyml.performance_estimation.direct_loss_estimation.metrics.MSE method) (nannyml.performance_estimation.direct_loss_estimation.metrics.MSLE method) (nannyml.performance_estimation.direct_loss_estimation.metrics.RMSE method) (nannyml.performance_estimation.direct_loss_estimation.metrics.RMSLE method) RealizedPerformanceMapper (class in nannyml.io.db.mappers) RealizedPerformanceMetric (class in nannyml.io.db.entities) recall_sampling_error() (in module nannyml.sampling_error.binary_classification) (in module nannyml.sampling_error.multiclass_classification) recall_sampling_error_components() (in module nannyml.sampling_error.binary_classification) (in module nannyml.sampling_error.multiclass_classification) Reconstruction Error ReconstructionErrorDriftResultMapper (class in nannyml.io.db.mappers)

RED_IMPERIAL (nannyml.plots.colors.Colors attribute) reference_data (nannyml.config.InputConfig attribute) register() (nannyml.drift.univariate.methods.MethodFactory class method) (nannyml.io.base.WriterFactory class method) (nannyml.io.db.mappers.MapperFactory class method) (nannyml.performance_calculation.metrics.base.MetricFactory class method) (nannyml.performance_estimation.confidence_based.metrics.MetricFactory class method) (nannyml.performance_estimation.direct_loss_estimation.metrics.MetricFactory class method) register_calibrator() (nannyml.calibration.CalibratorFactory class method) registry (nannyml.drift.univariate.methods.MethodFactory attribute) (nannyml.io.base.WriterFactory attribute) (nannyml.io.db.mappers.MapperFactory attribute) (nannyml.performance_calculation.metrics.base.MetricFactory attribute) (nannyml.performance_estimation.confidence_based.metrics.MetricFactory attribute) (nannyml.performance_estimation.direct_loss_estimation.metrics.MetricFactory attribute) RegressionMetric (class in nannyml.performance_calculation.metrics.regression) render_alert_string() (in module nannyml.plots.components.hover) render_partial_target_string() (in module nannyml.plots.components.hover) render_period_string() (in module nannyml.plots.components.hover) render_x_coordinate() (in module nannyml.plots.components.hover) Residual Result (class in nannyml.drift.multivariate.data_reconstruction.result) (class in nannyml.drift.univariate.result) (class in nannyml.performance_calculation.result) (class in nannyml.performance_estimation.confidence_based.results) (class in nannyml.performance_estimation.direct_loss_estimation.result) RMSE (class in nannyml.performance_calculation.metrics.regression) (class in nannyml.performance_estimation.direct_loss_estimation.metrics) rmse_sampling_error() (in module nannyml.sampling_error.regression) rmse_sampling_error_components() (in module nannyml.sampling_error.regression) RMSLE (class in nannyml.performance_calculation.metrics.regression) (class in nannyml.performance_estimation.direct_loss_estimation.metrics) rmsle_sampling_error() (in module nannyml.sampling_error.regression) rmsle_sampling_error_components() (in module nannyml.sampling_error.regression) Run (class in nannyml.io.db.entities) run() (in module nannyml.runner) run_id (nannyml.io.db.entities.CBPEPerformanceMetric attribute) (nannyml.io.db.entities.DataReconstructionFeatureDriftMetric attribute) (nannyml.io.db.entities.DLEPerformanceMetric attribute) (nannyml.io.db.entities.Metric attribute) (nannyml.io.db.entities.RealizedPerformanceMetric attribute) (nannyml.io.db.entities.UnivariateDriftMetric attribute) runs (nannyml.io.db.entities.Model attribute)

S

SAFFRON (nannyml.plots.colors.Colors attribute) Sampling Error sampling_error() (in module nannyml.drift.multivariate.data_reconstruction.calculator) (nannyml.performance_calculation.metrics.base.Metric method) (nannyml.performance_estimation.confidence_based.metrics.Metric method) (nannyml.performance_estimation.direct_loss_estimation.metrics.Metric method) scheduling (nannyml.config.Config attribute) SchedulingConfig (class in nannyml.config) SEGMENT_WRITE_KEY (nannyml.analytics.SegmentUsageTracker attribute) (nannyml.usage_logging.SegmentUsageTracker attribute) SegmentUsageTracker (class in nannyml.analytics) (class in nannyml.usage_logging) SizeBasedChunker (class in nannyml.chunk)

specificity_sampling_error() (in module nannyml.sampling_error.binary_classification) (in module nannyml.sampling_error.multiclass_classification) specificity_sampling_error_components() (in module nannyml.sampling_error.binary_classification) (in module nannyml.sampling_error.multiclass_classification) split() (nannyml.chunk.Chunker method) stacked_bar() (in module nannyml.plots.components.stacked_bar_plot) Standard Error start_timestamp (nannyml.io.db.entities.CBPEPerformanceMetric attribute) (nannyml.io.db.entities.DataReconstructionFeatureDriftMetric attribute) (nannyml.io.db.entities.DLEPerformanceMetric attribute) (nannyml.io.db.entities.Metric attribute) (nannyml.io.db.entities.RealizedPerformanceMetric attribute) (nannyml.io.db.entities.UnivariateDriftMetric attribute) SUPPORTED_METRIC_STYLES (nannyml.plots.components.figure.Figure attribute)

T

Target target_data (nannyml.config.InputConfig attribute) TARGET_DISTRIBUTION_DRIFT_CALC_FIT (nannyml.analytics.UsageEvent attribute) TARGET_DISTRIBUTION_DRIFT_CALC_RUN (nannyml.analytics.UsageEvent attribute) TargetDataConfig (class in nannyml.config) TEST_UUID (nannyml.analytics.SegmentUsageTracker attribute) Timestamp timestamp (nannyml.config.ColumnMapping attribute) (nannyml.io.db.entities.CBPEPerformanceMetric attribute) (nannyml.io.db.entities.DataReconstructionFeatureDriftMetric attribute) (nannyml.io.db.entities.DLEPerformanceMetric attribute) (nannyml.io.db.entities.Metric attribute) (nannyml.io.db.entities.RealizedPerformanceMetric attribute) (nannyml.io.db.entities.UnivariateDriftMetric attribute)

to_df() (nannyml.base.AbstractCalculatorResult method) (nannyml.base.AbstractEstimatorResult method) track() (in module nannyml.analytics) (nannyml.analytics.UsageTracker method)

U

UNIVAR_DRIFT_CALC_FIT (nannyml.usage_logging.UsageEvent attribute) UNIVAR_DRIFT_CALC_RUN (nannyml.usage_logging.UsageEvent attribute) UNIVAR_DRIFT_PLOT (nannyml.usage_logging.UsageEvent attribute) UNIVAR_STAT_DRIFT_CALC_FIT (nannyml.analytics.UsageEvent attribute) UNIVAR_STAT_DRIFT_CALC_RUN (nannyml.analytics.UsageEvent attribute) Univariate Drift Detection UnivariateDriftCalculator (class in nannyml.drift.univariate.calculator) UnivariateDriftMetric (class in nannyml.io.db.entities) UnivariateDriftResultMapper (class in nannyml.io.db.mappers)

upper_threshold (nannyml.io.db.entities.CBPEPerformanceMetric attribute) (nannyml.io.db.entities.DataReconstructionFeatureDriftMetric attribute) (nannyml.io.db.entities.DLEPerformanceMetric attribute) (nannyml.io.db.entities.RealizedPerformanceMetric attribute) UsageEvent (class in nannyml.analytics) (class in nannyml.usage_logging) UsageLogger (class in nannyml.usage_logging) UsageTracker (class in nannyml.analytics) user_metadata (nannyml.analytics.UsageTracker attribute)

V

value (nannyml.io.db.entities.CBPEPerformanceMetric attribute) (nannyml.io.db.entities.DataReconstructionFeatureDriftMetric attribute) (nannyml.io.db.entities.DLEPerformanceMetric attribute) (nannyml.io.db.entities.Metric attribute) (nannyml.io.db.entities.RealizedPerformanceMetric attribute) (nannyml.io.db.entities.UnivariateDriftMetric attribute)

W

WassersteinDistance (class in nannyml.drift.univariate.methods) weeks (nannyml.config.IntervalSchedulingConfig attribute) write() (nannyml.io.base.Writer method) write_args (nannyml.config.PickleWriterConfig attribute) (nannyml.config.RawFileWriterConfig attribute) WRITE_DB (nannyml.usage_logging.UsageEvent attribute) write_key (nannyml.analytics.SegmentUsageTracker attribute) (nannyml.usage_logging.SegmentUsageTracker attribute)

WRITE_PICKLE (nannyml.usage_logging.UsageEvent attribute) WRITE_RAW (nannyml.usage_logging.UsageEvent attribute) Writer (class in nannyml.io.base) WriterConfig (class in nannyml.config) WriterException WriterFactory (class in nannyml.io.base)

Y

y_pred (nannyml.config.ColumnMapping attribute)

y_pred_proba (nannyml.config.ColumnMapping attribute) y_true (nannyml.config.ColumnMapping attribute)