NannyML
v0.4.1
Contents:
Quickstart
Tutorials
How It Works
Examples
Troubleshooting
Datasets
Glossary
API reference
Contributing
NannyML
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Index
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Index
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A
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B
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C
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D
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E
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F
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G
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I
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L
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M
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N
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O
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P
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R
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S
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T
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U
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V
_
__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)
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)
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)
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v: v0.4.1
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