nannyml package
Subpackages
- nannyml.cli package
- nannyml.datasets package
- nannyml.drift package
- nannyml.io package
- nannyml.performance_calculation package
- nannyml.performance_estimation package
- nannyml.plots package
- nannyml.sampling_error package
- Submodules
- nannyml.sampling_error.binary_classification module
accuracy_sampling_error()
accuracy_sampling_error_components()
auroc_sampling_error()
auroc_sampling_error_components()
f1_sampling_error()
f1_sampling_error_components()
precision_sampling_error()
precision_sampling_error_components()
recall_sampling_error()
recall_sampling_error_components()
specificity_sampling_error()
specificity_sampling_error_components()
- nannyml.sampling_error.multiclass_classification module
accuracy_sampling_error()
accuracy_sampling_error_components()
auroc_sampling_error()
auroc_sampling_error_components()
f1_sampling_error()
f1_sampling_error_components()
precision_sampling_error()
precision_sampling_error_components()
recall_sampling_error()
recall_sampling_error_components()
specificity_sampling_error()
specificity_sampling_error_components()
- nannyml.sampling_error.regression module
mae_sampling_error()
mae_sampling_error_components()
mape_sampling_error()
mape_sampling_error_components()
mse_sampling_error()
mse_sampling_error_components()
msle_sampling_error()
msle_sampling_error_components()
rmse_sampling_error()
rmse_sampling_error_components()
rmsle_sampling_error()
rmsle_sampling_error_components()
- nannyml.sampling_error.binary_classification module
- Module contents
- Submodules
Submodules
- nannyml.analytics module
SegmentUsageTracker
UsageEvent
UsageEvent.CBPE_ESTIMATOR_FIT
UsageEvent.CBPE_ESTIMATOR_RUN
UsageEvent.MULTIVAR_RECONST_DRIFT_CALC_FIT
UsageEvent.MULTIVAR_RECONST_DRIFT_CALC_RUN
UsageEvent.OUTPUT_DRIFT_CALC_FIT
UsageEvent.OUTPUT_DRIFT_CALC_RUN
UsageEvent.PERFORMANCE_CALC_FIT
UsageEvent.PERFORMANCE_CALC_RUN
UsageEvent.TARGET_DISTRIBUTION_DRIFT_CALC_FIT
UsageEvent.TARGET_DISTRIBUTION_DRIFT_CALC_RUN
UsageEvent.UNIVAR_STAT_DRIFT_CALC_FIT
UsageEvent.UNIVAR_STAT_DRIFT_CALC_RUN
UsageTracker
track()
- nannyml.base module
- nannyml.calibration module
- nannyml.chunk module
- nannyml.config module
- nannyml.exceptions module
- nannyml.runner module
- nannyml.usage_logging module
SegmentUsageTracker
UsageEvent
UsageEvent.CBPE_ESTIMATOR_FIT
UsageEvent.CBPE_ESTIMATOR_RUN
UsageEvent.CBPE_PLOT
UsageEvent.CLI_RUN
UsageEvent.DLE_ESTIMATOR_FIT
UsageEvent.DLE_ESTIMATOR_RUN
UsageEvent.DLE_PLOT
UsageEvent.MULTIVAR_DRIFT_CALC_FIT
UsageEvent.MULTIVAR_DRIFT_CALC_RUN
UsageEvent.MULTIVAR_DRIFT_PLOT
UsageEvent.PERFORMANCE_CALC_FIT
UsageEvent.PERFORMANCE_CALC_RUN
UsageEvent.PERFORMANCE_PLOT
UsageEvent.UNIVAR_DRIFT_CALC_FIT
UsageEvent.UNIVAR_DRIFT_CALC_RUN
UsageEvent.UNIVAR_DRIFT_PLOT
UsageEvent.WRITE_DB
UsageEvent.WRITE_PICKLE
UsageEvent.WRITE_RAW
UsageLogger
disable_usage_logging()
enable_usage_logging()
get_logger()
log_usage()
Module contents
The NannyML library, helping you maintain model performance since 2020.
Use the library to: - Calculate drift on model inputs, outputs and ground truth - Calculate performance metrics for your model - Estimate model performance metrics in the absence of ground truth