validation#
Validation feature transforms for time series data.
This module provides transforms for data validation and quality assurance in time series datasets, including data integrity checks and validation transformations that ensure data quality before model training and inference.
Submodules#
Completeness check transform for time series datasets. |
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Flatliner check transform for time series datasets. |
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Input consistency validation for time series transforms. |
Classes#
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Transformer to check the completeness of time series load data. |
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Transformer to detect flatliner patterns in time series load data. |
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Validates input data consistency during transform operations. |