openstef_core.exceptions#
Custom exceptions for OpenSTEF core functionality.
This module defines specific exception types used throughout the OpenSTEF core package to provide clear error reporting and handling for common failure cases.
Classes#
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Exception raised for errors in configuration settings. |
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Exception raised when a flatliner is detected in the data. |
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Exception raised when a dataset is not sufficiently complete. |
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Exception raised when a DataFrame column has an invalid type. |
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Exception raised when required columns are missing from a DataFrame. |
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Exception raised when an extra is missing in the extras list. |
Exception raised when a model fails to load properly. |
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Exception raised when a model is not found in storage. |
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Exception raised when a model or a transform is used before being fitted. |
Exception raised for errors during forecasting operations. |
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Exception raised for validation errors in time series datasets. |
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Exception raised when a code path that should be unreachable is executed. |