validmind.errors

Common base class for all non-exit exceptions.

Generic error for API request errors that are not known.

When the test suite could not be found.

When the cache_results function is missing arguments.

When the pytorch model is missing a predict function or its predict method does not have the expected arguments.

When the test suite was found but could not be initialized.

Generic error for API request errors that are not known.

When an invalid text content_id is sent to the API.

When a figure was constructed with an unsupported for_object value.

When an invalid metric results object is sent to the API.

Generic error for API request errors that are not known.

When a POST/PUT request is made with an invalid request body.

When an invalid test results object is sent to the API.

When an invalid parameters for the test.

When an invalid input object.

When an invalid Metadat (Text) object is sent to the API.

When an invalid value formatter is provided when serializing results.

When an invalid XGBoost trained model is used when calling init_r_model.

Exception raised when an error occurs while loading a test

When the class labels found in the dataset don't match the provided target labels.

Common base class for all non-exit exceptions.

When the one or more class labels are missing from provided dataset targets.

When the client config is missing the documentation template.

When a required test context variable is missing.

When the R extras have not been installed.

When data is being sent to the API but the run_cuid is missing.

When a Text object is sent to the API without a content_id.

When a Text object is sent to the API without a "text" attribute.

Common base class for all non-exit exceptions.

When the API was not able to start a test run.

When a test run is not found in the API.

When an invalid dataset is used in a test context.

When an unsupported column type is found on a dataset.

When an unsupported dataset is used.

When an unsupported figure object is constructed.

When an unsupported R model is used.

When an unsupported model is used.

When an unsupported model is used for SHAP importance.

Useful error to throw when a test cannot be executed.

Safely try to parse JSON from the response message in case the API returns a non-JSON string or if the API returns a non-standard error

Determine whether an error should be raised when fail_fast is True.