Be clear about your current understanding. Let the person know if you don’t quite grasp the issue or if you only understand part of it. State Your Current Understanding Next, state your current understanding of the situation. Clarification: 1 Mark Example: 1 Mark When a homologous pair of chromosome fails to split during gamete formation, one gamete has an extra chromosome while. If you have to use SageMaker Python SDK API, then a workaround is appending additional facets to the analysis config (not recommended but currently there is no better way),īias_config = clarify.BiasConfig(label_values_or_threshold=,īias_config.analysis_config. For example: Dear Name, Thank you for providing the detailed information about Topic X. If you use Processing Job API and compose the analysis_config.json by yourself, you can append a list of facet objects to the facet configuration entry (see Configure the Analysis). Similarly, if I want to detect bias in for multiple facets (i.e 'Sex' and 'Age'), would I need to run the bias detection job for each facet_name?Ĭlarify supports multiple facets in a single run, although the configuration is not exposed by the SageMaker Python SDK API. An example of to clarify is cook butter and skim off the foam.Similarly, if we wanted to detect bias in for multiple facets (i.e 'Sex' and 'Age'), would we need to run the bias detection job for each facet_name? Label is N tags to describe the web page is about. By multi-tags I mean, for example, a dataset like below.įeatures are N sentences extracted from a web page be used by an institution as it attempts to clarify a. Would we need to re-run the job, each time for a different label?īy "multi-label" do you mean "categorical" label or "multi-tags" label?Ĭlarify supports categorical label, for example, if label value is one of enums "Dog", "Cat", "Fish", then you can specify label_values_or_threshold= and Clarify will split the dataset into advantaged group (samples with label value "Dog" or "Cat") and disadvantaged group (samples with label value "Fish").Ĭlarify doesn't support multi-tags label. difference between a clarified request and a nar- rowed request.
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How would we use it to detect bias on multi-label dataset? (I tried label_values_or_threshold= but it didn't work). H.R.1133 - To clarify that the scope of the National Endowment for the Humanities includes the study of civics and government.
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