relaxing the anomaly detection constraints in MLOps

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I am stucked in getting this block of statement.In my serving sets there are some anomalies.

I am not getting what this below code is doing in removing the anomalies.

payer_code = tfdv.get_feature(schema, 'payer_code')
payer_code.distribution_constraints.min_domain_mass = 0.9 
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