FatcatCompactBinaryClassification
Fatcat ClassificationInfrastructureGoogleApi.ContentWarehouse.V1.Model.FatcatCompactBinaryClassification
SEO Analysis
AI GeneratedBackend infrastructure with indirect SEO impact. This model (Fatcat Compact Binary Classification) contains 3 attributes that define its data structure. Key functionality includes: Either binary_classifier will be set, using the enum above, or binary_classifier_name will be set, if it is not one of the classifiers in the enum - n...
Actionable Insights for SEOs
- Understanding this model helps SEOs grasp Google's internal data architecture
- Consider how this system might interact with other ranking signals
Attributes
3binaryClassifierstringnilFull type: String.tEither binary_classifier will be set, using the enum above, or binary_classifier_name will be set, if it is not one of the classifiers in the enum - never both.
binaryClassifierNamestringnilFull type: String.tdiscreteFractioninteger(nilA CompactDocClassification will not usually have a weight. For a CompactSiteClassification, this value will be 0...127 corresponding to 0.0...1.0, indicating fraction of the site that this label applies to