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Types ¶
type Output ¶
type Output struct { // Labels is a slice of labels (classes) used for deciding where to place new // data. Labels []string `json:"labels"` // CasesTotal is the number of entities collected during training. CasesTotal float64 `json:"casesTotal"` // LabelCases is the number of entities partitioned to their corresponding // labels during training. LabelCases map[string]float64 `json:"labelCases"` // FeatureCases is the entities from training paritioned by separate // features. FeatureCases map[string]map[string]map[string]float64 `json:"featureCases"` }
Output is a printing/serializing friendly presentation of data from private fields of Bayes implementation.
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