Class SemiSupervisedNaiveBayes

Semi-supervised naive bayes

Index

Constructors

Properties

_alpha _classes _labeled_data _labels _lambda _prob_c _prob_wc _unlabeled_data _vocabulary

Methods

fit init logLikelihood predict probability

Constructors

constructor

new SemiSupervisedNaiveBayes(lambda?: number): SemiSupervisedNaiveBayes
Parameters
- Optionallambda: number
  Weight applied to the contribution of the unlabeled data
Returns SemiSupervisedNaiveBayes
- Defined in lib/model/semi_supervised_naive_bayes.d.ts:8

Properties

_alpha

_alpha: number

_classes

_classes: any[]

_labeled_data

_labeled_data: { i: any[]; w: any[] }

_labels

_labels: any[]

_lambda

_lambda: number

_prob_c

_prob_c: any[] | number[]

_prob_wc

_prob_wc: any[] | number[][]

_unlabeled_data

_unlabeled_data: { i: any[]; w: any[] }

_vocabulary

_vocabulary: any[]

Methods

fit

fit(): void
Fit model.

Returns void
- Defined in lib/model/semi_supervised_naive_bayes.d.ts:33

init

init(datas: string[][], labels: any[]): void
Initialize model.
Parameters
- datas: string[][]
  Training data
- labels: any[]
  Target values
Returns void
- Defined in lib/model/semi_supervised_naive_bayes.d.ts:16

logLikelihood

logLikelihood(): number
Returns predicted categories.

Returns number
Log likelihood value
- Defined in lib/model/semi_supervised_naive_bayes.d.ts:44

predict

predict(datas: string[][]): any[]
Returns predicted categories.
Parameters
- datas: string[][]
  Sample data
Returns any[]
Predicted values
- Defined in lib/model/semi_supervised_naive_bayes.d.ts:50

probability

probability(datas: string[][]): number[][]
Returns predicted probabilities.
Parameters
- datas: string[][]
  Sample data
Returns number[][]
Predicted values
- Defined in lib/model/semi_supervised_naive_bayes.d.ts:39