Class MaximumLikelihoodEstimator

Maximum likelihood estimator

Index

Constructors

Properties

_distribution _m _s

Methods

fit predict probability

Constructors

constructor

new MaximumLikelihoodEstimator(
distribution?: "normal",
): MaximumLikelihoodEstimator
Parameters
- Optionaldistribution: "normal"
  Distribution name
Returns MaximumLikelihoodEstimator
- Defined in lib/model/maximum_likelihood.d.ts:8

Properties

_distribution

_distribution: "normal"

_m

_m: any

_s

_s: any

Methods

fit

fit(x: number[][]): void
Fit model.
Parameters
- x: number[][]
  Training data
Returns void
- Defined in lib/model/maximum_likelihood.d.ts:14

predict

predict(x: number[][]): number[]
Returns probability of the data.
Parameters
- x: number[][]
  Sample data
Returns number[]
Predicted values
- Defined in lib/model/maximum_likelihood.d.ts:28

probability

probability(x: number[][]): number[]
Returns probability of the data.
Parameters
- x: number[][]
  Sample data
Returns number[]
Predicted values
- Defined in lib/model/maximum_likelihood.d.ts:22