@ai-on-browser/data-analysis-models
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Data analysis model package without any dependencies
34 lines (33 loc) • 850 B
TypeScript
/**
* Negation Naive bayes
*/
export default class NegationNaiveBayes {
/**
* @param {'gaussian'} [distribution] Distribution name
*/
constructor(distribution?: "gaussian");
_labels: any[];
_rate: any[];
_p_class: typeof Gaussian;
_p: any[];
/**
* Fit model.
* @param {Array<Array<number>>} datas Training data
* @param {*[]} labels Target values
*/
fit(datas: Array<Array<number>>, labels: any[]): void;
/**
* Returns predicted categories.
* @param {Array<Array<number>>} data Sample data
* @returns {*[]} Predicted values
*/
predict(data: Array<Array<number>>): any[];
}
declare class Gaussian {
_means: any;
_vars: any;
_estimate_prob(x: any): void;
_data_prob(x: any): Matrix<number>;
}
import Matrix from '../util/matrix.js';
export {};