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Neural networks in JavaScript

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import { KernelOutput } from 'gpu.js'; export interface INumberHash { [character: string]: number; } export interface INumberArray { length: number; buffer?: ArrayBuffer; [index: number]: number; } export declare type InputOutputValue = INumberArray | Partial<INumberHash>; export interface ITrainingDatum { input: InputOutputValue | InputOutputValue[] | KernelOutput; output: InputOutputValue | InputOutputValue[] | KernelOutput; } export declare type FormattableData = number | ITrainingDatum | InputOutputValue | InputOutputValue[]; export declare const lookup: { /** * Performs `[{a: 1}, {b: 6, c: 7}] -> {a: 0, b: 1, c: 2}` * @param {Object} hashes * @returns {Object} */ toTable(hashes: INumberHash[]): INumberHash; /** * Performs `[{a: 1}, {b: 6, c: 7}] -> {a: 0, b: 1, c: 2}` */ toTable2D(objects2D: INumberHash[][]): INumberHash; toInputTable2D(data: { input: { [key: string]: number; }[]; }[]): INumberHash; toOutputTable2D(data: { output: { [key: string]: number; }[]; }[]): INumberHash; /** * performs `{a: 6, b: 7} -> {a: 0, b: 1}` */ toHash(hash: INumberHash): INumberHash; /** * performs `{a: 0, b: 1}, {a: 6} -> [6, 0]` */ toArray(lookup: INumberHash, object: INumberHash, arrayLength: number): Float32Array; toArrayShort(lookup: INumberHash, object: INumberHash): Float32Array; toArrays(lookup: INumberHash, objects: INumberHash[], arrayLength: number): Float32Array[]; /** * performs `{a: 0, b: 1}, [6, 7] -> {a: 6, b: 7}` * @param {Object} lookup * @param {Array} array * @returns {Object} */ toObject(lookup: INumberHash, array: number[] | Float32Array): INumberHash; toObjectPartial(lookup: INumberHash, array: number[] | Float32Array, offset?: number, limit?: number): INumberHash; dataShape(data: FormattableData[] | FormattableData): string[]; addKeys(value: number[] | INumberHash, table: INumberHash): INumberHash; }; //# sourceMappingURL=lookup.d.ts.map