@tensorflow/tfjs-core/dist/ops/rand_util.d.ts

Hardware-accelerated JavaScript library for machine intelligence

/**
 * @license
 * Copyright 2018 Google LLC. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 * =============================================================================
 */
/// <amd-module name="@tensorflow/tfjs-core/dist/ops/rand_util" />
import { TypedArray } from '../types';
export interface RandomBase {
    nextValue(): number;
}
export interface RandomGamma {
    nextValue(): number;
}
export interface RandNormalDataTypes {
    float32: Float32Array;
    int32: Int32Array;
}
export interface RandGammaDataTypes {
    float32: Float32Array;
    int32: Int32Array;
}
export declare class MPRandGauss implements RandomBase {
    private mean;
    private stdDev;
    private nextVal;
    private dtype?;
    private truncated?;
    private upper?;
    private lower?;
    private random;
    constructor(mean: number, stdDeviation: number, dtype?: keyof RandNormalDataTypes, truncated?: boolean, seed?: number);
    /** Returns next sample from a Gaussian distribution. */
    nextValue(): number;
    /** Handles proper rounding for non-floating-point numbers. */
    private convertValue;
    /** Returns true if less than 2-standard-deviations from the mean. */
    private isValidTruncated;
}
export declare class RandGamma implements RandomGamma {
    private alpha;
    private beta;
    private d;
    private c;
    private dtype?;
    private randu;
    private randn;
    constructor(alpha: number, beta: number, dtype: keyof RandGammaDataTypes, seed?: number);
    /** Returns next sample from a gamma distribution. */
    nextValue(): number;
    /** Handles proper rounding for non-floating-point numbers. */
    private convertValue;
}
export declare class UniformRandom implements RandomBase {
    private min;
    private range;
    private random;
    private dtype?;
    constructor(min?: number, max?: number, dtype?: keyof RandNormalDataTypes, seed?: string | number);
    /** Handles proper rounding for non floating point numbers. */
    private canReturnFloat;
    private convertValue;
    nextValue(): number;
}
export declare function jarqueBeraNormalityTest(values: TypedArray | number[]): void;
export declare function expectArrayInMeanStdRange(actual: TypedArray | number[], expectedMean: number, expectedStdDev: number, epsilon?: number): void;