@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
73 lines (72 loc) • 2.54 kB
TypeScript
/**
* @license
* Copyright 2017 Google Inc. 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.
* =============================================================================
*/
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;
}