@modelx/modelx
Version:
Construct AI & ML models with JSON using Typescript & Tensorflow
62 lines (61 loc) • 1.89 kB
TypeScript
import * as ModelXDataTypes from '@modelx/data/src/DataSet';
import * as features from './features';
export declare type Fake = {
[index: string]: any;
};
export declare const Faker: Fake;
export declare function randomNumber(min: number, max: number): number;
export declare function generateNumberRange(start: number, end: number): number[];
export declare function getDatum(customDate?: Date, customTransation?: {
amount?: number;
late_payments?: boolean;
}): any;
export declare function getData(items: number): any[];
export declare const timeseriesSort: (a: ModelXDataTypes.Datum, b: ModelXDataTypes.Datum) => number;
export declare function getMockTimeseries(): {
timeseriesData: any[];
independent_variables: string[];
dependent_variables: string[];
input_independent_features: {
feature_field_name: string;
feature_field_type: features.AutoFeatureTypes;
}[];
prediction_inputs: any[];
};
export declare function getMockRegression(): {
data: {
input_1: number;
input_2: number;
input_3: number;
ignored_1: number;
output_1: number;
output_2: number;
}[];
independent_variables: string[];
dependent_variables: string[];
prediction_inputs: {
input_1: number;
input_2: number;
input_3: number;
ignored_1: number;
}[];
};
export declare function getMockClassification(): {
data: {
walking_noise_level: number;
primary_sound: string;
secondary_sound: string;
weight: number;
ear_style: string;
animal: string;
}[];
independent_variables: string[];
dependent_variables: string[];
prediction_inputs: {
walking_noise_level: number;
primary_sound: string;
secondary_sound: string;
weight: number;
ear_style: string;
}[];
};