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;
    }[];
};