import IndustryWidePredictionService from 'pvbid-sdk/src/domain/services/IndustryWidePredictionService.js'

public class | source

IndustryWidePredictionService

Constructor Summary

Public Constructor
public	constructor(lineItem: LineItem) Constructor

Member Summary

Public Members
public	bid: *
public	distributionRanges: number[]
public	industryWidePredictionModels: *
public	lineItem: *
public	models: *
public	zFactor: number

Method Summary

Public Methods
public	evaluateModel(model: object): EvaluatedModel Evaluates a single prediction model
public	evaluateModels(models: object[]): number Evaluates all the given models and returns a weighted average of the significant results
public	evaluateModelsExperimental(models: object[]): number Evaluate the models using an experimental weighting
public	getContributionWeight(): number Retrieves the contribution weight for the line item
public	getCostPredictionModels(): Object[] Retrieves a list of cost prediction models
public	getDistributionRanges(): number[] Returns the distribution ranges
public	getLaborPredictionModels(): Object[] Retrieves a list of labor prediction models
public	getPredictionDependencies(): bidEntity[] Gets the dependencies used in the prediction models for the given line item def id
public	hasPredictionModels(): boolean Determine if the line item has any prediction models

Public Constructors

public constructor(lineItem: LineItem) source

Constructor

Params:

Name	Type	Attribute	Description
lineItem	LineItem

Public Members

public bid: * source

public distributionRanges: number[] source

public industryWidePredictionModels: * source

public lineItem: * source

public models: * source

public zFactor: number source

Public Methods

public evaluateModel(model: object): EvaluatedModel source

Evaluates a single prediction model

Params:

Name	Type	Attribute	Description
model	object		A prediction model to evaluate

Return:

EvaluatedModel

The result of evaluating the model

public evaluateModels(models: object[]): number source

Evaluates all the given models and returns a weighted average of the significant results

Params:

Name	Type	Attribute	Description
models	object[]		The models to evaluate

Return:

number

The weighted avg of evaluating the given models

public evaluateModelsExperimental(models: object[]): number source

Evaluate the models using an experimental weighting

Params:

Name	Type	Attribute	Description
models	object[]

Return:

number

public getContributionWeight(): number source

Retrieves the contribution weight for the line item

Return:

number

The contribution weight

public getCostPredictionModels(): Object[] source

Retrieves a list of cost prediction models

Return:

Object[]

cost prediction models

public getDistributionRanges(): number[] source

Returns the distribution ranges

Return:

number[]

The distribution ranges

public getLaborPredictionModels(): Object[] source

Retrieves a list of labor prediction models

Return:

Object[]

labor prediction models

public getPredictionDependencies(): bidEntity[] source

Gets the dependencies used in the prediction models for the given line item def id

Return:

bidEntity[]

The prediction model dependencies

public hasPredictionModels(): boolean source

Determine if the line item has any prediction models

Return:

boolean