Page 1950 "LP Machine Learning Setup"

LatePaymentPredictor · Microsoft.Finance.Latepayment · captioned “Late Payment Prediction Setup” · BC29-30 · source at ea08af5e · facts from BC29

Properties

Property	Value
Caption	Late Payment Prediction Setup
SourceTable	LP Machine Learning Setup
PageType	Card
UsageCategory	Administration
ApplicationArea	Basic, Suite

Fields on this page

Layout controls in source order, grouped by the container they sit in. Shows: the table field a control is bound to (or its expression as written); ToolTip: the control’s own, else the bound field’s (marked).

Group	Control	Shows	ToolTip
General	Enable Predictions	Make Predictions	Specifies whether to use the Late Payment Prediction extension to predict if an invoice will be paid on time.
	SelectedModel	Selected Model	Specifies the predictive model to use. This can be the standard model that we provide, or your own custom model if you have created one by using the Create My Model action.
	ThresholdModelQuality	Model Quality Threshold	Specifies the minimum model quality you require. The value is a percentage between zero and one, and indicates how accurate predictions will be. Typically, this field is useful when you create a custom model. If the quality of a model is below this threshold, it will not be used.
	Model Quality	`ModelQualityVal`	Specifies the quality value for the model you are using. For custom models, the predictive experiment determines this value when training the model. The value is a percentage between zero and one, and indicates how accurate predictions will be.
Usage	Remaining Compute Time	`RemainingTime`	Specifies the number of seconds of compute time that you have not yet used.
	Original Compute Time	`AzureAIUsage.GetResourceLimit(AzureAIService)`	Specifies the number of seconds of compute time that was originally available for the standard model, or the model for your custom experiment.
	Date of Last Compute	`AzureAIUsage.GetLastTimeUpdated(AzureAIService)`	Specifies the date on which you last used Azure compute time.
	Use My Azure Subscription	Use My Model Credentials	Specifies that you use a model that you created, rather than the standard model that we provide. To use your model, you must provide your API URI and API Key. You must also choose My Model in the Selected Model field in the Late Payment Prediction Setup window.
Use My Azure Subscription	API URI	`ApiURIText`	Specifies that you use your own Azure Machine Learning subscription, rather than the subscription you get through Business Central. For example, this is useful when you need more computing time. To use your subscription, provide your API URI and API key. You must also choose My Model in the Selected…
	API Key	`ApiKeyText`	Specifies the API key to connect to the Azure Machine Learning service

Actions

Group	Action	ToolTip
Processing	Create My Model	Send your data to our predictive experiment and we will prepare a predictive model for you. To use your predictive model, choose My Model in the Selected Model field.
	Evaluate Selected Model	Send your data to our predictive experiment and we will test the selected predictive model for you.
	Schedule Payment Prediction	Define when payment predictions are updated by setting up the related job queue entry in the Job Queue Entry Card window.
	Update Payment Predictions	Update the late payment predictions for all invoices. Predictions are available only if the Late Payment Prediction extension is enabled.
	Visualize Model	Visualize the model and display it.

Trigger event subscribers

OnOpenPageEvent: Codeunit 1956 “LPP Scheduler” OnOpenLPMachineLearningSetup

Procedures

2 local procedures, no public ones.

Triggers

OnOpenPage, OnQueryClosePage, OnAfterGetRecord

Relations

source table Table 1950 “LP Machine Learning Setup”

Calls

From the extracted call graph of BC29 (graphify-al on the snapshot checkout): calls whose target is known from a declared type or an Object::"Name" argument. Interface dispatch and calls through events are not counted, so the list is not complete.

Codeunit 2006 “Azure AI Usage” (2 calls: OnAfterGetRecord → GetResourceLimit, OnAfterGetRecord → GetTotalProcessingTime)
Codeunit 1956 “LPP Scheduler” (1 call: OnOpenPage → JobQueueEntryCreationInProcess)

Called by

Codeunit 1950 “LP Prediction Mgt.” (1 call: IsEnabled → (object))

Documented on Microsoft Learn

Predict late payments for sales documents

Source: AL metadata extracted from the code (names, ids, signatures, properties); no code bodies (D10).

Ask your agent

Procedure bodies are not stored here (D10). The call sections above are our own, per object, from the BC29 call graph. For a procedure body or the calls of one procedure, ask bc-code-atlas (external, by Stefan Maron, MIT; default corpus w1-28), which the bc-observatory plugin connects: bcatlas_resolve_node(object_type: "page", object_name: "LP Machine Learning Setup"), then bcatlas_get_procedure_body or bcatlas_get_neighbors on the returned id.