tableFinanceofficial - Microsoftderived - from the source, no model text

Table 1950 "LP Machine Learning Setup"

LatePaymentPredictor · Microsoft.Finance.Latepayment

Across versions

  1. BC23-28not present
  2. BC29-30present

Neighbourhood 5 connected objects and pages

Page 1950 "LP Machine Learning Setup" (pages and codeunits on it)LP Machine Learning SetupCodeunit 1952 "LP Subscribers" (event subscribers)LP SubscribersCodeunit 4100 "Temp Blob" (calls, 2 links)Temp BlobCodeunit 1951 "LP Model Management" (calls)LP Model ManagementPredict late payments for sales documents (Learn pages)Predict late payments for sa…

Open in the neighbourhood explorer

One hop out, from the extracted relations and call graph. Up to 40 shown; the sections below list them all.

LatePaymentPredictor · Microsoft.Finance.Latepayment · BC29-30 · source at ea08af5e · facts from BC29

Learn documents this table through its pages: Page 1950 “LP Machine Learning Setup” (1 Learn page).

Properties

Property Value
DataClassification CustomerContent
Permissions TableData “LP Machine Learning Setup” = I

Fields

Explanation: the field’s ToolTip in the code; without one, the ToolTip of a page control bound to the field (marked via the page); without that, its Caption (marked caption) when that differs from the name.

No. Name Type Explanation Notes
1 Primary Key Code[10] —
2 Make Predictions Boolean Specifies whether to use the Late Payment Prediction extension to predict if an invoice will be paid on time. via Page 1950 “LP Machine Learning Setup”
3 My Model Blob —
4 Selected Model Option 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. via Page 1950 “LP Machine Learning Setup” OptionCaption: Standard, My Model
5 My Model Quality Decimal — not editable
6 Standard Model Quality Decimal — not editable
7 Model Quality Threshold Decimal 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. via Page 1950 “LP Machine Learning Setup”
8 Use My Model Credentials Boolean 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. via Page 1950 “LP Machine Learning Setup”
9 Custom API Uri Text[250] — not editable; NotBlank
10 Custom API Key Text[200] — not editable; NotBlank
12 OverestimatedInvNo OnLastReset Integer — not editable
13 Last Feature Table Reset DateTime — not editable
14 Last Background Analysis DateTime — not editable
15 Standard Model Pdf Blob —
16 My Model Pdf Blob —
17 Posting Date OnLastML Date — not editable

Keys

  • PK: Primary Key (clustered)

Trigger event subscribers

Procedures

  • GetSingleInstance()
  • GetModelAsText(ForModel: Option): Text
  • SetModel(ModelAsText: Text)
  • GetModelQuality(): Decimal
  • CheckModelQuality()
  • CheckSelectedModelExists()
  • MyModelExists(): Boolean
  • StandardModelExists(): Boolean
  • LastFeatureTableResetWasTooLongAgo(): Boolean
  • LastBackgroundAnalysIsRecentEnough(): Boolean
  • SaveApiUri(ApiUriText: Text[250])
  • GetApiUri(): Text[250]
  • SaveApiKey(ApiKeyText: SecretText)
  • GetApiKeyAsSecret(): SecretText

Pages and codeunits on this table

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.

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: "table", object_name: "LP Machine Learning Setup"), then bcatlas_get_procedure_body or bcatlas_get_neighbors on the returned id.

Evidence 1 sources