Table 1950 "LP Machine Learning Setup"
LatePaymentPredictor · Microsoft.Finance.Latepayment
Across versions
- BC23-28not present
- BC29-30present
Neighbourhood 5 connected objects and pages
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
- OnAfterModifyEvent: Codeunit 1952 “LP Subscribers” SendTraceTagOnLatePaymentPredictionStateChanged
Procedures
GetSingleInstance()GetModelAsText(ForModel: Option): TextSetModel(ModelAsText: Text)GetModelQuality(): DecimalCheckModelQuality()CheckSelectedModelExists()MyModelExists(): BooleanStandardModelExists(): BooleanLastFeatureTableResetWasTooLongAgo(): BooleanLastBackgroundAnalysIsRecentEnough(): BooleanSaveApiUri(ApiUriText: Text[250])GetApiUri(): Text[250]SaveApiKey(ApiKeyText: SecretText)GetApiKeyAsSecret(): SecretText
Pages and codeunits on this table
- Page 1950 “LP Machine Learning Setup” (source 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.
- Codeunit 4100 “Temp Blob” (2 calls:
GetModelAsText → CreateInStream,GetModelAsText → FromRecord) - Codeunit 1951 “LP Model Management” (1 call:
GetSingleInstance → GetDefaultModelQualityThreshold)
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.