dotnet / dotnet/machinelearning-modelbuilder
NER MODEL BUILDING ERROR
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Beschreibung
**System Information (please complete the following information):**
- NER
*Error*
- Cannot map column (name: Label, type: Key) in data to the user-defined type, Microsoft.ML.Data.VBuffer`1[System.UInt32].
Parameter name: column
Key Frames
------------
PERSON
ORG
LOCATION
DATE
Training Data
----------------------
John Doe works at OpenAI. PERSON
John Doe works at OpenAI. PERSON
John Doe works at OpenAI. O
John Doe works at OpenAI. O
John Doe works at OpenAI. ORG
Jane Smith lives in New York. PERSON
Jane Smith lives in New York. PERSON
Jane Smith lives in New York. O
Jane Smith lives in New York. O
Jane Smith lives in New York. LOCATION
Jane Smith lives in New York. LOCATION
The event is on July 4th, 2024. O
The event is on July 4th, 2024. O
The event is on July 4th, 2024. O
The event is on July 4th, 2024. O
The event is on July 4th, 2024. DATE
The event is on July 4th, 2024. DATE
The event is on July 4th, 2024. DATE
Microsoft was founded by Bill Gates and Paul Allen. ORG
Microsoft was founded by Bill Gates and Paul Allen. O
Microsoft was founded by Bill Gates and Paul Allen. O
Microsoft was founded by Bill Gates and Paul Allen. O
Microsoft was founded by Bill Gates and Paul Allen. PERSON
Microsoft was founded by Bill Gates and Paul Allen. PERSON
Microsoft was founded by Bill Gates and Paul Allen. O
Microsoft was founded by Bill Gates and Paul Allen. PERSON
Microsoft was founded by Bill Gates and Paul Allen. PERSON
Beitragsleitfaden
Für dieses Repository ist kein Beitragsleitfaden indexiert
Rechercherichtung
Der Issue nennt keine Quelldateien, Tests oder Einstiegspunkte. Beginne damit, den Build des NER-Modells mit den bereitgestellten Trainingsdaten zu reproduzieren, und untersuche, wie die Label-Spalte Microsoft.ML.Data.VBuffer zugeordnet wird. Als erledigt gilt, wenn die bereitgestellten Daten ein NER-Modell ohne den gemeldeten Zuordnungsfehler erstellen können.
Vom Indexierungsmodell aus dem Issue-Text verfasst.
Bewertung
- Tech-Stack
- csharp, machine-learning
- Bereich
- machine-learning
- Issue-Typ
- Bug
- Schwierigkeit
- 4/5
- Geschätzter Aufwand
- 3-5 Tage
- Aktivitätsstatus
- Veraltet
- Klarheit
- Muss geklärt werden
- Anfängerfreundlichkeit
- 25/100