dotnet / dotnet/machinelearning-modelbuilder
NER MODEL BUILDING ERROR
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Descripción
**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
Guía de contribución
No hay ninguna guía de contribución indexada para este repositorio
Línea de trabajo
El issue no menciona archivos fuente, pruebas ni puntos de entrada. Empieza reproduciendo la compilación del modelo NER con los datos de entrenamiento proporcionados e inspecciona cómo se asigna la columna Label a Microsoft.ML.Data.VBuffer. Se considera terminado cuando los datos proporcionados pueden compilar un modelo NER sin el error de asignación indicado.
Escrito por el modelo de indexación a partir del texto del issue.
Evaluación
- Stack tecnológico
- csharp, machine-learning
- Área
- machine-learning
- Tipo de issue
- Error
- Dificultad
- 4/5
- Tiempo estimado
- 3-5 días
- Estado de actividad
- Estancado
- Claridad
- Necesita aclaración
- Aptitud para principiantes
- 25/100