dotnet / dotnet/machinelearning-modelbuilder

NER MODEL BUILDING ERROR

Abierto
#2,941 0 comentarios 0 reacciones 0 asignados Ver en GitHub
Lenguaje dominante
Dockerfile
Estrellas
285
Forks
66
Métricas de merge de PR
Sin PR fusionados en 30 d

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

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