Dguipla/TFM-SemiSup
Semisupervised classification methods (SSC) with Spark-ML, study and implementation
Jupyter NotebookApache-2.0
Issues
- 0
Reunión seguimiento
#43 opened by alvarag - 0
Completar resultados con powerBI
#46 opened by Dguipla - 14
Crear una biblioteca de Spark
#47 opened by alvarag - 2
Dashboard publicado online con PowerBI
#48 opened by Dguipla - 3
Scatter - Duda (Keel vs Spark)
#44 opened by Dguipla - 0
Parte 5 (Resultados y Memoria Final)
#42 opened by Dguipla - 0
Parte 4 (Co-Training Implementacion)
#37 opened by Dguipla - 0
Parte1(Estudio y Documentacion)
#4 opened by Dguipla - 0
- 0
- 0
- 1
CoTraining
#36 opened by Dguipla - 0
- 1
Parte2 (Spark ClassificadoresBase)
#8 opened by Dguipla - 5
- 0
Documentacion/Papers (Estado del arte) 2
#15 opened by Dguipla - 0
Parte 5 Resultados
#40 opened by Dguipla - 0
Overleaf - Memoria - Compartida
#39 opened by Dguipla - 1
Duda - Paper Triguero-Garcia-Herrera (Keel) y sus implementaciones para poder comparar con Spark y Self/CoTraining
#38 opened by Dguipla - 0
- 0
Crear Class para los datos de SemiSupervisado
#34 opened by Dguipla - 0
- 0
- 0
Self Trainning --> Implementacion de pipeline para cada Conjunto de datos + modelo SelfTrainnig
#31 opened by Dguipla - 16
Crear la clase del "desetiquetador"
#33 opened by alvarag - 0
SelfTraining --> Lanzamiento de todos los Pipelines + SelfTraining- modelos (para cada clasificador :DT, LR....)
#32 opened by Dguipla - 1
Seleccion conjunto de datos
#14 opened by Dguipla - 0
- 0
- 0
- 0
ClasificadoresBase - Implementacion Pipeline +Funcion (reutilizables)para todos los clasificadores (DT,RF,NB...)
#10 opened by Dguipla - 0
Nueva Clase para SelfTraining
#30 opened by Dguipla - 0
- 0
Documentación/Papers (Estado del arte) 1
#3 opened by Dguipla - 0
- 0
- 0