GUIDE
DEPLOY
INTRODUCTION
EXAMPLES
API REFERENCE
lib.sedna.algorithms
lib.sedna.backend
lib.sedna.backend.mindspore
lib.sedna.backend.tensorflow
lib.sedna.backend.torch
lib.sedna.backend.base
lib.sedna.common
lib.sedna.core
lib.sedna.datasources
lib.sedna.service
lib.sedna.__version__
Contributing
ROADMAP
lib.sedna
BackendBase
ML Framework Backend base Class
Train model.
Update model.
Inference model.
Compute probabilities of possible outcomes for samples in X.
evaluate model.
Set weight with memory tensor.
Get the weights.