How-to guides#
This is a page of how-to guides. Guides are basically answers to the “How to … with Cascade” type of questions. They should be practical and may require some background knowledge of Cascade.
If you are new to the library, you may want to start from the Tutorial page.
Pipelines#
Build a pipeline
How to build data processing pipelines with cascade.data module
Experiment tracking#
Track model training experiment
How to conduct experiments with Cascade
Use a Trainer
How to make model training even easier with Trainers
Track a file
How to log files along with saved model
Integrations#
scikit-learn
Effectively track your sklearn experiments
PyTorch
To be written soon!
Experiment management#
Link Dataset to a Model
You can link anything to anything basically
Comment on results of an experiment
Filling bare numbers with some meaning and starting discussions
Add Tags
It is about building your own system