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#
How to build data processing pipelines with cascade.data module
Experiment tracking#
How to conduct experiments with Cascade
How to make model training even easier with Trainers
How to log files along with saved model
CLI#
Some things are more convenient when done in command line
Just like with database, but without database
Integrations#
Effectively track your sklearn experiments
To be written soon!
Experiment management#
You can link anything to anything basically
Filling bare numbers with some meaning and starting discussions
It is about building your own system