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NEXT is a system that allows crowd-sourcing active learning. We cover some of the features NEXT provides in the Introduction section below, then start a dive into development docs.
Talks give a good brief introduction to NEXT at the highest level. For scientists and develoeprs, we most recommend the PyData Ann Arbor talk. It's an enhanced and refined version of the SciPy talk.
|PyData Ann Arbor||Scientists and developers||1 hour||https://www.youtube.com/watch?v=rTyu4QTXZTc|
|SciPy 2017||Scientific Python developers||30 minutes||https://www.youtube.com/watch?v=blPjDYCvppY|
|Simons Institute conference on Interactive Learning||Machine learning researchers||30 minutes||https://youtu.be/ESXgbZQ1ZTk?t=1732|
We give more detail on the items on launching experiments and getting setup in the SciPy 2017 proceedings: http://conference.scipy.org/proceedings/scipy2017/pdfs/scott_sievert.pdf.
After launching NEXT, be sure to visit
[next-url]:8000/home which provides
links further app argument documentation, the experiment list and dashboards!
Introduction, which describes some of the motivation and features of NEXT
- Introduction: an introduction to the NEXT system and how to use it for active learning experiments. This includes links to video that explain NEXT to active machine learning researchers.
- Starting NEXT, which explains what you see when you launch and where to find documentation.
- NEXT developer overview including basic terminology, a basic overview of the 5 necessary functions, the built-in apps/interfaces and the folder layout.
- Experiment Monitoring provides an overview of the tools NEXT provides to help you to monitor experiments in real time.
Running NEXT. There are several options available to run NEXT available. visit
http://[next-url]:8000/home! This provides more documentation, access to the dashboards and system monitors.
Experiment launch, method to initialize an experiment.
Development basics, the dataflow and debug process
- NEXT-Basics, which (briefly) describes the different parts of NEXT
- Basic-Algorithms a description of the 4 key functions needed
- New-Application. Do you need to develop a new application or interface for your users? Read this first.
- Detailed data flow: what gets called when with what arguments?
- NEXT overview that we will use when describing the below points.
- Locations of a particular app (what files live where?) and a description of each file.
- Interface to the apps and the Algorithm-Interface.
- Framework-Apps walks through app development and the necessary functions
- Framework-Algs walks through algorithm development and the necessary functions
- Dashboard development, including how to customize and view visualizations
- Widgets or the user facing HTML
- Testing, how we validate and time each algorithm
- Checklist for developing your own app/alg in NEXT.
- Using Redis:
- Diving a bit deeper: Celery workers
- Using Redis: