Feyn

Feyn

  • Tutorials
  • Guides
  • API Reference
  • FAQ

›Using Feyn

Getting Started

  • Quick Start

Using Feyn

  • Introduction to the basic workflow
  • Asking the right questions
  • Formulate hypotheses
  • Analysing and selecting hypotheses
  • What comes next?

Essentials

  • Defining input features
  • Classifiers and Regressors
  • Filtering a QGraph
  • Predicting with a graph
  • Inspection plots
  • Saving and loading graphs
  • Updating your QLattice

Setting up the QLattice

  • Installation
  • Accessing your QLattice
  • Firewalls and proxies
  • QLattice dashboard

Advanced

  • Causal estimation
  • Converting a graph to SymPy
  • Feature importance estimation
  • Setting themes
  • Saving a graph as an image
  • Tuning the fitting process

Future

  • Future package
  • Diagnostics
  • Inspection
  • Reference
  • Stats

Introduction to the basic workflow

by: Kevin Broløs & Meera Machado

At Abzu, we put the scientific method at the core of our workflow, and use this approach to understand data, generate hypotheses and validate the findings against the actual observations.

The scientific method can be summed up in short with a diagram like the one below:

The Scientific Method

In summary, using Feyn and the QLattice would look something like this:

Scientific MethodIn practice
Formulation of questionDetermine what your research question is.
HypothesiseUse the QLattice to generate possible hypotheses that answer your question and fit graphs.
PredictionDetermine how your graph predicts existing data and plot what the graph tells you about the things you haven't seen before.
TestingTake your hypothesis to the lab, real life, or validate it on a holdout set, depending on your needs and capabilities.
AnalysisAccept or reject a hypothesis based on the graphs you select and the results you get from your experiments.
← Quick StartAsking the right questions →
Copyright © 2021 Abzu.ai