Feyn

Feyn

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›Essentials

Getting Started

  • Quick start
  • Using Feyn
  • Installation
  • Transition to Feyn 3.0
  • What is a QLattice?
  • Community edition
  • Commercial use

Essentials

  • Auto Run
  • Visualise a model
  • Summary plot
  • Semantic types
  • Categorical features
  • Estimating priors
  • Model parameters
  • Predicting with a model
  • Saving and loading models
  • Filtering models
  • Seeding a QLattice
  • Privacy

Evaluate Regressors

  • Regression plot
  • Residuals plot

Evaluate Classifiers

  • ROC curve
  • Confusion matrix
  • Plot probability scores

Understand Your Models

  • Plot response
  • Plot response 2D
  • Model signal
  • Segmented loss
  • Interactive flow

Primitive Operations

  • Using the primitives
  • Updating priors
  • Sample models
  • Fitting models
  • Pruning models
  • Diverse models
  • Updating a QLattice
  • Validate data

Advanced

  • Converting a model to SymPy
  • Setting themes
  • Saving a graph as an image
  • Using the query language
  • Model complexity

Privacy

by: Kevin Broløs
(Feyn version 3.0 or newer)

Privacy is key to us here at Abzu. Every step of the process when using a QLattice with Feyn happens locally on your machine. You can even run this without an internet connection.

In particular this means that none of your data is at any point exchanged and does not leave your machine.

← Seeding a QLatticeRegression plot →
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Feyn®, QGraph®, and the QLattice® are registered trademarks of Abzu®