Feyn Documentation

Feyn Documentation

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›Advanced

Getting Started

  • Quick start
  • Using Feyn
  • Installation
  • What is the QLattice?

Essentials

  • Auto Run
  • Summary plot
  • Plot response
  • Splitting a dataset
  • Seeding a QLattice
  • Predicting with a model
  • Saving and loading models
  • Categorical features

Evaluate Regressors

  • Regression plot
  • Residuals plot

Evaluate Classifiers

  • ROC curve
  • Confusion matrix
  • Plot probability scores

Understand Your Models

  • Plot response 1D
  • Plot response 2D
  • Model signal
  • Segmented loss
  • Interactive flow

Primitive Operations

  • Using the primitives
  • Updating priors
  • Sample models
  • Fitting models
  • Pruning models
  • Visualise a model
  • Diverse models
  • Updating a QLattice
  • Validate data
  • Semantic types

Advanced

  • Converting a model to SymPy
  • Logging in Feyn
  • Setting themes
  • Saving a graph as an image
  • Using the query language
  • Estimating priors
  • Filtering models
  • Model parameters
  • Model complexity

Privacy & Commercial

  • Privacy
  • Community edition
  • Commercial use
  • Transition to Feyn 3.0

Saving a graph as an image

by: Kevin Broløs
(Feyn version 3.0 or newer)


Feyn models are represented as graphs in SVG and they can be saved to disk using the savefig function on the Model.

Example

import feyn
ql = feyn.QLattice()
models = ql.sample_models(['Hello'], 'World')

model = models[0]

model.savefig('model.svg')

a graph image

← Setting themesUsing the query language →
  • Example

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