Change Log

All notable changes to this project are documented in this file. Each heading has a format of <version> - <date> where the date format is YYYY-MM-DD.

20.2.0 - 2020-10-07

• New nodes

  • Neural Network Regressor

• Add progress bars to nodes

• Add resource monitor to app

• Documentation improvements

20.1.1 - 2020-08-19

• Fix wizard node spacing

• Fix multiplot and numpy sum nodes

• Update wavelets example

• Documentation fixes

• Change normed keyword in matplotlib hist call to density

• include this change log in the documentation

20.1.0 - 2020-08-13

• New nodes

  • Residual Function

  • Generic Model Creator

  • Sample Aggregator

  • Sample Filter

  • Queue Submission

• Response Surface Node

  • Add preprocessing tools

  • Add more response methods from scikits-learn

    • gradient boosting

  • Expose more model options

  • Add ability to repeated fit models and determine errors with cross validation

  • Add compare plot for plotting error metrics of the various response methods

  • On the 3D plot, allow user to change the values at which the response surface is evaluated at.

• Optimization Node

  • Expose more optimizer options

  • Add Parallel plot for visualizing optimization attempts

• Sensitivity Analysis Node

  • Fix SALib imports

  • Add options to plot

• Overhaul seaborn nodes

• Code Node

  • Use custom Qt based text editor

  • Address global variable issues

• Various bug fixes

• Documentation

19.1.1 - 2019-04-15

• removed pyearth from dependencies

• build mfix-plguin doc

• fix links

• add video

19.1.0 - 2019-04-11

• Design of Experiments (DOE)

  • Support geometry parametrization inside MFiX

  • Added genetically optimized latin-hypercube

  • Correctly implemented central composite

  • Include/exclude samples

  • Import/export samples

• Response Surface Methods (RSM)

  • Supports multiple matrix/response inputs

  • 11 response surface methods available

    • from scikits-learn library:

      • polynomial (with 16 different regressors)

      • Gaussian process model (GPM)

      • multilayer perceptron

      • support vector

      • decision tree

      • random forest

  • from scipy library

    • radial basis function (RBF)

    • nearest

    • cubic

    • linear

  • from pyearth library

    • multivariate adaptive regression splines (MARS)

  • Support fitting multiple models at the same time

  • Assess the quality of the surrogate models constructed through various statistical error metrics calculated and user selectable cross-validation process.

  • Offer the user the selection of which response surface model to be used in the rest of the workflow

• Optimization

  • Exposed 10 optimization methods in scipy library instead of hard-coding them, including differential evolution

  • “optimize” multiple times with random guesses inside the model space

  • Export results

• Sensitivity Analysis (SA)

  • Exposed all 5 sensitivity analysis methods implemented in SALib

• Forward propagation of input uncertainties

  • Handles 7 different type probability density functions (PDF) and user-prescribed distributions for aleatory uncertainties

  • Use any of the DOE methods for epistemic uncertainty

  • Exports the bounds to a file

  • Verified against Ishigami example.

• Wizard

  • Automatically add and connect nodes for common use cases including

    • Sensitivity analysis

    • Forward propagation of uncertainty

    • Optimization

  • Includes 17 test functions

17.1.1 - 2017-12-14

• Improve performance with qt 4.8 and python 2.7

• Remove setTextInteractionFlags flag (only available with Qt 5.1+)

• Include examples (nc files, code node repo, nodes, and nodewidget usage)

• Minor documentation fixes

• Windows menu and desktop icons are now created

• Fixed issue #45, QtWidgets.QTabBar.RightSide error on Mac

17.1.0 - 2017-12-11

First public release of nodeworks.