NeurEco User Manual

Welcome to the NeurEco documentation.

• NeurEco overview
  • A break from the state-of-the-art
  • NeurEco solutions
    • How it works in practice?
    • Available NeurEco Templates
      • NeurEco Tabular
        • Tabular Regression
        • Tabular Classification
        • Tabular Compression
      • NeurEco Discrete Dynamic
• Installing NeurEco
  • Installing NeurEco on Windows
  • Installing NeurEco on Linux Debian
  • Installing NeurEco on RedHat
  • Installing NeurEco on MacOS
• QuickStart guide
  • Getting started with NeurEco
    • Installation
    • Using NeurEco
      • NeurEco Tabular Regression quickstart tutorial
        • Quickstart: Tabular Regression with the Graphical User Interface
        • Quickstart: Tabular Regression with the Python API
        • Quickstart: Tabular Regression with the command line interface
      • NeurEco Tabular Classification quickstart tutorial
        • Quickstart: Tabular Classification with the Graphical User Interface
        • Quickstart: Tabular Classification with the Python API
        • Quickstart: Tabular Classification with the command line interface
      • NeurEco Tabular Compression quickstart tutorial
        • Quickstart: Tabular Compression with the Graphical User Interface
        • Quickstart: Tabular Compression with the python API
        • Quickstart: Tabular Compression with the command line interface
      • NeurEco Discrete Dynamic quickstart tutorial
        • Quickstart: Discrete Dynamic with the Graphical User Interface
        • Quickstart: Discrete Dynamic with the Python API
        • Quickstart: Discrete Dynamic with the command line interface
  • NeurEco best practices
    • Validation data: The foundation
    • Normalization is important: Choose wisely
    • Explore Checkpoints
• Using NeurEco
  • Tabular
    • Tabular Regression
      • Tabular Regression with the GUI
        • Start a GUI NeurEco Regression project
        • Data preparation for NeurEco Regression with GUI
        • Build NeurEco Regression model with the GUI
          • Build parameters
          • Advanced parameters
          • Data normalization for Tabular Regression
          • Particular cases of Build for a Tabular Regression
            • Select a model from a checkpoint and improve it
            • Limit the size of the NeurEco model during Build
        • Evaluate NeurEco Regression model with the GUI
        • Export NeurEco Regression model with the GUI
        • Plot a NeurEco network
        • Sensitivity analysis for Tabular solutions
          • Sensitivity analysis for a single sample
          • Sensitivity analysis for a whole dataset
        • Input sweep with the GUI
        • Metrics for the Tabular Regression model with GUI
        • Export Tabular Regression from the GUI to the Python API
        • Illustrative test cases for Tabular Regression
          • Metamaterial Antennas
          • Energy consumption
        • Tutorial: using NeurEco GUI for a Tabular Regression problem
        • Tutorial: resume the Build of a Tabular model with the GUI
      • Tabular Regression with the Python API
        • Introduction to the Python API for NeurEco Regression
        • Data preparation for NeurEco Regression with the Python API
        • Build NeurEco Regression model with the Python API
          • Data normalization for Tabular Regression
          • Particular cases of Build for a Tabular Regression
            • Select a model from a checkpoint and improve it
            • Limit the size of the NeurEco model during Build
        • Evaluate NeurEco Regression model with the Python API
        • Export NeurEco Regression model with the Python API
        • Plot a NeurEco network
        • Input sweep
        • Compute gradients
        • Convert a NeurEco Regression model to a Keras model
        • Illustrative test cases for Tabular Regression
          • Metamaterial Antennas
          • Energy consumption
        • Tutorial: using NeurEco Python API for a Tabular Regression problem
          • Build a model
          • Evaluate a model
        • Tutorial: compute gradients
        • Tutorial: control the size of a network
          • Impose the maximum number of links
          • Select a model from a checkpoint
        • Tutorial: converting a NeurEco Regression model to a Keras model
        • Tutorial: using NeurEco with MATLAB
      • Tabular Regression with the command line interface
        • Data preparation for NeurEco Regression with the command line interface
        • Build NeurEco Regression model with the command line interface
          • Building parameters
          • Data normalization for Tabular Regression
        • Evaluate NeurEco Regression model with the command line interface
        • Export NeurEco Regression model with the command line interface
        • Illustrative test cases for Tabular Regression
          • Metamaterial Antennas
          • Energy consumption
        • Tutorial: using NeurEco command line interface for a Tabular Regression problem
    • Tabular Compression
      • Tabular Compression with GUI
        • Start GUI NeurEco Compression project
        • Data preparation for NeurEco Compression with GUI
        • Build NeurEco Compression model with the GUI
          • Build parameters
          • Advanced parameters
          • Data normalization for Tabular Compression
          • Particular cases of Build for a Tabular Compression
            • Select a model from a checkpoint and improve it
            • Control the size of the NeurEco Compression model during build
        • Evaluate NeurEco Compression model with GUI
        • Export NeurEco Compression model with GUI
        • Plot a NeurEco network
        • Sensitivity analysis for Tabular solutions
          • Sensitivity analysis for a single sample
          • Sensitivity analysis for a whole dataset
        • Input sweep with the GUI
        • Metrics for the Tabular Compression model with GUI
        • Export Tabular Compression from the GUI to the Python API
        • Illustrative test cases for Tabular Compression
          • Heaviside
        • Tutorial: Using NeurEco GUI for a Tabular Compression problem
        • Tutorial: resume the Build of a Tabular model with the GUI
        • Compression coefficients plot and export
      • Tabular Compression with the Python API
        • Introduction to the Python API for NeurEco Compression
        • Data preparation for NeurEco Compression with python API
        • Build NeurEco Compression model with the Python API
          • Data normalization for Tabular Compression
          • Particular cases of Build for a Tabular Compression
            • Select a model from a checkpoint and improve it
            • Control the size of the NeurEco Compression model during build
        • Evaluate NeurEco Compression model with the Python API
          • Evaluate the compression coefficients and decompress them
        • Export NeurEco Compression model with the Python API
        • Plot a NeurEco network
        • Input sweep
        • Compute gradients
        • Convert a NeurEco Compression model to a Keras model
        • Illustrative test cases for Tabular Compression
          • Heaviside
        • Tutorial: using NeurEco Python API on a Tabular Compression problem
        • Tutorial: control the size of a Compression model
      • Tabular Compression with the command line interface
        • Data preparation for NeurEco Compression with the command line interface
        • Build NeurEco Compression model with the command line interface
          • Building parameters
          • Data normalization for Tabular Compression
        • Evaluate NeurEco Compression model in the command line interface
        • Export NeurEco Compression model with the command line interface
        • Illustrative test cases for Tabular Compression
          • Heaviside
    • Tabular Classification
      • Tabular Classification with the GUI
        • Start a GUI NeurEco Classification project
        • Data preparation for NeurEco Classification with GUI
        • Build NeurEco Classification model with GUI
          • Build parameters
          • Advanced parameters
          • Data normalization for Tabular Classification
          • Particular cases of Build for a Tabular Classification
            • Select a model from a checkpoint and improve it
            • Limit the size of the NeurEco model during Build
        • Evaluate NeurEco Classification model with GUI
        • Export NeurEco Classification model with GUI
        • Plot a NeurEco network
        • Sensitivity analysis for Tabular solutions
          • Sensitivity analysis for a single sample
          • Sensitivity analysis for a whole dataset
        • Input sweep with the GUI
        • Metrics for the Tabular Classification model with GUI
        • Export Tabular Classification from the GUI to the Python API
        • Illustrative test cases for Tabular Classification
          • Gene expression cancer RNA sequence
          • Wall following robot
        • Tutorial: using NeurEco GUI on a Tabular Classification problem
        • Tutorial: resume the Build of a Tabular model with the GUI
      • Tabular Classification with the Python API
        • Introduction to the Python API for NeurEco Classification
        • Data preparation for NeurEco Classification with python API
        • Build NeurEco Classification model with the Python API
          • Data normalization for Tabular Classification
          • Particular cases of Build for a Tabular Classification
            • Select a model from a checkpoint and improve it
            • Limit the size of the NeurEco model during Build
        • Evaluate NeurEco Classification model with the Python API
        • Export NeurEco Classification model with the Python API
        • Plot a NeurEco network
        • Input sweep
        • Compute gradients
        • Convert a NeurEco Classification model to a Keras model
        • Illustrative test cases for Tabular Classification
          • Gene expression cancer RNA sequence
          • Wall following robot
        • Tutorial: using NeurEco python API on a Tabular Classification problem
          • Build a model
          • Evaluate a model
      • Tabular classification with the command line interface
        • Data preparation for NeurEco Classification with the command line interface
        • Build NeurEco Classification model with the command line interface
          • Building parameters
          • Data normalization for Tabular Classification
        • Evaluate NeurEco Classification model with the command line interface
        • Export NeurEco Classification model with the command line interface
        • Illustrative test cases for Tabular Classification
          • Gene expression cancer RNA sequence
          • Wall following robot
  • Discrete Dynamic
    • Discrete Dynamic with the GUI
      • Start a GUI NeurEco Discrete Dynamic project
      • Data preparation for NeurEco Discrete Dynamic with GUI
      • Build NeurEco Discrete Dynamic model with GUI
        • Build parameters
        • Advanced parameters
        • Data normalization for Discrete Dynamic
        • Control the size of the NeurEco Discrete Dynamic model during Build
      • Evaluate NeurEco Discrete Dynamic model with GUI
      • Export NeurEco Discrete Dynamic model with GUI
      • Sensitivity analysis for Dynamic solution
      • Metrics for the Discrete Dynamic model with GUI
      • Export Discrete Dynamic from the GUI to the Python API
      • Illustrative test cases Discrete Dynamic
        • Temperature forecasting
        • Nonlinear oscillator
        • Electric Motor Temperature
      • Tutorial: using NeurEco GUI on a Discrete Dynamic problem
        • Building a Discrete Dynamic model in the GUI
          • Simple build without validation data
          • Simple build with validation data
          • Advanced build
        • Evaluating a Discrete Dynamic model in the GUI
        • Exporting a Discrete dynamic model
    • Discrete Dynamic with the Python API
      • Introduction to the Python API for NeurEco Discrete Dynamic
      • Data preparation for NeurEco Discrete Dynamic with the Python API
      • Build NeurEco Discrete Dynamic model with the Python API
        • Data normalization for Discrete Dynamic
        • Control the size of the NeurEco Discrete Dynamic model during Build
      • Evaluate NeurEco Discrete Dynamic model with the Python API
      • Export NeurEco Discrete Dynamic model python
      • Illustrative test cases Discrete Dynamic
        • Temperature forecasting
        • Nonlinear oscillator
        • Electric Motor Temperature
      • Tutorial: using NeurEco Python API for a Discrete Dynamic problem
      • Building a discrete dynamic model
        • Simple build without validation data
        • Simple build with validation data
        • Advanced build
      • Evaluating a discrete dynamic model in python
        • Evaluate a model without initial conditions
        • Evaluate a model with the explicit initialization
        • Exporting a Discrete Dynamic model
    • Discrete Dynamic with the command line interface
      • Data preparation for NeurEco Discrete Dynamic with the command line interface
      • Build NeurEco Discrete Dynamic model with the command line interface
        • Data normalization for Discrete Dynamic
      • Evaluate NeurEco Discrete Dynamic model with the command line interface
      • Export NeurEco Discrete Dynamic model with the command line interface
      • Illustrative test cases Discrete Dynamic
        • Temperature forecasting
        • Nonlinear oscillator
        • Electric Motor Temperature
      • Tutorial: using NeurEco command line interface for a Discrete Dynamic problem
• Appendix
  • Installing the last Nvidia GPU driver
    • Windows
    • Linux Debian
  • Right of usage