This video shows how to do Logistic Regression and Classification in GeneXproTools, focusing mainly on the new features introduced in version 4.3. They include: (1) How to Create a New Modeling Session, (2) How to Create Independent and Unattended Runs, (3) How to Import Models from Different Files, (4) How to Convert Logistic Regression Models to Classification and Vice Versa, (5) New Logistic Regression Charts: Binomial Fit by Model and
Binomial Fit by Target Charts, (6) New Classification Tapestry, (7) New Model Management Tools, (8) How to Create Ensemble Models and Deploy them to Excel, and (9) How to Deploy Models to Excel.
This video shows how to create nonlinear regression models with GeneXproTools 4.3, focusing on:
(1) Data analysis and visualization;
(2) Creating the baseline multilinear regression model in Excel;
(3) Preparing the data for training and testing;
(4) Loading the data and creating a model in GeneXproTools;
(5) Generating the model code (matlab code, expression tree, and mathematical expression);
(6) Deploying and scoring a model in Excel; and
(7) Evaluation of the importance of model variables.
By creating a model in Testing Mode, you have more control over the quality of the model
at making predictions. Now in GeneXproTools 4.3, by using the Import Models feature,
it’s possible to create a model while in Testing Mode and then import it from a
different run primed for prediction. This video shows how to do this in GeneXproTools
using the monthly closings of the Dow-Jones industrial index. It also shows the
difference between Testing Mode and Prediction Mode in GeneXproTools using a very simple time series example.
This quick tour to Classification uses a well-known dataset for diagnosing breast cancer as either benign (0) or malignant (1). It covers all the basic steps of predictive modeling, including: (1) Loading training and testing data, (2) Creating a model, (3) Evaluating the predictive accuracy of a model, (4) Generating code automatically, (5) Optimizing a model, (6) Simplifying a model, (7) Choosing the set of functions to work with, (8) Choosing different architectures or model plans, (9) Experimenting with different numerical constants, (10) Exploring different fitness functions, and (11) Making predictions with the evolved models. All the video takes are real-time modeling sessions without cuts to give you a feel for how easy it is to model with GeneXproTools. The dataset used throughout the video consists of a total of 524 cases, of which 350 are used for training (that is, for building the models) and 174 for testing the predictive accuracy of the generated models.
This quick tour to Function Finding shows how to do nonlinear regression with GeneXproTools using real-world production data of 446 firms with three independent variables. It covers all the basic steps of evolutionary modeling, including: (1) Loading training and testing data, (2) Creating a model, (3) Evaluating the predictive accuracy of a model, (4) Generating code automatically, (5) Optimizing a model, (6) Simplifying a model, (7) Choosing the set of mathematical functions to work with, (8) Choosing different architectures or model plans, (9) Experimenting with different numerical constants, (10) Exploring different fitness functions, and (11) Making predictions with the evolved models. All the video takes are real-time modeling sessions without cuts to give you a feel for how easy it is to model with GeneXproTools. In this particular case, you’ll see that explaining Production as a function of Labor, Material, and Capital is an easy problem for GeneXproTools and exceptionally good models are obtained in virtually all runs.
This quick tour to Time Series Prediction shows how easy it is to make predictions with GeneXproTools using Dow-Jones industrial historical data. It covers all the basic steps of predictive modeling, including: (1) Loading and transforming a time series, (2) Creating models in testing mode, (3) Evaluating the predictive power of a model, (4) Creating models in prediction mode, (5) Generating code automatically, (6) Optimizing a model, (7) Simplifying a model, (8) Experimenting with different embedding dimensions and delay times, (9) Choosing the set of mathematical functions to work with, (10) Choosing different architectures or model plans, (11) Experimenting with different numerical constants, and (12) Exploring different fitness functions. All the video takes are real-time modeling sessions without cuts to give you a feel for how easy it is to make predictions with GeneXproTools. For all the runs of this video, each value from the original raw time series (data file dj.dat obtained from the Time Series Data Library) was replaced by its moving average using a smoothing period of 10.
This quick tour to Logic Synthesis uses the well-known odd-3-parity function which, of the logical functions with three inputs, is one of the hardest to model with learning algorithms. The video covers all the basic steps of logic circuit design with GeneXproTools, including: (1) Loading the rule table, (2) Creating logic circuits with only NOT-AND-OR, (3) Simplifying a logic circuit, (4) Generating code automatically in 16 programming languages, (5) Exploring different linkers, (6) Creating logic circuits with just NAND gates, (7) Creating logic circuits with just NOR gates, (8) Creating logic circuits with just MUX gates, (9) Creating logic circuits with only NOT-AND-XOR, (10) Creating logic circuits using all kinds of gates and convert them immediately into canonical logical systems, (11) Optimizing a logic circuit, and (12) Exploring different fitness functions. All the video takes are real-time modeling sessions without cuts to give you a feel for how easy it is to design logic circuits with GeneXproTools.
“As a professional software developer, I could have attempted to read up on all the latest developments in the field of evolutionary programming and start writing my own modeling tools. One look at the GeneXproTools demo, however, was enough to convince me of the absurdity of that thought. Not only does GeneXproTools have all the power that I would ever need, but it also allows me to customize all parts of the modeling process. I don’t have to know the first thing about evolutionary algorithms and yet I can write my own grammars or fitness functions if I wanted to. It is obvious that a huge amount of work went into the making of GeneXproTools, and I am now a very happy customer. Keep up the great work, Gepsoft!”
