Now available on the JMP File Exchange.
I’m super-excited about this. (more…)
An Easter egg is an intentional inside joke, a hidden message, or a secret feature of an interactive work (often, a computer program, video game or DVD menu screen). The name is used to evoke the idea of a traditional Easter egg hunt
The above visualisation is a 3D tree view of a decision tree generated with the Partition platform.
However, if you look under the red triangle hotspot for the platform you won’t find an option to create this output.
I have been investigating the use of logistic regression to model image pixel data. Now I want to take a look at the use of neural networks. In this post I am going to build the simplest possible neural network and compare it against a simple logistic regression.
Since writing this post I have placed the associated code on the
JMP File Exchange …
The problem with the internet is that it gives you too much information, or rather, it takes too long to gather the information. I often cross reference hotel booking sites with TripAdvisor, and its a laborious process. So this evening I decided to streamline my process by writing a script to gather to user reviews into a JMP table and simple report.
In this post I will continue with my so-called hieroglyphics project. This project uses a set of image data that describes handwritten characters. The dataset is frequently used to evaluate machine-learning algorithms. I’m using the dataset to explore a variety of modelling techniques within JMP.
In my last post I used a script to incrementally add terms to my model so that I could explore the performance of the model with increasing complexity. But the order in which I added the terms was based on a heuristic and it wasn’t necessarily optimal. So in this post I want to explore using stepwise regression.
JMP is brilliant for real-time data capture. Add to that the ability to use JSL to construct “industrial” style user-interfaces and its easy to get JMP deployed in an environment that relies on simple to use robust data capture from online measurement systems.
In a recent post I created a table that contained two classes of data: images that represent either the handwritten digit ‘5’ or the digit ‘6’. In this post I’ll model the data using logistic regression. I will also take the opportunity to look at the role of training and test datasets, and to highlight the distinction between testing and validation.
If you have ever been to a JMP Discovery Summit or perhaps a JMP user group meeting you will no doubt have come across journal files. The first time you create one can be an unnerving experience since a new journal is simply a blank window. But that is their beauty: they are a blank canvass onto which you can save your JMP output. But more importantly they are a place to capture your thoughts.
A question that I’ve been asked a few times is “how can I script a data filter?”. My response to this question is always the same: “why would you want to do this?”.
In scripting, a common task is to manipulate data through row selections; a data filter is a tool that allows you to perform the same task interactively without scripting. Which means: you either script or you use a data filter.
So now the question becomes: “how can I implement functionality equivalent to a data filter using JSL?”.
In this post I will look at answering this question. But since there are occasions where is is desirable to explicitly script the data filter, I’ll look at that too!