modeling

I am taking an OpenGL course and we have the option to create models to use in our assignments with a 3D modeling application, like Maya or Blender. I am not looking forward to typing in coordinates manually so I was curious what resources I should be looking into for writing OpenGL code and importing models. (Textures are coming later). I am also concerned by the scale I'm importing at but maybe that's silly to worry about at this point. Thanks for any resource suggestions. OpenGL has so much out there I get overwhelmed sometimes when Googling for what I need. EDIT: This is what I ended up

I've found UML useful for documenting various aspects of OO systems, particularly class diagrams for overall architecture and sequence diagrams to illustrate particular routines. I'd like to do the same kind of thing for my clojure applications. I'm not currently interested in Model Driven Development, simply on communicating how applications work. Is UML a common / reasonable approach to modelling functional programming? Is there a better alternative to UML for FP? Norman Ramsey Most functional programmers prefer types to diagrams. (I mean types very broadly speaking, to include such things

We are using PowerDesigner at work for database modelling. But there is a hell of a price tag on that piece of software. And frankly, all I use is physical diagrams for MS SQL, which is about 1% of what PD knows. Are there any good alternatives? I know about Visio and MS SQL Diagrams, but looking for other options. I just use SQL Server using the diagrams folder. The designer is pretty simple to use, and can be used to generate tables fairly quickly. Considering it's free with the software, I don't see the issue. Power*Architect is the way to go. It's free, open source, and does a really great

I just created a model using scikit-learn which estimates the probability of how likely a client will respond to some offer. Now I'm trying to evaluate my model. For that I want to plot the lift chart. I understand the concept of lift, but I'm struggling to understand how to actually implement it in python. Lift/cumulative gains charts aren't a good way to evaluate a model (as it cannot be used for comparison between models), and are instead a means of evaluating the results where your resources are finite. Either because there's a cost to action each result (in a marketing scenario) or you

I would like to know what kind of toolkits, languages, libraries exist for agent-based modeling and what are the pros/cons of them? Some examples of what I am thinking of are Swarm , Repast , and MASS . darlinton I found a survey from June 2009 that answer your question: Survey of Agent Based Modelling and Simulation Tools Au. R.J. Allan Abstract Agent Based Modelling and Simulation is a computationally demanding technique based on discrete event simulation and having its origins in genetic algorithms. It is a powerful technique for simulating dynamic complex systems and observing “emergent”

What's your favorite open source database design/modeling tool? I'm looking for one that supports several databases, especially Firebird SQL but I can't find one on Google. I've used DBDesigner before. It is an open source tool. You might check that out. Not sure if it fits your needs. Best of luck! Do you mean design as in 'graphic representation of tables' or just plain old 'engineering kind of design'. If it's the latter, use FlameRobin , version 0.9.0 has just been released. If it's the former, then use DBDesigner . Yup, that uses Java. Or maybe you meant something more like MS Access.

I am curious, what are the differences between Domain Driven Design and Model Driven Architecture? I have the impression they have certain similarities. Could you enlighten me? Thanks sfinnie Don't disagree with most of the above although it's perhaps worth expanding a little. The single most important concept in DDD is to focus on the problem domain. To put technology obsession to the side and concentrate primarily on modelling the problem you're trying to solve. So put ajax, ORMs, databases, frameworks etc. into the background and instead make sure you have a complete, accurate model of the

I am looking to run Linear Regression on the below data frame. test<-data.frame(abc=c(2.4,3.2,8.9,9.8,10.0,3.2,5.4), city1_0=c(5.3,2.6,3,5.4,7.8,4.4,5.5), city1_1=c(2.3,5.6,3,2.4,3.6,2.4,6.5), city1_2=c(4.2,1.4,2.6,2,6,3.6,2.4), city1_3=c(2.4,2.6,9.4,4.6,2.5,1.2,7.5), city1_4=c(8.2,4.2,7.6,3.4,1.7,5.2,9.7), city2_0=c(4.3,8.6,6,3.7,7.8,4.7,5.8), city2_1=c(5.3,2.6,3,5.4,7.8,4.4,5.5)) Dataframe "test" is sample of the data. But original data frame contains 100 columns. I want to create a script for predicting values using linear regression. In this case, I want to build many models with different

I'm trying to model some lexical data using OWL 2 (DL, using Protege). My main class is "Lemma", which has a number of axioms (using Manchester syntax): Every Lemma hasLanguage some Language. Every Lemma hasEtymology some Etymology. Every Lemma hasMorphology some Morphology. etc. I also have a class VariantLemma, which is basically a variant spelling of the original lemma, but it will always have the same language and etymology as its parent Lemma, but can have different morphology. I originally modelled it as being equivalent to: Lemma and (isVariantOf some Lemma) but how can I state that it