[Jboost-users] Documention Deficiencies

[Jason K. <jas...@ro...>]

Hello,

In looking at the examples, I am finding that the lack of documentation on the examples themselves is really hurting my attempts to understand what the classifier is outputting. It would make sense, for example, if the noisy line example was completed from end to end with details on the building and execution of the example as well as some description of the input and interpretation of the results for some examples. The information that is provided is insufficient to understand.

I am able to build it, but when I ran it, the lack of some instructions
on the command line and very terse comments in the code meant that I
was unsure what I should be typing on the command line. I had to figure it out which is quite silly for someone trying to use examples in order to learn the application.

For the output, the example described in Wikipedia yields a single number confidence output and this is intuitive whereas the output of two numbers makes little sense to me. Is the confidence the summation of the outputs in the vector, is it multidimensional or something else? This information should be on the site so others can attempt to make use of the data.

Jason