Carlos Agarie comments

Results 46 comments of


                                            Carlos Agarie

LAPACK getrf/getri function and spec broken (and causes #det to be wrong)

@wlevine please update the documentation accordingly. If you thought it was wrong, probably others will too.

LAPACK getrf/getri function and spec broken (and causes #det to be wrong)

I think that we should use YARD and [Rubydoc](http://www.rubydoc.info) from now on. You can find [NMatrix documentation on Rubydoc](http://www.rubydoc.info/github/sciruby/nmatrix/master). (I probably should take the job of converting the docs to...

Speed up nmatrix basic stats and aritmetic operations

Yeah, we do need more specific benchmarks (not only in this case, but running benchmarks so we can assert that no performance degradation is happening in future updates).

mean, variance and std return a Float when the resulting shape is [1,1]

Alright, I'll send a pull request today!

mean, variance and std return a Float when the resulting shape is [1,1]

Hmmm, no, not yet. The problem (there are probably more) with this approach is that we'll introduce a lot of coupling in the definitions of `#mean`, `#variance` and `#std`. What...

Splitting statsample into smaller chunks

Thanks for posting it here, Ismail. @yannickwurm can you give us more information about those issues? Maybe this can point us to a better solution or something. :)

Splitting statsample into smaller chunks

@IsmailM I removed the rb-gsl dependency from statsample and minimization today.

Returning NaN for simple multiple linear regression case in 1.4.1

Thanks, I'll look into it.

Returning NaN for simple multiple linear regression case in 1.4.1

In 1.4.1: ``` ruby >> require 'statsample' >> Statsample::VERSION => "1.4.1" >> @a=[27.0, 12.0, 16.0, 25.0].to_vector(:scale) >> @b=[10.0, 15.0, 19.0, 2.0].to_vector(:scale) >> @y=[1, 1, 1, 1].to_vector(:scale) >> lr=Statsample::Regression::Multiple::RubyEngine.new(ds,'y') >> lr.r...

Returning NaN for simple multiple linear regression case in 1.4.1

How did you find about this behavior? Can you host the original code in a gist (if possible), so we can work from there? I made some stylistic changes to...