5
91%
master: 91%

Ran 26 Feb 2019 02:40PM UTC

Files 6

Run time 1s

Badge

Embed ▾

Committed 26 Feb 2019 02:31PM UTC coverage: 86.52% (+0.01%) from 86.506%

Job # 159.5

Build Type

push

travis-ci

Committed by

AsafManela

Commit Message

Better handling of constant variables (#28)

When fitting a LassoPath for `\alpha=1`, if a column of `X` is all zero, or when it is constant and centralization is requested, `Lasso.fit` fails with a `"coordinate descent failed to converge in $maxiter iterations at λ = $λ"` error.

The culprit is a `0/0` case which is addressed in this PR.

However I am unsure of the following:
1. When `\alpha < 1`, is there any practical use for the coef of a constant (but non-intercept) variable to be non-zero? If so then the fix should be reconsidered.
2. Should we just fail gracefully instead of trying to proceed for this pathological input?

Any suggestions much appreciated.

Run Details

828 of 957 relevant lines covered (86.52%)

7176891.79 hits per line

JuliaStats / Lasso.jl / 159 / 5
91%
master: 91%

README BADGES
x

Markdown

Textile

RDoc

HTML

Rst

Source Files on job 159.5

JuliaStats / Lasso.jl / 159 / 5 91% master: 91%

README BADGES x

Markdown

Textile

RDoc

HTML

Rst

Source Files on job 159.5

JuliaStats / Lasso.jl / 159 / 5
91%
master: 91%

README BADGES
x