Tiny mismatch in CD and IRLS convergence criteria

[tbenthompson]

See below. The IRLS solver warns that it failed to converge with the one iteration it was allowed. It's only allowed one iteration because this is a Gaussian problem so the quadratic approximation should be exact.
Looking at the convergence column in the output (0.000100) it seems that coordinate descent is exiting just a little bit earlier than it should. I think the problem is that the convergence criterion in the IRLS solver is slightly different than the convergence criterion in CD.

I don't think this is a big problem and I don't intend to work on it now but I just wanted to document it.

(quantcore.glm) ➜  quantcore.glm git:(benchmarks_figure) ✗ glm_benchmarks_run --threads 6 --num_rows 500000 --storage sparse --problem_name interme
diate-insurance-no-weights-lasso-gaussian --library_name quantcore-glm
running problem=intermediate-insurance-no-weights-lasso-gaussian library=quantcore-glm
/home/tbent/Dropbox/active/quantco/quantcore.glm/src/quantcore/glm/_solvers.py:348: ConvergenceWarning: IRLS failed to converge. Increase the maxim
um number of iterations max_iter (currently 1)
  warnings.warn(
Diagnostics:
        convergence  n_cycles  iteration_runtime   intercept
n_iter                                                      
0       2911.900983         0           0.119170  1842.74569
1          0.000100     25576           0.896123  1842.74569
ran problem intermediate-insurance-no-weights-lasso-gaussian with library quantcore-glm
ran in 1.0402872562408447