complete separation - convergence issue in GLMs - lassoGLM

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How can I deal with convergence issue in GLM?
I tried to use penalized logistic regression. But instead of plots like in the documentation lassoglm
I get the plots below (code also below). Looks like lambda should be close to zero.
I guess this is the convergence issue I hoped to avoid using penalized GLM. My question: why does penalization here not work and how can I make working it?
Plot 1:
Plot 2:
load('GroundTruth.mat') % attached to question
Ybool = label;
X = features;
[B,FitInfo] = lassoglm(X,Ybool, 'binomial',...
% figure
% figure

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