search for: subject_name

Hello all, I am trying to optimize my logistic regression model by using bootstrap. I was previously using SAS for this kind of tasks, but I am now switching to R. My data frame consists of 5 columns and has 109 rows. Each row is a single record composed of the following values: Subject_name, numeric1, numeric2, numeric3 and outcome (yes or no). All three numerics are used to predict outcome using LR. In SAS I have written a macro, that was splitting the dataset, running LR on one half of data and making predictions on second half. Then it was collecting the equation coefficients...

...$conn->get_peer_certificate(); - # Verify the certificate of the get request the first time we're called - if ($self->{_v2v_received} == 0) { - $self->verify_certificate($response) unless ($self->{_v2v_noverify}); + my $cn; + foreach my $i (split(/\//, $cert->subject_name)) { + next unless(length($i) > 0); + my ($key, $value) = split(/=/, $i); + $cn = lc($value) if (lc($key) eq 'cn'); + } + die(user_message(__x("SSL Certificate Subject from {host} doesn't contain ". + "a CN", host...