Running the code of linear binary pattern for Adrian. This program runs but gives the following warning:

```
C:\Python27\lib\site-packages\sklearn\svm\base.py:922: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
"the number of iterations.", ConvergenceWarning
```

I am running python2.7 with opencv3.7, what should I do?

This question is related to
`python`

`opencv`

`lbph-algorithm`

Explicitly specifying the `max_iter`

resolves the warning as the default `max_iter`

is 100. [For Logistic Regression].

```
logreg = LogisticRegression(max_iter=1000)
```

I reached the point that I set, up to `max_iter=1200000`

on my `LinearSVC`

classifier, but still the *"ConvergenceWarning"* was still present. I fix the issue by just setting `dual=False`

and leaving `max_iter`

to its default.

With `LogisticRegression(solver='lbfgs')`

classifier, you should increase `max_iter`

. Mine have reached `max_iter=7600`

before the *"ConvergenceWarning"* disappears when training with large dataset's features.

Please incre max_iter to 10000 as default value is 1000. Possibly, increasing no. of iterations will help algorithm to converge. For me it converged and solver was -'lbfgs'

```
log_reg = LogisticRegression(solver='lbfgs',class_weight='balanced', max_iter=10000)
```

Source: Stackoverflow.com