Hi. When running the reg_lgd_st_1.fit(lgd_inputs_stage_1_train, lgd_targets_stage_1_train) I get the following warning: /databricks/python/lib/python3.8/site-packages/sklearn/linear_model/_logistic.py:763: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. I'm using a different data set than the one given for these videos. I've nonetheless followed all data preprocessing steps and have similar data. My environment is in Databricks. The output says to either increase the # of iterations (max_iter) or scale the data (which I've already done). How would I adjust the max_iter within the LogisticRegression class shown in the video? Thanks!

I figured it out. To do that within the class, add the max_iter arguement as shown below. self.model = linear_model.LogisticRegression(*args, **kwargs, max_iter=1000)

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Dave Valentine

Last answered:

25 Jan 2022

Posted on:

25 Jan 2022

Resolved: ConvergenceWarning: lbfgs failed to converge (status = 1)

in Credit Risk Modeling in Python / LGD model: testing the model

1 answers ( 1 marked as helpful)

Dave Valentine

Posted on:

25 Jan 2022

Helpful answer

Resolved: ConvergenceWarning: lbfgs failed to converge (status = 1)

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