This tag is for questions on the process of running an exhaustive search over specified parameter values for an estimator using the class GridSearchCV from Python's scikit-learn library.
Problem: My situation appears to be a memory leak when running gridsearchcv. This happens when I run with 1 or 32 concurrent …
memory-leaks scikit-learn grid-search gridsearchcvtried grid.cv_results_ didnt correct problem from sklearn.model_selection import GridSearchCV params = { 'decisiontreeclassifier__max_depth': [1, 2], 'pipeline-1__clf__C': [0.001, 0.1, 100.0] } …
python scikit-learn roc gridsearchcv