Is there easy way to grid search without cross validation in python? : <p>There is absolutely helpful class GridSearchCV in scikit-learn to do grid search and cross validation, but I don't want to do cross validataion. I want to do grid search without cross validation and use whole data to train.
To be more specific, I need to evaluate my model made by RandomForestClassifier with "oob score" during grid search.
Is there easy way to do it? or should I make a class by myself?</p>

<p>The points are</p>

<ul>
<li>I'd like to do grid search with easy way.</li>
<li>I don't want to do cross validation.</li>
<li>I need to use whole data to train.(don't want to separate to train data and test data)</li>
<li>I need to use oob score to evaluate during grid search.</li>
</ul>
