id points as determined by the training data's marginal
distribution.</p></dd>
<dt>params.glmnet</dt>
<dd><p>Optional list of parameters to pass to glmnet while fitting
PDP curves to resemble the original predictions. By specifying
parameters, one can do lasso or ridge regression.</p></dd>
<dt>params.cv.glmnet</dt>
<dd><p>Optional list of parameters to pass to cv.glmnet while fitting
PDP curves to resemble the original predictions. By specifying
parameters, one can do lasso or ridge regression.</p></dd>
</d