Dear Roberto,
On Wed, Sep 24, 2014 at 12:14 AM, Pagliari, Roberto <[email protected]
> wrote:
> I’m using a pipeline with gridsearchcv. I tried this to allow search over
> a range of number of trees
>
>
>
> params = dict(random_forest_classifier__n_estimators=[8, 9, 10, 11])
>
> clf = grid_search.GridSearchCV(my_pipeline, param_grid=params)
>
>
>
> but the name ‘random_forest_classifier__n_estimators’ is not correct. What
> is the name for it, and how do I find these names for different classifiers?
>
You must use the name that you (arbitrary) assigned to this estimator in
the Pipeline:
my_pipeline = Pipeline([
('randomf', RandomForestClassifier())
])
params_grid = {
'randomf__n_estimators': [30, 50, 100],
}
clf = GridSearchCV(my_pipeline, params_grid)
HTH,
Eraldo
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