Sorry, grid search (and similar) does not support clusterers. This probably
should be formally tracked as an issue.
https://github.com/scikit-learn/scikit-learn/issues/4040 might be helpful
to you.
On 18 May 2015 at 11:56, Jitesh Khandelwal <jk231...@gmail.com> wrote:
> I have recently been using grid search to evaluate a custom method for
> dimensionality reduction (DR) along with supervised and unsupervised
> estimators later in the pipeline to discover its usefulness.
>
> gr = grid_search.GridSearchCV(
> pipeline
> , param_grid, cv = None)
>
> The scoring functions I used are:
> 1. make_scorer(adjusted_rand_index)
> 2. make_scorer(homogenity_score)
>
> The two settings that I have used successfully are:
> pipeline1 = [DR method, knn classifier], a case for supervised estimator
> pipeline2 = [DR method, kmean clustering], a case for unsupervised
> estimator
>
> But I am getting an error for the following:
> pipeline3 = [DR method, DBScan clustering]
> pipeline4 = [DR method, agglomerative clustering]
>
> The reason being that DBScan and agglomerative do not have the "predict"
> function in their api. Why this is so?
>
> I am just guessing that, may be this is because it is not possible for
> these 2 algorithms to assign cluster labels to unseen data. Correct me if i
> am wrong.
>
> Even if this is the case, shouldn't grid search automatically decide to
> use
> either
> pred = est.fit(X1).predict(X2) if cv is not None
> or
> pred = est.fit_predict(X) if cv is None (as in my case above)
> based on the "cv" paramerter.
>
> Thanks
> Jitesh
>
> [image: --]
> Jitesh Khandelwal
> <http://about.me/jitesh.khandelwal?promo=email_sig>
> [image: http://]about.me/jitesh.khandelwal
> <http://about.me/jitesh.khandelwal?promo=email_sig>
>
>
>
> ------------------------------------------------------------------------------
> One dashboard for servers and applications across Physical-Virtual-Cloud
> Widest out-of-the-box monitoring support with 50+ applications
> Performance metrics, stats and reports that give you Actionable Insights
> Deep dive visibility with transaction tracing using APM Insight.
> http://ad.doubleclick.net/ddm/clk/290420510;117567292;y
> _______________________________________________
> Scikit-learn-general mailing list
> Scikit-learn-general@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
>
>
------------------------------------------------------------------------------
One dashboard for servers and applications across Physical-Virtual-Cloud
Widest out-of-the-box monitoring support with 50+ applications
Performance metrics, stats and reports that give you Actionable Insights
Deep dive visibility with transaction tracing using APM Insight.
http://ad.doubleclick.net/ddm/clk/290420510;117567292;y
_______________________________________________
Scikit-learn-general mailing list
Scikit-learn-general@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
