They don't support non-inductive clustering. With K-Means it works perfectly fine ;)
Jitesh: cv=None is the default, meaning 3 fold cross-validation (depending on the estimator either stratified or not).
On 05/17/2015 10:10 PM, Joel Nothman wrote:
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 <mailto: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 -- Jitesh Khandelwal <http://about.me/jitesh.khandelwal?promo=email_sig> http://about.me/jitesh.khandelwal ------------------------------------------------------------------------------ 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 <mailto: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
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