Sorry, I meant https://github.com/scikit-learn/scikit-learn/issues/4301
On 18 May 2015 at 12:10, Joel Nothman <joel.noth...@gmail.com> 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> 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
