On Mon, Apr 27, 2015 at 4:44 PM, Jitesh Khandelwal <jk231...@gmail.com>
wrote:
> Hi all,
>
> I am trying to use grid search to evaluate some decomposition techniques
> of my own. I have implemented some custom transformers such as PAA, DFT,
> DWT as shown in the code below.
>
> I am getting a strange "ValueError" when run the below code and I am
> unable to figure out the origin of the problem.
>
> I have pasted the code below and attached the error log file.
>
> Any suggestions on how can I move forward from here would be helpful.
>
> Thanks.
>
> Code:
> =======================================================
> from sklearn.pipeline import Pipeline
> from sklearn.grid_search import GridSearchCV
> from sklearn.neighbors import KNeighborsClassifier
>
> from time_series.decomposition import PAA, DFT, DWT, ShapeX
> from prepare_data import combine_train_test_dataset
>
> knn = KNeighborsClassifier()
> paa = PAA()
>
> pipe = Pipeline([
> ('paa', paa),
> ('knn', knn)
> ])
>
> n_components = [1,2,4,5,10,20,40]
> n_neighbors = range(1,11)
> metrics = ['euclidean']
>
> datadir = "../keogh_datasets/Coffee"
> X,y = combine_train_test_dataset(datadir)
>
> model_tunning = GridSearchCV(pipe, {
> 'paa__n_components': n_components,
> 'knn__n_neighbors': n_neighbors,
> 'knn__metric': metrics,
> },
> n_jobs=-1)
>
> model_tunning.fit(X,y)
>
> print model_tunning.best_score_
> print model_tunning.best_params_
> =======================================================
>
>
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