[scikit-learn] Error while using GridSearchCV.

[Roman Yurchak]

Shubham,

the definition of ShuffleSplit.__init__ is
    ShuffleSplit(n_splits=10, test_size=0.1, train_size=None,
random_state=None)
you are passing the n_split parameter twice (once named and once as the
first parameter), as the exception that you getting says,

-- 
Roman

On 07/03/17 14:24, Shubham Singh Tomar wrote:
> Hi,
> 
> I'm trying to use GridSearchCV to tune the parameters for
> DecisionTreeRegressor. I'm using sklearn 0.18.1
> 
> I'm getting the following error:
> 
> ---------------------------------------------------------------------------
> TypeError                                 Traceback (most recent call last)
> <ipython-input-36-192f7c286a58> in <module>() 1 # Fit the training data to the model using grid search---->
> 2reg = fit_model(X_train, y_train)3 4 # Produce the value for
> 'max_depth'5 print "Parameter 'max_depth' is {} for the optimal
> model.".format(reg.get_params()['max_depth'])<ipython-input-35-500141c331d9>
> in fit_model(X, y) 11 12 # Create cross-validation sets from the
> training data---> 13cv_sets = ShuffleSplit(X.shape[0], n_splits = 10,
> test_size = 0.20, random_state = 0)14 15 # TODO: Create a decision tree
> regressor objectTypeError: __init__() got multiple values for keyword
> argument 'n_splits'
> 
> 
> 
> 
> -- 
> *Thanks,*
> *Shubham Singh Tomar*
> *Autodidact24.github.io <http://Autodidact24.github.io>*
> 
> 
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