np.all(xtrain.std() == 0.) ?
2014-04-29 12:22 GMT+02:00 abhishek <abhish...@gmail.com>:
> Hi,
>
> While using Gaussian Process, I get the following errors and I'm unable to
> figure out why.
>
>
> ---------------------------------------------------------------------------ValueError
> Traceback (most recent call
> last)<ipython-input-93-417d3b33b0b2> in <module>()----> 1 xtrain, xtest,
> ytrain, ytest = cross_validation.train_test_split(training, labels) 2
> 3 gp = GaussianProcess() 4 gp.fit(xtrain,ytrain) 5
> /usr/local/Cellar/python/2.7.6/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/sklearn/cross_validation.pyc
> in train_test_split(*arrays, **options) 1510 test_size = 0.25
> 1511 -> 1512 arrays = check_arrays(*arrays, **options) 1513
> n_samples = arrays[0].shape[0] 1514 cv = ShuffleSplit(n_samples,
> test_size=test_size,
> /usr/local/Cellar/python/2.7.6/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/sklearn/utils/validation.pyc
> in check_arrays(*arrays, **options) 261 else: 262
> array = np.asarray(array, dtype=dtype)--> 263
> _assert_all_finite(array) 264 265 if array.ndim >= 3:
> /usr/local/Cellar/python/2.7.6/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/sklearn/utils/validation.pyc
> in _assert_all_finite(X) 40 and not np.isfinite(X).all()):
> 41 raise ValueError("Input contains NaN, infinity"---> 42
> " or a value too large for %r." % X.dtype) 43 44
> ValueError: Input contains NaN, infinity or a value too large for
> dtype('float64').
>
>
>
> The array does not contain any NaNs and Ive also tried scaling the array
> but the same error is thrown.
>
> Any help would be appreciated.
>
> Thank you,
> --
> Regards
>
> Abhishek Thakur
>
> -
>
>
>
>
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