Hi. thanks. I was able to solve it
On Fri, May 2, 2014 at 4:49 PM, Vincent Dubourg
<vincent.dubo...@gmail.com>wrote:
> Sorry, I did not read your traceback carefully... I thought the error was
> raised by the GaussianProcess but is is not.
> You said you checked for NaNs, but did you check for inf values as well?
>
>
> 2014-05-02 16:11 GMT+02:00 Vincent Dubourg <vincent.dubo...@gmail.com>:
>
> 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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>>
>
>
> ------------------------------------------------------------------------------
> "Accelerate Dev Cycles with Automated Cross-Browser Testing - For FREE
> Instantly run your Selenium tests across 300+ browser/OS combos. Get
> unparalleled scalability from the best Selenium testing platform available.
> Simple to use. Nothing to install. Get started now for free."
> http://p.sf.net/sfu/SauceLabs
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--
Regards
Abhishek Thakur
- de.linkedin.com/in/abhisvnit/
------------------------------------------------------------------------------
"Accelerate Dev Cycles with Automated Cross-Browser Testing - For FREE
Instantly run your Selenium tests across 300+ browser/OS combos. Get
unparalleled scalability from the best Selenium testing platform available.
Simple to use. Nothing to install. Get started now for free."
http://p.sf.net/sfu/SauceLabs
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