On 05/13/2013 05:49 PM, Matthias Ekman wrote:
>> Unfortunately, this doesn't solve my problem. I'm still getting the same
>> error for an array with the dimension 2000x15. I'm very surprised as
>> this is not exactly a very large dataset. Are you sure there are no other
>> settings (maybe on
>> Unfortunately, this doesn't solve my problem. I'm still getting the same
>> error for an array with the dimension 2000x15. I'm very surprised as
>> this is not exactly a very large dataset. Are you sure there are no other
>> settings (maybe on a system level) that might interfere with this i
In fact, the limit is a signed 32-bit int, so 2147483647 and you have
24
bytes.
On Mon, May 13, 2013 at 8:01 AM, John Benediktsson wrote:
> Unfortunately, this doesn't solve my problem. I'm still getting the same
>> error for an array with the dimension 2000x15. I'm very surprised
>
> Unfortunately, this doesn't solve my problem. I'm still getting the same
> error for an array with the dimension 2000x15. I'm very surprised as
> this is not exactly a very large dataset. Are you sure there are no other
> settings (maybe on a system level) that might interfere with this iss
On 05/13/2013 04:48 PM, Matthias Ekman wrote:
Hi Andy,
thanks for your comment. I didn't know about the pre_dispatch
parameter before. Here is my PR that adds the parameter to
``cross_val_score``
https://github.com/scikit-learn/scikit-learn/pull/1961
Unfortunately, this doesn't solve my prob
Hi Andy,
thanks for your comment. I didn't know about the pre_dispatch parameter
before. Here is my PR that adds the parameter to ``cross_val_score``
https://github.com/scikit-learn/scikit-learn/pull/1961
Unfortunately, this doesn't solve my problem. I'm still getting the same
error for an array
