built in memory.
For now traversing the tree in the hdf5 file it's 10 time slower than
traversing the tree in memory...
It's possible to load the entire tree in memory before traversing the
nodes instead of use the read/caching method so the traversing can be
faster?
Thank
g in memory. You may want to
> experiment with a large negative value for the ``NODE_CACHE_SLOTS``
> parameter of PyTables. See appendix C of User's Guide for how to change
> this setting:
>
> http://www.pytables.org/docs/manual/apc.html
Thank you very much!
I will try this!
brun
2011/3/23 Francesc Alted :
> 2011/3/23 brunetto
>>
>> For now the leaves max size is 300 (that is: leaves are Arrays
>> containing 300 or less integers), the number of nodes dipends on the
>> dimension of the dataset. Now I'm using dataset between 1000 and 10^
