Thank you

With regards,
vamsi

Error:
ImportError: liblapack.so.3: cannot open shared object file: No such file or directory
Traceback (most recent call last):
File “/home/vamsi/MGLTools-1.5.4/MGLToolsPckgs/AutoDockTools/Utilities24/pdbqt_to_pdb.py”, line 7, in
from MolKit.pdbWriter import PdbWriter
File “/home/vamsi/MGLTools-1.5.4/MGLToolsPckgs/MolKit/pdbWriter.py”, line 16, in
from MolKit.pdbParser import PdbParser
File “/home/vamsi/MGLTools-1.5.4/MGLToolsPckgs/MolKit/pdbParser.py”, line 50, in
from MolKit.moleculeParser import MoleculeParser
File “/home/vamsi/MGLTools-1.5.4/MGLToolsPckgs/MolKit/moleculeParser.py”, line 15, in
from MolKit.molecule import Atom
File “/home/vamsi/MGLTools-1.5.4/MGLToolsPckgs/MolKit/molecule.py”, line 25, in
from mglutil.util import misc
File “/home/vamsi/MGLTools-1.5.4/MGLToolsPckgs/mglutil/util/misc.py”, line 19, in
import numpy.oldnumeric as Numeric
File “/home/vamsi/MGLTools-1.5.4/lib/python2.5/site-packages/numpy/__init__.py”, line 103, in
import linalg
File “/home/vamsi/MGLTools-1.5.4/lib/python2.5/site-packages/numpy/linalg/__init__.py”, line 4, in
from linalg import *
File “/home/vamsi/MGLTools-1.5.4/lib/python2.5/site-packages/numpy/linalg/linalg.py”, line 29, in
from numpy.linalg import lapack_lite
ImportError: liblapack.so.3: cannot open shared object file: No such file or directory
Traceback (most recent call last):
File “/home/vamsi/MGLTools-1.5.4/MGLToolsPckgs/AutoDockTools/Utilities24/pdbqt_to_pdb.py”, line 7, in
from MolKit.pdbWriter import PdbWriter
File “/home/vamsi/MGLTools-1.5.4/MGLToolsPckgs/MolKit/pdbWriter.py”, line 16, in
from MolKit.pdbParser import PdbParser
File “/home/vamsi/MGLTools-1.5.4/MGLToolsPckgs/MolKit/pdbParser.py”, line 50, in
from MolKit.moleculeParser import MoleculeParser
File “/home/vamsi/MGLTools-1.5.4/MGLToolsPckgs/MolKit/moleculeParser.py”, line 15, in
from MolKit.molecule import Atom
File “/home/vamsi/MGLTools-1.5.4/MGLToolsPckgs/MolKit/molecule.py”, line 25, in
from mglutil.util import misc
File “/home/vamsi/MGLTools-1.5.4/MGLToolsPckgs/mglutil/util/misc.py”, line 19, in
import numpy.oldnumeric as Numeric
File “/home/vamsi/MGLTools-1.5.4/lib/python2.5/site-packages/numpy/__init__.py”, line 103, in
import linalg
File “/home/vamsi/MGLTools-1.5.4/lib/python2.5/site-packages/numpy/linalg/__init__.py”, line 4, in
from linalg import *
File “/home/vamsi/MGLTools-1.5.4/lib/python2.5/site-packages/numpy/linalg/linalg.py”, line 29, in
from numpy.linalg import lapack_lite

Anyone can please help?
Sorry if I am not at the right forum

it has been quite a while since I visited your web site. I just wanted to let you know that the support for multicores in RapidMiner is now part of the freely available community edition of RapidMiner - as well as all other extensions which were formerly only available for our enterprise customers.

The second information is about the process handling: beginning with RapidMiner 5, there is also a process flow design available like that known from the Weka Knowledge Flow or SPSS Clementine. Now RapidMiner combines its power in modeling and validation with the ease of useness of other solutions. The RapidMiner 5 Release Candidate was released end of last year and maybe you want to give it another try.

Hope you and your readers find this information interesting.

All the best,
Ingo

Best, Holger

thanks for your informative texts about the various data mining tools and your in-depth comparison. It gives a lot of insight into these tools and their usefulness as well as their short comings. And good pointers for the open source projects on where to improve their great software tools.

Regarding the multi-core features, I can really recommend the RapidMiner Enterprise Edition. The speed-up is enormous. Since you are an assistance professor at National University of Singapore, you could ask the team at Rapid-I for academic pricing. They offer an academic version of RapidMiner at a reduced price for universities, professors, research assistants, and students.

Looking at RapidMiner, KNIME, Weka, and the R-Project, I see four enterprise ready data mining tools and a lot of dynamic in the further development of these tools, which is good for all data miners, both in academic research and commercial applications.

Best wishes,
Frank

While RapidMiner is no dedicated ETL tool (Extract, Transform, Load), you can use it for that purpose as well.

And if you install RapidMiner anyway, you can also use it as an alternative or additional data mining tool. It’s downloadable for free and well worth a try.

Have fun,
Frank