https://community.splunk.com/t5/Splunk-Dev/Splunk-ML-toolkit-Python-Scientific-Computing-pasty-package/m-p/343857#M5368 <P>Hi,</P> <P>you can see all the package versions in the readme file in the app folder:</P> <UL> <LI>numpy 1.10.4</LI> <LI>scipy 0.17.0</LI> <LI>pandas 0.17.1</LI> <LI>scikit-learn 0.17.0</LI> </UL> Mon, 28 May 2018 09:59:40 GMT kbondarev 2018-05-28T09:59:40Z https://community.splunk.com/t5/Splunk-Dev/Splunk-ML-toolkit-Python-Scientific-Computing-pasty-package/m-p/343856#M5367 <P>Hello, I am writing a custom algorithm for fitting a GLM model for Negative Binomial using the latest versions of Splunk ML toolkit and Python for Scientific Computing on Splunk Enterprise (local).</P> <P>I encountered this issue:</P> <P>"ValueError: For numerical factors, num_columns must be an int"</P> <P>I researched a bit and found out that this is because of the 'pasty' package version 0.4 that comes with scipy. It occurs on Windows 64 bit.</P> <P>The solution is to upgrade the 'pasty' package to higher version. How do I upgrade this with the Python for Scientific Computing/ML Toolkit in Splunk?</P> <P>On a related note, how do I check what versions of scipy/other packages are being used in Python for Scientific Computing 1.2?</P> Fri, 09 Mar 2018 14:57:04 GMT https://community.splunk.com/t5/Splunk-Dev/Splunk-ML-toolkit-Python-Scientific-Computing-pasty-package/m-p/343856#M5367 absdef 2018-03-09T14:57:04Z https://community.splunk.com/t5/Splunk-Dev/Splunk-ML-toolkit-Python-Scientific-Computing-pasty-package/m-p/343857#M5368 <P>Hi,</P> <P>you can see all the package versions in the readme file in the app folder:</P> <UL> <LI>numpy 1.10.4</LI> <LI>scipy 0.17.0</LI> <LI>pandas 0.17.1</LI> <LI>scikit-learn 0.17.0</LI> </UL> Mon, 28 May 2018 09:59:40 GMT https://community.splunk.com/t5/Splunk-Dev/Splunk-ML-toolkit-Python-Scientific-Computing-pasty-package/m-p/343857#M5368 kbondarev 2018-05-28T09:59:40Z