Re: ml models distribution

tribution of the models. But I wanted to know if there is any infrastructure in Spark that specifically addresses such need. Thanks. Cheers, P.S.: sorry Jacek, with "ml" I meant "Machine Learning". I thought is a quite spread acronym. Sorry for the possible confusion. -- S

ml models distribution

Hi, I have one question: How is the ML models distribution done across all nodes of a Spark cluster? I'm thinking about scenarios where the pipeline implementation does not necessary need to change, but the models have been upgraded. Thanks in advance. Best regards, -- Sergio Fernández

Re: processing 50 gb data using just one machine

In theory yes... the common sense say that: volume / resources = time So more volume on the same processing resources would just take more time. On Jun 15, 2016 6:43 PM, "spR" wrote: > I have 16 gb ram, i7 > > Will this config be able to handle the processing without my

Re: ImportError: No module named numpy

n >> >> Where your bin/python is your actual Python environment with Numpy >> installed. >> >> >> El 1 jun 2016, a las 20:16, Bhupendra Mishra <bhupendra.mis...@gmail.com> >> escribió: >> >> I have numpy installed but where I should setup P

Re: ImportError: No module named numpy

gt;> >>> File >>> "/opt/mapr/spark/spark-1.6.1/python/lib/pyspark.zip/pyspark/mllib/__init__.py", >>> line 25, in >>> >>> ImportError: No module named numpy >>> >>> >>> Thanks in advance! >>> >>&