Is there any reason why the R script below

library(reticulate)

sk <- import('sklearn')
np <- import('numpy')

a <- np$random$random(c(as.integer(5000), as.integer(5000)))
pca <- sk$decomposition$PCA(as.integer(100))

pca$fit(a)

runs on 4 cores when I try it locally, but it uses only 1 core inside a docker container? I am using --cpuset-cpus="0-3" and have verified by running the same task in python that the container has access to all 4 cores. I also tried a bunch of other things, but I can't seem to figure out a reason for this behavior. Anybody has any idea?

Google BigQuery has now reached a maturity with their StandardSQL implementation that it should be relatively straightforward and stable to add support for BigQuery StandardSQL datatypes in Vertabelo.  This would be huge for me and many others in the big data space.

I would appreciate it if you support switch view the name/code convention in one diagram.

same in the pdf version:

Hi, does Vertabelo allow you to create a table using a script ?.

This feature would be extremely helpful.

Is there is an on-premise solution ?

When setting 'scroll to zoom' option to 'NO', that is only reflected in Physical models and not Logical.  When this feature is turned on, it is basically impossible to use Vertabelo on a Mac.  

It looks like the data type selection for Attributes has a typo. I think it should be DateTime not DataTime. 

I Mistakenly added basic plan accidently, becuase i needed the feature of adding subject area.

but in basic plan i am not able to do so, so please cancel the subscription and refund my money.