Hi @liqg Thanks for the question. You will need to convert the mx objects to R supported arrays and use that to subset. ```python library(mxnet) a <- mx.nd.ones(10) b<-as.array(a) b[1] [1] 1 b[1:2] [1] 1 1
features <- mx.nd.random.normal(scale=1, shape=c(100, 2)) c<-as.array(features) c[1,1] [1] -0.7248557 ``` [ Full content available at: https://github.com/apache/incubator-mxnet/issues/12546 ] This message was relayed via gitbox.apache.org for [email protected]
