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License: Apache License 2.0
Population Stratification Analysis on Genomics Data Using Deep Learning
License: Apache License 2.0
This is a fascinating set of ideas. However, with
%vjcair> *1/bin/sparkling-shell
-----
Spark master (MASTER) : local-cluster[3,2,2048]
Spark home (SPARK_HOME) : /Users/stvjc/Research/SPARK/spark-1.5.2-bin-hadoop2.6
----
15/12/06 10:26:28 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/___/ .__/\_,_/_/ /_/\_\ version 1.5.2
/_/
Using Scala version 2.10.4 (Java HotSpot(TM) 64-Bit Server VM, Java 1.7.0_67)
Type in expressions to have them evaluated.
we have
scala> package com.neilferguson
<console>:1: error: illegal start of definition
package com.neilferguson
^
scala>
scala> import hex.FrameSplitter
<console>:19: error: missing arguments for method hex in object functions;
follow this method with `_' if you want to treat it as a partially applied function
import hex.FrameSplitter
I understand that if we use docker or specific EC2 setups we can get your results.
But what about a standalone deployment of spark+H2O+ adam? Is it possible to define and
maintain the example scripts so that a fixed source+data+environment on a linux machine with specified
endowments can run the example?
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