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authorPrashant Sharma <prashant.s@imaginea.com>2014-01-02 18:37:40 +0530
committerPrashant Sharma <prashant.s@imaginea.com>2014-01-02 18:37:40 +0530
commitb810a85cdddb247e1a104f4daad905b97222ad85 (patch)
tree89744bc45d5e895aae5d32fd76e8ba35232f1139 /docs/mllib-guide.md
parent980afd280a331103ce7391adaf484dd497218741 (diff)
downloadspark-b810a85cdddb247e1a104f4daad905b97222ad85.tar.gz
spark-b810a85cdddb247e1a104f4daad905b97222ad85.tar.bz2
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spark-shell -> bin/spark-shell
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@@ -87,7 +87,7 @@ svmAlg.optimizer.setNumIterations(200)
val modelL1 = svmAlg.run(parsedData)
{% endhighlight %}
-Both of the code snippets above can be executed in `spark-shell` to generate a
+Both of the code snippets above can be executed in `bin/spark-shell` to generate a
classifier for the provided dataset.
Available algorithms for binary classification: