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Label encoding across multiple columns in scikit-learn
... encode a pandas DataFrame of string labels. As the dataframe has many (50+) columns, I want to avoid creating a LabelEncoder object for each column; I'd rather just have one big LabelEncoder objects that works across all my columns of data.
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Warning: The Copy Bundle Resources build phase contains this target's Info.plist file
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edited Jun 20 at 9:12
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answered Jun 22 '10 at 17:54
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Using .otf fonts on web browsers
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edited Sep 20 at 14:02
answered Jul 14 '10 at 10:20
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Extract TortoiseSVN saved password
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rkagererrkagerer
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Naming convention for unique constraint
...en a unique constraint and a unique index is INCLUDE columns.
Edit: Feb 2013. Since SQL Server 2008, indexes can have filters too. Constraints can not
So, it comes down to one of
stick with UQ as per the rest of the SQL-using planet
use IK for unique indexes (IKC for clustered too) to be consis...
Python's “in” set operator
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Yes, but it also means hash(b) == hash(x), so equality of the items isn't enough to make them t...
PhpStorm wrap/surround selection?
... -> Surround selection on typing quote or brace.
Update (for PhpStorm 2016)
For PhpStorm Version 2016, use Cmd + Alt + S (on Mac) or Ctrl + Alt + S (on Win) to go to Settings. Tick on checkbox of Settings -> Editor -> General -> Smart Keys -> Surround selection on typing quote or b...
Difference between web reference and service reference?
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The low-level answer here is that a Web Reference will create a client proxy class that allows ...
Android SharedPreference security
...Application Security for the Android Platform, just published in December 2011 (disclaimer: I'm the author of this book).
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Difference between reduce and foldLeft/fold in functional programming (particularly Scala and Scala
...mmutative and associative binary operator"
http://spark.apache.org/docs/1.0.0/api/scala/index.html#org.apache.spark.rdd.RDD
Here is proof that reduce is NOT just a special case of foldLeft
scala> val intParList: ParSeq[Int] = (1 to 100000).map(_ => scala.util.Random.nextInt()).par
scala>...