[SPARK-2852][MLLIB] Separate model from IDF/StandardScaler algorithms

This is part of SPARK-2828:

1. separate IDF model from IDF algorithm (which generates a model)
2. separate StandardScaler model from StandardScaler

CC: dbtsai

Author: Xiangrui Meng <meng@databricks.com>

Closes #1814 from mengxr/feature-api-update and squashes the following commits:

40d863b [Xiangrui Meng] move mean and variance to model
48a0fff [Xiangrui Meng] separate Model from StandardScaler algorithm
89f3486 [Xiangrui Meng] update IDF to separate Model from Algorithm
SPARK-2905 Fixed path sbin => bin

Author: Oleg Danilov <oleg.danilov@wandisco.com>

Closes #1835 from dosoft/SPARK-2905 and squashes the following commits:

4df423c [Oleg Danilov] SPARK-2905 Fixed path sbin => bin
SPARK-2899 Doc generation is back to working in new SBT Build.

The reason for this bug was introduciton of OldDeps project. It had to be excluded to prevent unidocs from trying to put it on "docs compile" classpath.

Author: Prashant Sharma <prashant.s@imaginea.com>

Closes #1830 from ScrapCodes/doc-fix and squashes the following commits:

e5d52e6 [Prashant Sharma] SPARK-2899 Doc generation is back to working in new SBT Build.
SPARK-2787: Make sort-based shuffle write files directly when there's no sorting/aggregation and # partitions is small

As described in https://issues.apache.org/jira/browse/SPARK-2787, right now sort-based shuffle is more expensive than hash-based for map operations that do no partial aggregation or sorting, such as groupByKey. This is because it has to serialize each data item twice (once when spilling to intermediate files, and then again when merging these files object-by-object). This patch adds a code path to just write separate files directly if the # of output partitions is small, and concatenate them at the end to produce a sorted file.

On the unit test side, I added some tests that force or don't force this bypass path to be used, and checked that our tests for other features (e.g. all the operations) cover both cases.

Author: Matei Zaharia <matei@databricks.com>

Closes #1799 from mateiz/SPARK-2787 and squashes the following commits:

88cf26a [Matei Zaharia] Fix rebase
10233af [Matei Zaharia] Review comments
398cb95 [Matei Zaharia] Fix looking up shuffle manager in conf
ca3efd9 [Matei Zaharia] Add docs for shuffle manager properties, and allow short names for them
d0ae3c5 [Matei Zaharia] Fix some comments
90d084f [Matei Zaharia] Add code path to bypass merge-sort in ExternalSorter, and tests
31e5d7c [Matei Zaharia] Move existing logic for writing partitioned files into ExternalSorter
SPARK-2565. Update ShuffleReadMetrics as blocks are fetched

Author: Sandy Ryza <sandy@cloudera.com>

Closes #1507 from sryza/sandy-spark-2565 and squashes the following commits:

74dad41 [Sandy Ryza] SPARK-2565. Update ShuffleReadMetrics as blocks are fetched
[SPARK-2904] Remove non-used local variable in SparkSubmitArguments

Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp>

Closes #1834 from sarutak/SPARK-2904 and squashes the following commits:

38e7d45 [Kousuke Saruta] Removed non-used variable in SparkSubmitArguments
org.apache.spark.broadcast.TorrentBroadcast does use the serializer class specified in the spark option "spark.serializer"
TorrentBroadcast does not support broadcast compression