GenDocSvec: bugfix to match types b/w C and SQL

Pivotal Tracker: #67677020 (hit when generating big datasets for kmeans)
Deprecated profile, svd_mf, quantile

Pivotal Tracker #68032808
Additional Author Pei, Liquan <lpei@gopivotal.com>
Change list:
	1. Added in ReleaseNotes that profile, svdmf and quantile are
	deprecated
	2. Move profile, svdmf and quantile to deprecated module section
	in online documentation
	3. Change the documentation in relevant .sql_in files
Squashed commit of the following:

commit 2ffe0812dbb357b00bc3ecccd602612dfed96b68
Author: Feng, Xixuan (Aaron) <xfeng@gopivotal.com>
Date:   Thu Mar 27 13:23:29 2014 -0700

    minor fix

commit 1f150ae3bbe0c623e1bd7b706219200478474423
Author: Feng, Xixuan (Aaron) <xfeng@gopivotal.com>
Date:   Thu Mar 27 12:30:03 2014 -0700

    Deprecated profile, svd_mf, quantile
array_ops: Add array_scalar_add function

Jira: MADLIB-828

Adding a function to add a scalar to an array in a similar way to array_scalar_mult does for multiplication.
Array Ops: install-check for array_scalar_add

JIRA: MADLIB-828
Pivotal Tracker: #68393766
SVM: Fix svm_dot kernel function property

Pivotal Tracker: #68667756

Additional author: LiquanPei <liquanpei@gmail.com>
Fix python module name conflict by prepending to sys.path

JIRA: MADLIB-826
Prepend PLPYTHON_LIBDIR before trying

MADLIB-826
Fix bugs in iteration controller for HAWQ and fix user doc for cross validation

Additional Author: Qian, Hai <hqian@gopivotal.com>
Array ops: numeric type, array_filter, bug fixes

Pivotal Tracker: #68767594

Additional author: Feng, Xixuan (Aaron) <xfeng@gopivotal.com>

Changes:
- numeric type support for all functions with anyarray (MADLIB-807 and MADLIB-819)
- added array_filter (MADLIB-279)
- bug fixes and parameter validations (MADLIB-811, and more caught by adding tests)
- refactored C code to perform computation using float8
Doc: multi-logregr and elastic net minor fix

Changes:
- clarification of the optimizer parameters in multi-logregr
- default value for stopping threshold in elastic net
Documentation: array ops examples

Pivotal Tracker: #69147706

Additional author: Feng, Xixuan (Aaron) <xfeng@gopivotal.com>
Margins Logregr: New interface + functionality for interaction terms

Pivotal Tracker: 67684630, 60733090

Additional authors:
Shengwen Yang <syang@gopivotal.com>
Qian, Hai <hqian@gopivotal.com>

Changes:
    - Deprecated the old interface and introduced a new single 'margins'
    function.
    - The new function takes the model table from regression as an input and
    does not run the underlying regression again. The 'margins' function detects
    the regression method from the model summary table and runs the appropriate
    calculation.
    - If interaction terms are present in the independent variables, then
    an x_design string is expected that describes the interactions.
Margins: Update create derivative to get discrete diff for categoricals

Changes:
    - Updated the derivative matrix computation to compute discrete
    differences for categorical variables. This can be overridden with a flag.
    - Added an interaction test in install-check.
Margins Logregr: Add grouping support

    Pivotal Tracker: 51941151

    Additional authors:
    Qian, Hai <hqian@gopivotal.com>
    Rahul Iyer <riyer@gopivotal.com>

    Changes:
        - Add the grouping support (When the model is trained with the grouping_col not null, the margins will be computed for each group)
        - Add a utility function for creating dummy coding for categorical variables
Grouping Support: validate name conflicts

JIRA: MADLIB-833

Additional minor fix: support v1.5dev in hawq_install.sh
Margins: Support for linear regression

Pivotal Tracker: 69949228

Changes:
  - Added new computation for marginal effects of a linear regression model
  - Refactored margins code to abstract the common code between logisitic and
  linear
  - Updated linregr to ouput variance-covariance
LDA: Validation for output table existence

JIRA: MADLIB-839
LSVM: add null-handling for training and predict

JIRA: MADLIB-599
Documentation: aesthetic and usability ehancements

Changes:
- Replace MADlib with the logo
- Add links to earlier releases to main page
- Link logo to madlib.net
K-Means: check the dimension of input data points

Additional author: Feng, Xixuan (Aaron) <xfeng@gopivotal.com>

JIRA: MADLIB-789
Pivotal Tracker: #70256592

Also fix a bug which may raise SIG BUS in weighted sampling