adding the functions used to build MlNetMklDeps for 0.0.0.6

docs/building/MlNetMklDeps/MlNetMklDeps.nuspec

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+<?xml version="1.0"?>
+<package xmlns="http://schemas.microsoft.com/packaging/2013/01/nuspec.xsd">
+  <metadata>
+    <id>MlNetMklDeps</id>
+    <version>0.0.0.6</version>
+    <title>This NuGet package provides Intel(R) MKL dependencies for ML.NET</title>
+    <authors>Intel Corporation</authors>
+    <owners>Microsoft</owners>
+    <projectUrl>https://dot.net/ml</projectUrl>
+    <licenseUrl>https://software.intel.com/en-us/license/intel-simplified-software-license</licenseUrl>
+    <requireLicenseAcceptance>true</requireLicenseAcceptance>
+    <description>
+      Intel(R) MKL Dependencies for Microsoft ML.NET. 
+    </description>
+    <copyright>Copyright (c) 2018 Intel Corporation.</copyright>
+    <tags>ML.Net Mkl Deps</tags>
+  </metadata>
+</package>

docs/building/MlNetMklDeps/README.md

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+#Instructions to build a custom DLL from Intel's MKL SDK
+ML.NET MKL implementation uses Intel MKL Custom DLL builder to produce a single DLL which contains all of the MKL functions used by it.
+To update the DLL, follow the steps below:
+
+Windows (32 and 64 bit):
+- Ensure you have Intel's MKL SDK installed, you can find it here: https://software.intel.com/en-us/mkl.
+- Open an admin command prompt and run the following commands, CAREFULLY INSPECTING THE COMMAND OUTPUT FOR ERRORS.
+- TLCROOT should be the root of your TLC_Resources folder.
+
+##Windows
+1. Modify user_example_list file in directory to contain all required functions, that are present in the [mlnetmkl.list](mlnetmkl.list) file
+2. "C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\vcvarsall.bat" x86
+3. nmake libia32 name=MklImports  (add threading=sequential if you are building without openmp)
+4. copy /Y Microsoft.ML.MklImports.* to the folder that will host the x86 binaries. 
+5. del Microsoft.ML.MklImports.*
+6. "C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\vcvarsall.bat" amd64
+7. nmake intel64 name=MklImports (add threading=sequential if you are building without openmp)
+8. copy /Y Microsoft.ML.MklImports.* to the folder that will host the x64 binaries.
+
+##Linux
+1. untar the linux sdk (tar -zxvf name_of_downloaded_file)
+2. Run installation script and follow the instuctions in the dialog screens that are presented ./install.sh
+3. Go to /opt/mkl/tools/builder.
+4. Modify makefile add -Wl,-rpath,'$$ORIGIN' \ -Wl,-z,origin \  after -Wl,--end-group \
+5. Modify user_example_list file in directory to contain all the required functions, that are present in the [mlnetmkl.list](mlnetmkl.list) file
+6. Run make intel64 name=libMklImports (add threading=sequential if you are building without openmp)
+7. Copy libMklImports.so the folder containing the Linux binaries.
+
+##OSX
+1. extract and install the dmg (double-click and drag it in the Applications folder)
+2. Go to /opt/mkl/tools/builder.
+3. Modify user_example_list file in directory to contain all the required functions, that are present in the [mlnetmkl.list](mlnetmkl.list) file
+4. Run make intel64 name=libMklImports (add threading=sequential if you are building without openmp)
+5. Copy libMklImports.dylib from the builder directory to the folder containign the OSX binaries.
+6. Fix the id and the rpath running the following commands:
+   sudo install_name_tool -id "@loader_path/libMklImports.dylib" libMklImports.dylib 
+   sudo install_name_tool -id "@rpath/libMklImports.dylib" libMklImports.dylib

docs/building/MlNetMklDeps/mlnetmkl.list

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+; MKL custom dll built for ML.NET
+; Note that function names are case-sensitive, for example, you must specify LAPACKE_sgesvd rather than lapacke_sgesvd.
+
+;---- CBLAS ----
+cblas_sdot
+cblas_sdoti
+
+cblas_sasum
+cblas_snrm2
+cblas_scopy
+cblas_isamin
+cblas_isamax
+
+cblas_ssymv
+cblas_saxpy
+cblas_saxpyi
+cblas_daxpy
+cblas_sscal
+cblas_dscal
+
+cblas_sger
+cblas_dger
+cblas_sgemv
+cblas_dgemv
+
+cblas_sgemm
+cblas_dgemm
+
+mkl_sdnscsr
+mkl_scsrmv
+mkl_dcsrmv
+mkl_scsrmm
+mkl_dcsrmm
+mkl_scscmm
+mkl_scsrcsc
+mkl_cspblas_scsrgemv
+
+MKL_Simatcopy
+MKL_Dimatcopy
+MKL_Somatcopy
+MKL_Domatcopy
+
+LAPACKE_sgesvd
+LAPACKE_dgesvd
+
+LAPACKE_dpptrf
+LAPACKE_dpptri
+LAPACKE_dpptrs
+
+;---- VML -----
+vsAbs
+vdAbs
+vsAdd
+vdAdd
+vsTanh
+vdTanh
+vsExp
+vdExp
+vsMul
+vdMul
+vsSqr
+vdSqr
+vsSqrt
+vdSqrt
+
+;---- RNG ----
+vslNewStream
+vslDeleteStream
+vdRngUniform
+vsRngUniform
+
+;---- FOURIER ----
+DftiCreateDescriptor
+DftiSetValue
+DftiGetValue
+DftiCommitDescriptor
+
+DftiComputeForward
+DftiComputeBackward
+
+DftiFreeDescriptor
+DftiErrorClass
+DftiErrorMessage

docs/building/MlNetMklDeps/version.md

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+#Intel MKl SDK versions used to build the MlNetMklDeps v0.0.0.4-0.0.0.6
+
+##Sdk Version
+linux and windows: mkl 2018 update 3
+mac: mkl 2018 update 1
+
+##Exact versions, including minors
+mac: 2018.1.126
+linux: 2018.3.222
+windows: 2018.3.210