Preparation for v1.5.2 release

Author: mandar2812

build.sbt

@@ -9,7 +9,7 @@ packageSummary := "Scala Library/REPL for Machine Learning Research"
 
 packageDescription := "DynaML is a Scala environment for conducting research and education in Machine Learning. DynaML comes packaged with a powerful library of classes for various predictive models and a Scala REPL where one can not only build custom models but also play around with data work-flows. It can also be used as an educational/research tool for data analysis."
 
-val mainVersion = "v1.5.2-beta.4"
+val mainVersion = "v1.5.2"
 
 val dataDirectory = settingKey[File]("The directory holding the data files for running example scripts")
 

copy-docs.sh

@@ -11,4 +11,5 @@ sbt stage
 cp -R dynaml-core/target/scala-2.11/api/* ../transcendent-ai-labs.github.io/api_docs/DynaML/$1/dynaml-core/
 cp -R dynaml-pipes/target/scala-2.11/api/* ../transcendent-ai-labs.github.io/api_docs/DynaML/$1/dynaml-pipes/
 cp -R dynaml-examples/target/scala-2.11/api/* ../transcendent-ai-labs.github.io/api_docs/DynaML/$1/dynaml-examples/
+cp -R dynaml-repl/target/scala-2.11/api/* ../transcendent-ai-labs.github.io/api_docs/DynaML/$1/dynaml-repl/
 cp -R target/scala-2.11/api/* ../transcendent-ai-labs.github.io/api_docs/DynaML/$1/dynaml-repl/

docs/releases/mydoc_release_notes_152.md

@@ -0,0 +1,51 @@
+!!! summary ""
+    Version 1.5.2 of DynaML, released March 2, 2017, 
+    introduces functionality through improvement in the pipes API and 
+    increased integration with Tensorflow.
+
+
+## Additions
+
+ ### Tensorflow Integration
+ 
+ - Tensorflow (beta) support now live, thanks to the [tensorflow_scala](https://github.com/eaplatanios/tensorflow_scala) project! Try it out in:
+     * [CIFAR-10](https://github.com/transcendent-ai-labs/DynaML/blob/master/scripts/cifar.sc) example script
+     * [MNIST](https://github.com/transcendent-ai-labs/DynaML/blob/master/scripts/mnist.sc) example script
+ 
+ **Package** `dynaml.tensorflow`
+ 
+ - The `dtf` package object houses utility functions related to tensorflow primitives. Currently supports creation of tensors from arrays.
+ - The `dtflearn` package object deals with basic neural network building blocks which are often needed while constructing prediction architectures.
+ 
+
+ ### Library Organisation
+ 
+ - Added `dynaml-repl` and `dynaml-notebook` modules to repository.
+ 
+ ### DynaML Server
+ 
+ - DynaML ssh server now available 
+   ```bash
+   $ ./target/universal/stage/bin/dynaml --server
+   ```
+   To login to the server open a separate shell and type
+   ```bash
+   $ ssh repl@localhost -p22222
+   ```
+
+ ### Basis Generators
+ - Legrendre polynomial basis generators
+  
+## Bugfixes
+
+ - Acceptance rule of `HyperParameterMCMC` and related classes.
+
+## Changes
+
+ - Increased pretty printing to screen instead of logging.
+
+
+## Cleanup
+
+**Package** `dynaml.models.svm`
+ - Removal of deprecated model classes from `svm` package

dynaml-core/src/main/scala-2.11/io/github/mandar2812/dynaml/tensorflow/TensorBasis.scala

@@ -0,0 +1,37 @@
+/*
+Licensed to the Apache Software Foundation (ASF) under one
+or more contributor license agreements.  See the NOTICE file
+distributed with this work for additional information
+regarding copyright ownership.  The ASF licenses this file
+to you under the Apache License, Version 2.0 (the
+"License"); you may not use this file except in compliance
+with the License.  You may obtain a copy of the License at
+
+  http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing,
+software distributed under the License is distributed on an
+"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+KIND, either express or implied.  See the License for the
+specific language governing permissions and limitations
+under the License.
+* */
+package io.github.mandar2812.dynaml.tensorflow
+
+import io.github.mandar2812.dynaml.pipes.DataPipe
+import org.apache.spark.annotation.Experimental
+import org.platanios.tensorflow.api.Tensor
+
+/**
+  * A basis function expansion yielding a TF tensor.
+  * */
+@Experimental
+case class TensorBasis[-I](f: (I) => Tensor) extends DataPipe[I, Tensor] {
+
+  self =>
+
+  override def run(data: I): Tensor = f(data)
+
+  def >(other: DataPipe[Tensor, Tensor]): TensorBasis[I] = TensorBasis((x: I) => other.run(self.f(x)))
+
+}

mkdocs.yml

@@ -13,6 +13,7 @@ pages:
     - 'Structure': structure.md
     - Releases:
       - 'v1.5.x':
+        - 'v1.5.2': 'releases/mydoc_release_notes_152.md'
         - 'v1.5.1': 'releases/mydoc_release_notes_151.md'
         - 'v1.5': 'releases/mydoc_release_notes_15.md'
       - 'v1.4.x':