From 29020d0de04d96ed22588d8fa1d4bb50b57e1700 Mon Sep 17 00:00:00 2001
From: Philip Yang <philip.yang@databricks.com>
Date: Sat, 14 Oct 2017 16:06:34 -0700
Subject: [PATCH 1/5] docker image for spark

---
 docker/Dockerfile    | 58 ++++++++++++++++++++++++++++++++++++++++++++
 docker/entrypoint.sh | 11 +++++++++
 2 files changed, 69 insertions(+)
 create mode 100644 docker/Dockerfile
 create mode 100755 docker/entrypoint.sh

diff --git a/docker/Dockerfile b/docker/Dockerfile
new file mode 100644
index 00000000..81037d8c
--- /dev/null
+++ b/docker/Dockerfile
@@ -0,0 +1,58 @@
+FROM ubuntu:16.04
+
+# Pick up some TF dependencies
+RUN apt-get update && apt-get install -y --no-install-recommends \
+        build-essential \
+        curl \
+        libfreetype6-dev \
+        libpng12-dev \
+        libzmq3-dev \
+        pkg-config \
+        python \
+        python-dev \
+        rsync \
+        software-properties-common \
+        unzip \
+        openjdk-8-jdk \
+        openjdk-8-jre-headless \
+        && \
+    apt-get clean && \
+    rm -rf /var/lib/apt/lists/*
+
+RUN rm /bin/sh && ln -s /bin/bash /bin/sh
+
+# Please don't set DEBIAN_FRONTEND.
+# Checkout "Why is DEBIAN_FRONTEND=noninteractive discouraged in Dockerfiles?"
+# from https://docs.docker.com/engine/faq/ for details.
+# ENV DEBIAN_FRONTEND noninteractive
+
+RUN curl -O https://bootstrap.pypa.io/get-pip.py && \
+    python get-pip.py && \
+    rm get-pip.py
+
+RUN pip --no-cache-dir install \
+        Pillow \
+        h5py \
+        numpy \
+        pandas \
+        scipy \
+        sklearn \
+        ipython \
+        pyspark
+
+# Install TensorFlow CPU verion from central
+RUN pip --no-cache-dir install \
+    'http://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=cpu-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-1.head-cp27-cp27mu-linux_x86_64.whl'
+
+ENV SPARK_WORKER_PORT 8888
+
+EXPOSE 4040 6066 7077 8080 8888
+
+# Avoid the default Docker behavior of mapping our IP address to an unreachable host name
+
+RUN mkdir -p /phi9t
+COPY entrypoint.sh /phi9t/.
+
+WORKDIR /workspace
+
+ENTRYPOINT ["/phi9t/entrypoint.sh"]
diff --git a/docker/entrypoint.sh b/docker/entrypoint.sh
new file mode 100755
index 00000000..38698cb9
--- /dev/null
+++ b/docker/entrypoint.sh
@@ -0,0 +1,11 @@
+#!/bin/bash
+
+IP_ADDR="$(ip -o -4 addr list eth0 | perl -n -e 'if (m{inet\s([\d\.]+)\/\d+\s}xms) { print $1 }')"
+echo "Container IP Address: $IP_ADDR"
+#export MASTER="spark://${IP_ADDR}:7077"
+export SPARK_LOCAL_IP="${IP_ADDR}"
+export SPARK_PUBLIC_DNS="${IP_ADDR}"
+
+umount /etc/hosts
+
+exec ipython -i $@

From 0b7b06b86c322a429ae4729050591a2ec23f4e55 Mon Sep 17 00:00:00 2001
From: Philip Yang <philip.yang@databricks.com>
Date: Sat, 14 Oct 2017 16:12:51 -0700
Subject: [PATCH 2/5] docs

---
 README.md | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/README.md b/README.md
index fa4a16d9..4f751912 100644
--- a/README.md
+++ b/README.md
@@ -244,4 +244,9 @@ registerKerasImageUDF("my_keras_inception_udf", InceptionV3(weights="imagenet"),
 ### Estimator
 
 ## Releases:
+* 0.2.0 Feature
+  - TFTransformer
+  - KerasEstimator
+  - TFImage Applications
+  - Developer tools
 * 0.1.0 initial release

From 120c00cb8bda578b60a0c97c8a6ddd577aebd94e Mon Sep 17 00:00:00 2001
From: Philip Yang <philip.yang@databricks.com>
Date: Sat, 14 Oct 2017 16:34:42 -0700
Subject: [PATCH 3/5] generate pyspark scripts

---
 bin/totgen.sh | 246 ++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 246 insertions(+)
 create mode 100755 bin/totgen.sh

diff --git a/bin/totgen.sh b/bin/totgen.sh
new file mode 100755
index 00000000..14bbd81e
--- /dev/null
+++ b/bin/totgen.sh
@@ -0,0 +1,246 @@
+#!/bin/bash
+
+#######################################################
+# Create the list of necessary environment variables
+scala_major_ver=2.11
+package_name="sparkdl"
+######################################################
+
+set -eu
+
+# The current directory of the script.
+_bsd_="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)/.."
+
+function log_info { >&2 echo "$(tput setaf 6)INFO: $@$(tput sgr0)"; }
+function quit_with { >&2 echo "$(tput setaf 1)ERROR: $@$(tput sgr0)"; exit 1; }
+
+[[ -n "${SPARK_HOME:-}" ]] || \
+    quit_with "must provide Spark home"
+
+host_spark_home="${SPARK_HOME:-}"
+
+# Generate required classpaths
+[[ -x "${_bsd_}/sbt" ]] || \
+    quit_with "cannot locate runnable project sbt executable"
+
+sbt_path_root="${_bsd_}/.sbt.paths"
+function tr_classpath { perl -pe "s@~@$HOME@g" "${sbt_path_root}/$@"; }
+function mk_classpath { local IFS=':'; echo "$*"; }
+
+# Spark packages are cached in local ivy cache
+(cd "${_bsd_}"
+ #./sbt genClasspath assembly
+ #./sbt genClasspath spPackage
+ ./sbt genClasspath spDist
+ cd "${sbt_path_root}"
+ rm -f SPARK_PACKAGE_PYREQ && touch $_
+ for spkg in $(cat SBT_SPARK_PACKAGE_CLASSPATH | tr ':' '\n'); do
+     log_info "[py-deps]: ${spkg}"
+     printf "\n# BEGIN: $(basename $spkg)\n" >> SPARK_PACKAGE_PYREQ
+     spkg_pyreq="$(jar -tf "${spkg}" | grep -Ei 'requirements.txt' || echo 'none')"
+     if [[ "none" != "${spkg_pyreq}" ]]; then
+         unzip -p "${spkg}" "${spkg_pyreq}" >> SPARK_PACKAGE_PYREQ
+     else
+         log_info "didn't detect requirements.txt"
+     fi
+     printf "\n# END: $(basename $spkg)\n" >> SPARK_PACKAGE_PYREQ
+ done
+ perl -pe "s@${HOME}@~@g" SBT_SPARK_PACKAGE_CLASSPATH > SPARK_PACKAGE_CLASSPATH
+ perl -pe "s@${HOME}@~@g" SBT_RUNTIME_CLASSPATH > SPARK_RUNTIME_EXTRA_CLASSPATH
+ rm -f SBT_*_CLASSPATH
+)
+
+# Find the local assembly jar, if any
+_sbt_target_path="${_bsd_}/target/scala-${scala_major_ver}"
+#assembly_jar="$(find ${_sbt_target_path} -name "*-assembly*.jar" -type f | uniq)"
+spkg_zip="$(find ${_sbt_target_path}/.. -name "*${scala_major_ver}.zip" -type f | uniq)"
+
+# Setup python paths
+_proj_pypath="${_bsd_}"/python
+_spark_pypath="${SPARK_HOME}"/python:"$(find "${SPARK_HOME}"/python/lib/ -name 'py4j-*-src.zip' -type f | uniq)"
+_spark_pkg_path="$(tr_classpath SPARK_PACKAGE_CLASSPATH)"
+_spark_pkg_pyreq="${sbt_path_root}/SPARK_PACKAGE_PYREQ"
+
+# Notice that spark submit requires colons
+#_spark_pkg_submit_common="${assembly_jar},${_spark_pkg_path}"
+#_spark_pkg_submit_common="${_spark_pkg_path}"
+_spark_pkg_submit_common="${spkg_zip},${_spark_pkg_path}"
+
+_submit_py_files="${_spark_pkg_submit_common}"
+_submit_jars="${_spark_pkg_submit_common}"
+
+log_info "[spark submit] --jars ${_submit_jars}"
+log_info "[spark submit] --py-files ${_submit_py_files}"
+
+# Provide required python and jar files for Spark testing cluster
+# Create individial scripts
+
+#######################################################
+# PySpark
+#######################################################
+
+SCPT="${_bsd_}/.EXEC_SCRIPT"
+
+function SCPT_BEGIN {
+    rm -f "${SCPT}" && touch $_ && chmod +x $_
+    cat << '_SCPT_HEADER_EOF_' >> "${SCPT}"
+#!/usr/bin/env bash
+##%%----
+## Generated automatically
+##%%----
+
+_bsd_="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )"
+
+function quit_with { >&2 echo "ERROR: $@"; exit 1; }
+function check_vars {
+         for _varname in ${@}; do
+                  local _var="$(eval "echo \$${_varname}")"
+                  [[ -n "${_var}" ]] || quit_with "${_varname} not defined"
+         done
+}
+
+_SCPT_HEADER_EOF_
+
+cat << _SCPT_HEADER_VAR_EOF_ >> "${SCPT}"
+##%%----
+# Global variables
+
+spark_pkg_path="${_spark_pkg_path}"
+
+##%%----
+_SCPT_HEADER_VAR_EOF_
+}
+
+function SCPT_PYSPARK_BODY {
+    cat << _SCPT_LOCAL_VAR_EOF_ >> "${SCPT}"
+##%%----
+# Local variables
+
+_proj_pypath="${_proj_pypath}"
+_spark_pypath="${_spark_pypath}"
+_spark_pkg_pypath="${_spark_pkg_path}"
+_submit_jars="${_submit_jars}"
+_submit_py_files="${_submit_py_files}"
+
+##%%----
+_SCPT_LOCAL_VAR_EOF_
+
+    cat << '_EXEC_SCRIPT_EOF_' >> "${SCPT}"
+check_vars _py _ipy _pyspark
+
+_local_pypath="$(${_py} -c 'import site; print(site.USER_SITE)')"
+
+export PYSPARK_PYTHON=${_py}
+export PYSPARK_DRIVER_PYTHON=${_ipy}
+export PYSPARK_DRIVER_PYTHON_OPTS="-i --simple-prompt --pprint"
+# We should only be using the assembly to make sure consistency
+# REPL based development could always go and reload pieces
+export PYTHONPATH="${_proj_pypath}:${_local_pypath}:${_spark_pypath}:${_spark_pkg_pypath}"
+#export PYTHONPATH="${_local_pypath}:${_spark_pypath}:${_spark_pkg_pypath}"
+
+exec "${_pyspark}" \
+     --master "local[4]" \
+     --conf spark.app.name="[drgscl]::pyspark" \
+     --conf spark.eventLog.enabled=false \
+     --conf spark.driver.memory=10g \
+     --conf spark.executor.memory=10g \
+     --py-files "${_submit_py_files}" \
+     --jars "${_submit_jars}" \
+     --verbose \
+     $@
+
+_EXEC_SCRIPT_EOF_
+}
+
+
+function SCPT_SPARK_SHELL_BODY {
+    cat << '_EXEC_SCRIPT_EOF_' >> "${SCPT}"
+check_vars _spark_shell
+check_vars _submit_jars
+
+exec "${_spark_shell}" \
+     --master "local[4]" \
+     --conf spark.app.name="[drgscl]::spark-shell" \
+     --conf spark.eventLog.enabled=false \
+     --jars "${_submit_jars}" \
+     $@
+
+_EXEC_SCRIPT_EOF_
+}
+
+#######################################################
+# Documentation
+#######################################################
+
+function gen_jekyll {
+    SCPT_BEGIN
+    cat << _SCPT_LOCAL_VAR_EOF_ >> "${SCPT}"
+##%%----
+# Local variables
+
+this_package="${package_name}"
+_proj_pypath="${_proj_pypath}"
+_spark_pypath="${_spark_pypath}"
+_spark_pkg_pypath="${_spark_pkg_path}"
+_spark_pkg_prereqs="${_spark_pkg_pyreq}"
+export SPARK_HOME="${host_spark_home}"
+_py="$(which python)"
+_pip="$(which pip)"
+
+##%%----
+_SCPT_LOCAL_VAR_EOF_
+
+    cat << '_EXEC_SCRIPT_EOF_' >> "${SCPT}"
+check_vars _py _pip
+_local_pypath="$(${_py} -c 'import site; print(site.USER_SITE)')"
+export PYTHONPATH="${_local_pypath}:${_proj_pypath}:${_spark_pypath}:${_spark_pkg_pypath}"
+
+pip install --user -r "${_spark_pkg_prereqs}"
+
+(cd ${_bsd_}/python && sphinx-apidoc -f -o docs ${this_package})
+
+pushd "${_bsd_}/docs"
+jekyll $@
+popd
+
+_EXEC_SCRIPT_EOF_
+
+    mv "${SCPT}" ${_bsd_}/.jekyll
+}
+
+function gen_py2_spark_shell {
+    SCPT_BEGIN
+    cat << _SCPT_VAR_EOF_ >> "${SCPT}"
+_py="$(which python2)"
+_ipy="$(which ipython2)"
+_pyspark="${SPARK_HOME}"/bin/pyspark
+_SCPT_VAR_EOF_
+    SCPT_PYSPARK_BODY
+    mv "${SCPT}" ${_bsd_}/.py2.spark.shell
+}
+
+function gen_py3_spark_shell {
+    SCPT_BEGIN
+    cat << _SCPT_VAR_EOF_ >> "${SCPT}"
+_py="$(which python3)"
+_ipy="$(which ipython3)"
+_pyspark="${SPARK_HOME}"/bin/pyspark
+_SCPT_VAR_EOF_
+    SCPT_PYSPARK_BODY
+    mv "${SCPT}" ${_bsd_}/.py3.spark.shell
+}
+
+function gen_spark_shell {
+    SCPT_BEGIN
+    cat << _SCPT_VAR_EOF_ >> "${SCPT}"
+_spark_shell="${SPARK_HOME}"/bin/spark-shell
+_submit_jars="${_submit_jars}"
+_SCPT_VAR_EOF_
+    SCPT_SPARK_SHELL_BODY
+    mv "${SCPT}" ${_bsd_}/.spark.shell
+}
+
+gen_py2_spark_shell
+gen_py3_spark_shell
+gen_spark_shell
+gen_jekyll

From 49b9ea439f57d0198f2052754abacff70acc3998 Mon Sep 17 00:00:00 2001
From: Philip Yang <philip.yang@databricks.com>
Date: Sat, 14 Oct 2017 16:36:14 -0700
Subject: [PATCH 4/5] tools

---
 bin/totgen.sh                    |  3 ++
 build.sbt                        | 16 ++-----
 linter.sh                        | 14 ++++++
 project/GenClasspathPlugin.scala | 78 ++++++++++++++++++++++++++++++++
 project/LibDeps.scala            | 26 +++++++++++
 prospector.yaml                  | 39 ++++++++++++++++
 6 files changed, 163 insertions(+), 13 deletions(-)
 create mode 100755 linter.sh
 create mode 100644 project/GenClasspathPlugin.scala
 create mode 100644 project/LibDeps.scala
 create mode 100644 prospector.yaml

diff --git a/bin/totgen.sh b/bin/totgen.sh
index 14bbd81e..06c7b454 100755
--- a/bin/totgen.sh
+++ b/bin/totgen.sh
@@ -162,7 +162,10 @@ exec "${_spark_shell}" \
      --master "local[4]" \
      --conf spark.app.name="[drgscl]::spark-shell" \
      --conf spark.eventLog.enabled=false \
+     --conf spark.driver.memory=10g \
+     --conf spark.executor.memory=10g \
      --jars "${_submit_jars}" \
+     --verbose \
      $@
 
 _EXEC_SCRIPT_EOF_
diff --git a/build.sbt b/build.sbt
index 95bc6043..bc04b090 100644
--- a/build.sbt
+++ b/build.sbt
@@ -1,16 +1,6 @@
 // Your sbt build file. Guides on how to write one can be found at
 // http://www.scala-sbt.org/0.13/docs/index.html
-
-val sparkVer = sys.props.getOrElse("spark.version", "2.1.1")
-val sparkBranch = sparkVer.substring(0, 3)
-val defaultScalaVer = sparkBranch match {
-  case "2.0" => "2.11.8"
-  case "2.1" => "2.11.8"
-  case "2.2" => "2.11.8"
-  case _ => throw new IllegalArgumentException(s"Unsupported Spark version: $sparkVer.")
-}
-val scalaVer = sys.props.getOrElse("scala.version", defaultScalaVer)
-val scalaMajorVersion = scalaVer.substring(0, scalaVer.indexOf(".", scalaVer.indexOf(".") + 1))
+import libdeps.LibVers._
 
 sparkVersion := sparkVer
 
@@ -19,7 +9,7 @@ scalaVersion := scalaVer
 spName := "databricks/spark-deep-learning"
 
 // Don't forget to set the version
-version := s"0.1.0-spark$sparkBranch"
+version := s"0.2.0-spark$sparkBranch"
 
 // All Spark Packages need a license
 licenses := Seq("Apache-2.0" -> url("http://opensource.org/licenses/Apache-2.0"))
@@ -34,7 +24,7 @@ sparkComponents ++= Seq("mllib-local", "mllib", "sql")
 
 // add any Spark Package dependencies using spDependencies.
 // e.g. spDependencies += "databricks/spark-avro:0.1"
-spDependencies += s"databricks/tensorframes:0.2.9-s_${scalaMajorVersion}"
+spDependencies += s"databricks/tensorframes:0.2.9-s_${scalaMajorVer}"
 
 // These versions are ancient, but they cross-compile around scala 2.10 and 2.11.
 // Update them when dropping support for scala 2.10
diff --git a/linter.sh b/linter.sh
new file mode 100755
index 00000000..1e51a7c6
--- /dev/null
+++ b/linter.sh
@@ -0,0 +1,14 @@
+#!/bin/bash
+
+_bsd_="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+
+if [[ $# -gt 1 ]]; then
+	target_files=(${@})
+else
+	target_files=($(git diff --name-only upstream/master HEAD))
+fi
+
+echo "${target_files[@]}"
+pushd "${_bsd_}"
+exec prospector --profile ${_bsd_}/prospector.yaml "${target_files[@]}"
+popd
diff --git a/project/GenClasspathPlugin.scala b/project/GenClasspathPlugin.scala
new file mode 100644
index 00000000..4f9ecb3d
--- /dev/null
+++ b/project/GenClasspathPlugin.scala
@@ -0,0 +1,78 @@
+package sbtgenclasspath
+
+import sbt._, Keys._
+import sbtsparkpackage.SparkPackagePlugin.autoImport._
+import libdeps.LibVers._
+
+object GenClasspathPlugin extends sbt.AutoPlugin {
+
+  object autoImport {
+
+    lazy val genClasspath = taskKey[Unit]("Build runnable script with classpath")
+    lazy val extraSparkSubmitModules = settingKey[Seq[ModuleID]]("Additional spark submit jar dependencies")
+
+    lazy val genClasspathSettings: Seq[Def.Setting[_]] = Seq(
+
+      extraSparkSubmitModules := Seq.empty[ModuleID],
+
+      genClasspath := {
+        import java.io.PrintWriter
+
+        val sbtPathRoot = baseDirectory.value / ".sbt.paths"
+        sbtPathRoot.mkdirs()
+
+        def writeClasspath(cpType: String)(R: => String): Unit = {
+          val fout = new PrintWriter((sbtPathRoot / s"SBT_${cpType}_CLASSPATH").toString)
+          println(s"Building ${cpType} classpath for current project")
+          try fout.write(R) finally fout.close()
+        }
+
+        writeClasspath("RUNTIME") {
+          (fullClasspath in Runtime).value.files.map(_.toString).mkString(":")
+        }
+
+        writeClasspath("SPARK_PACKAGE") {
+          import scala.util.matching.Regex
+          val patt = s"(.+?)/(.+?):(.+?)(-s_${scalaMajorVer})?".r
+          val pkgs = (spDependencies.value).map { _ match {
+            case patt(orgName, pkgName, pkgVer, stem, _*) =>
+              if (null != stem) {
+                println(s"org ${orgName}, pkg ${pkgName}, ver ${pkgVer}, ${stem}")
+                s"${pkgName}-${pkgVer}${stem}.jar"
+              } else {
+                println(s"org ${orgName}, pkg ${pkgName}, ver ${pkgVer}")
+                s"${pkgName}-${pkgVer}.jar"
+              }
+          }}.toSet
+
+          // TODO: not knowing the proper way, I just fall back to Regex
+          val extraSpModIds = (extraSparkSubmitModules in Compile).value.flatMap { mod =>
+            //"com.typesafe.scala-logging:scala-logging-api:2.1.2"
+            // scala-logging-api_2.11-2.1.2.jar
+            val patt = s"(.+?):(.+?):(.+?)".r
+            mod.toString match {
+              case patt(orgName, pkgName, pkgVer) =>
+                Seq(s"${pkgName}_${scalaMajorVer}-${pkgVer}.jar", s"${pkgName}-${pkgVer}.jar")
+            }
+          }.toSet
+
+          (fullClasspath in Compile).value.files.filter { cpFile =>
+            val cpName = cpFile.getName
+            println(cpName)
+            (pkgs contains cpName) || (extraSpModIds contains cpName)
+          }.map(_.toString).mkString(":")
+        }
+      }
+    )
+  }
+  import autoImport._
+
+  override def requires = sbt.plugins.JvmPlugin
+
+  // This plugin is automatically enabled for projects which are JvmPlugin.
+  override def trigger = allRequirements
+
+  // a group of settings that are automatically added to projects.
+  override val projectSettings =
+    inConfig(Compile)(genClasspathSettings) ++ inConfig(Test)(genClasspathSettings)
+}
diff --git a/project/LibDeps.scala b/project/LibDeps.scala
new file mode 100644
index 00000000..93b578c3
--- /dev/null
+++ b/project/LibDeps.scala
@@ -0,0 +1,26 @@
+package libdeps
+
+/**
+ ======================================================
+ * Build parameters
+ ======================================================
+ */
+object LibVers {
+
+  lazy val sparkVer = sys.props.getOrElse("spark.version", "2.2.0")
+  lazy val sparkBranch = sparkVer.substring(0, 3)
+  lazy val defaultScalaVer = sparkBranch match {
+    case "2.0" => "2.11.8"
+    case "2.1" => "2.11.8"
+    case "2.2" => "2.11.8"
+    case _ => throw new IllegalArgumentException(s"Unsupported Spark version: $sparkVer.")
+  }
+
+  lazy val scalaVer = sys.props.getOrElse("scala.version", defaultScalaVer)
+  lazy val scalaMajorVer = scalaVer.substring(0, scalaVer.indexOf(".", scalaVer.indexOf(".") + 1))
+
+  lazy val defaultScalaTestVer = scalaVer match {
+    case s if s.startsWith("2.10") => "2.0"
+    case s if s.startsWith("2.11") => "2.2.6" // scalatest_2.11 does not have 2.0 published
+  }
+}
diff --git a/prospector.yaml b/prospector.yaml
new file mode 100644
index 00000000..d8ffa3c7
--- /dev/null
+++ b/prospector.yaml
@@ -0,0 +1,39 @@
+strictness: high
+test-warnings: True
+doc-warnings: false
+
+ignore-paths:
+  - docs
+  - spark-warehouse
+  - cover
+
+max-line-length: 100
+
+pep8:
+  run: true
+  disable: 
+    - N802
+    - N803
+    - N806
+    - E302
+
+pylint:
+  run: true
+  disable:
+    - too-many-instance-attributes
+    - cyclic-import
+    - len-as-condition
+    - invalid-name
+    - no-else-return
+    - no-self-use
+    - import-error
+    - protected-access
+    - reimported
+
+mccabe:
+  disable:
+    - MC0001
+
+pyroma:
+  run: true
+  
\ No newline at end of file

From beb98193f3ede4e5c89abd6af800de200cbde2f0 Mon Sep 17 00:00:00 2001
From: Philip Yang <philip.yang@databricks.com>
Date: Tue, 17 Oct 2017 12:08:41 -0700
Subject: [PATCH 5/5] Update README.md

reflect the changes pertaining to this PR.
---
 README.md | 5 +----
 1 file changed, 1 insertion(+), 4 deletions(-)

diff --git a/README.md b/README.md
index 4f751912..a0e7270c 100644
--- a/README.md
+++ b/README.md
@@ -244,9 +244,6 @@ registerKerasImageUDF("my_keras_inception_udf", InceptionV3(weights="imagenet"),
 ### Estimator
 
 ## Releases:
-* 0.2.0 Feature
-  - TFTransformer
-  - KerasEstimator
-  - TFImage Applications
+* 0.2.x Feature
   - Developer tools
 * 0.1.0 initial release