Add release note and update version numbers for v1.5

README.md

@@ -25,7 +25,7 @@ The tool manages automated machine learning (AutoML) experiments, **dispatches a
 * Researchers and data scientists who want to easily **implement and experiment new AutoML algorithms**, may it be: hyperparameter tuning algorithm, neural architect search algorithm or model compression algorithm.
 * ML Platform owners who want to **support AutoML in their platform**.
 
-### **NNI v1.4 has been released! &nbsp;<a href="#nni-released-reminder"><img width="48" src="docs/img/release_icon.png"></a>**
+### **NNI v1.5 has been released! &nbsp;<a href="#nni-released-reminder"><img width="48" src="docs/img/release_icon.png"></a>**
 
 ## **NNI capabilities in a glance**
 
@@ -236,7 +236,7 @@ The following example is built on TensorFlow 1.x. Make sure **TensorFlow 1.x is
 * Download the examples via clone the source code.
 
   ```bash
-  git clone -b v1.4 https://github.com/Microsoft/nni.git
+  git clone -b v1.5 https://github.com/Microsoft/nni.git
   ```
 
 * Run the MNIST example.

docs/en_US/Release.md

@@ -1,5 +1,47 @@
 # ChangeLog
 
+## Release 1.5 - 4/13/2020
+
+### New Features and Documentation
+
+#### Hyper-Parameter Optimizing
+
+* New tuner: [Population Based Training (PBT)](https://github.com/microsoft/nni/blob/master/docs/en_US/Tuner/PBTTuner.md)
+* Trials can now report infinity and NaN as result
+
+#### Neural Architecture Search
+
+* New NAS algorithm: [TextNAS](https://github.com/microsoft/nni/blob/master/docs/en_US/NAS/TextNAS.md)
+* ENAS and DARTS now support [visualization](https://github.com/microsoft/nni/blob/master/docs/en_US/NAS/Visualization.md) through web UI.
+
+#### Model Compression
+
+* New Pruner: [GradientRankFilterPruner](https://github.com/microsoft/nni/blob/master/docs/en_US/Compressor/Pruner.md#gradientrankfilterpruner)
+* Compressors will validate configuration by default
+* Refactor: Adding optimizer as an input argument of pruner, for easy support of DataParallel and more efficient iterative pruning. This is a broken change for the usage of iterative pruning algorithms.
+* Model compression examples are refactored and improved
+* Added documentation for [implementing compressing algorithm](https://github.com/microsoft/nni/blob/master/docs/en_US/Compressor/Framework.md)
+
+#### Training Service
+
+* Kubeflow now supports pytorchjob crd v1 (thanks external contributor @jiapinai)
+* Experimental [DLTS](https://github.com/microsoft/nni/blob/master/docs/en_US/TrainingService/DLTSMode.md) support
+
+#### Overall Documentation Improvement
+
+* Documentation is significantly improved on grammar, spelling, and wording (thanks external contributor @AHartNtkn)
+
+### Fixed Bugs
+
+* ENAS cannot have more than one LSTM layers (thanks external contributor @marsggbo)
+* NNI manager's timers will never unsubscribe (thanks external contributor @guilhermehn)
+* NNI manager may exhaust head memory (thanks external contributor @Sundrops)
+* Batch tuner does not support customized trials (#2075)
+* Experiment cannot be killed if it failed on start (#2080)
+* Non-number type metrics break web UI (#2278)
+* A bug in lottery ticket pruner
+* Other minor glitches
+
 ## Release 1.4 - 2/19/2020
 
 ### Major Features

docs/en_US/Tutorial/InstallationLinux.md

@@ -19,7 +19,7 @@ Installation on Linux and macOS follow the same instructions, given below.
   Prerequisites: `python 64-bit >=3.5`, `git`, `wget`
 
   ```bash
-  git clone -b v1.4 https://github.com/Microsoft/nni.git
+  git clone -b v1.5 https://github.com/Microsoft/nni.git
   cd nni
   ./install.sh
   ```
@@ -35,7 +35,7 @@ The following example is built on TensorFlow 1.x. Make sure **TensorFlow 1.x is
 * Download the examples via cloning the source code.
 
   ```bash
-  git clone -b v1.4 https://github.com/Microsoft/nni.git
+  git clone -b v1.5 https://github.com/Microsoft/nni.git
   ```
 
 * Run the MNIST example.

docs/en_US/Tutorial/InstallationWin.md

@@ -19,7 +19,7 @@ Anaconda or Miniconda is highly recommended to manage multiple Python environmen
   Prerequisites: `python 64-bit >=3.5`, `git`, `PowerShell`.
 
   ```bash
-  git clone -b v1.4 https://github.com/Microsoft/nni.git
+  git clone -b v1.5 https://github.com/Microsoft/nni.git
   cd nni
   powershell -ExecutionPolicy Bypass -file install.ps1
   ```
@@ -31,7 +31,7 @@ The following example is built on TensorFlow 1.x. Make sure **TensorFlow 1.x is
 * Download the examples via clone the source code.
 
   ```bash
-  git clone -b v1.4 https://github.com/Microsoft/nni.git
+  git clone -b v1.5 https://github.com/Microsoft/nni.git
   ```
 
 * Run the MNIST example.
@@ -136,4 +136,4 @@ Note:
 * [How to run an experiment on multiple machines?](../TrainingService/RemoteMachineMode.md)
 * [How to run an experiment on OpenPAI?](../TrainingService/PaiMode.md)
 * [How to run an experiment on Kubernetes through Kubeflow?](../TrainingService/KubeflowMode.md)
-* [How to run an experiment on Kubernetes through FrameworkController?](../TrainingService/FrameworkControllerMode.md)
+* [How to run an experiment on Kubernetes through FrameworkController?](../TrainingService/FrameworkControllerMode.md)

docs/en_US/conf.py

@@ -28,7 +28,7 @@
 # The short X.Y version
 version = ''
 # The full version, including alpha/beta/rc tags
-release = 'v1.4'
+release = 'v1.5'
 
 # -- General configuration ---------------------------------------------------