Commit eb39749f authored by Yan Ni's avatar Yan Ni Committed by QuanluZhang
Browse files

update README with latest version number (#1913)

parent e88383ad
...@@ -25,7 +25,7 @@ The tool manages automated machine learning (AutoML) experiments, **dispatches a ...@@ -25,7 +25,7 @@ The tool manages automated machine learning (AutoML) experiments, **dispatches a
* Researchers and data scientists who want to easily **implement and experiement new AutoML algorithms**, may it be: hyperparameter tuning algorithm, neural architect search algorithm or model compression algorithm. * Researchers and data scientists who want to easily **implement and experiement 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**. * ML Platform owners who want to **support AutoML in their platform**.
### **NNI v1.2 has been released! &nbsp;<a href="#nni-released-reminder"><img width="48" src="docs/img/release_icon.png"></a>** ### **NNI v1.3 has been released! &nbsp;<a href="#nni-released-reminder"><img width="48" src="docs/img/release_icon.png"></a>**
## **NNI capabilities in a glance** ## **NNI capabilities in a glance**
NNI provides CommandLine Tool as well as an user friendly WebUI to manage training experiements. With the extensible API, you can customize your own AutoML algorithms and training services. To make it easy for new users, NNI also provides a set of build-in stat-of-the-art AutoML algorithms and out of box support for popular training platforms. NNI provides CommandLine Tool as well as an user friendly WebUI to manage training experiements. With the extensible API, you can customize your own AutoML algorithms and training services. To make it easy for new users, NNI also provides a set of build-in stat-of-the-art AutoML algorithms and out of box support for popular training platforms.
...@@ -229,7 +229,7 @@ Linux and MacOS ...@@ -229,7 +229,7 @@ Linux and MacOS
* Run the following commands in an environment that has `python >= 3.5`, `git` and `wget`. * Run the following commands in an environment that has `python >= 3.5`, `git` and `wget`.
```bash ```bash
git clone -b v1.2 https://github.com/Microsoft/nni.git git clone -b v1.3 https://github.com/Microsoft/nni.git
cd nni cd nni
source install.sh source install.sh
``` ```
...@@ -239,7 +239,7 @@ Windows ...@@ -239,7 +239,7 @@ Windows
* Run the following commands in an environment that has `python >=3.5`, `git` and `PowerShell` * Run the following commands in an environment that has `python >=3.5`, `git` and `PowerShell`
```bash ```bash
git clone -b v1.2 https://github.com/Microsoft/nni.git git clone -b v1.3 https://github.com/Microsoft/nni.git
cd nni cd nni
powershell -ExecutionPolicy Bypass -file install.ps1 powershell -ExecutionPolicy Bypass -file install.ps1
``` ```
...@@ -255,7 +255,7 @@ The following example is an experiment built on TensorFlow. Make sure you have * ...@@ -255,7 +255,7 @@ The following example is an experiment built on TensorFlow. Make sure you have *
* Download the examples via clone the source code. * Download the examples via clone the source code.
```bash ```bash
git clone -b v1.2 https://github.com/Microsoft/nni.git git clone -b v1.3 https://github.com/Microsoft/nni.git
``` ```
Linux and MacOS Linux and MacOS
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...@@ -22,13 +22,13 @@ from recommonmark.transform import AutoStructify ...@@ -22,13 +22,13 @@ from recommonmark.transform import AutoStructify
# -- Project information --------------------------------------------------- # -- Project information ---------------------------------------------------
project = 'Neural Network Intelligence' project = 'Neural Network Intelligence'
copyright = '2019, Microsoft' copyright = '2020, Microsoft'
author = 'Microsoft' author = 'Microsoft'
# The short X.Y version # The short X.Y version
version = '' version = ''
# The full version, including alpha/beta/rc tags # The full version, including alpha/beta/rc tags
release = 'v1.2' release = 'v1.3'
# -- General configuration --------------------------------------------------- # -- General configuration ---------------------------------------------------
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