From afa0e8584e4e25c6c16358ece17c4cae391f3c8b Mon Sep 17 00:00:00 2001
From: HX Lin <>
Date: Tue, 24 Apr 2018 21:16:07 +0800
Subject: [PATCH] Minor fixes.

---
 docs/prepare-localmachine.md | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/docs/prepare-localmachine.md b/docs/prepare-localmachine.md
index 1f40ca6..d29343b 100644
--- a/docs/prepare-localmachine.md
+++ b/docs/prepare-localmachine.md
@@ -485,10 +485,9 @@ This will inevitably result in that models produced by one framework cannot be r
 Model file conversion is a feasible trial towards resolving this challenge.
 In the above subsections, we introduce several model converters: coremltools, onnxmltools, winmltools and tf2onnx, as well as their installation method.
 
-For Windows users, we recommend that you use the [one-click installer](https://github.com/Microsoft/samples-for-ai/#using-a-one-click-installer-to-setup-deep-learning-frameworks)
-) to setup these converters.
-If you wish to install them by yourself, please run the following command in a terminal:
+For Windows users, we recommend that you use the [one-click installer](https://github.com/Microsoft/samples-for-ai/#using-a-one-click-installer-to-setup-deep-learning-frameworks) to setup these converters.
+If you wish to install them by yourself, first go to the third-party web site to install unofficial [XGBoost](https://www.lfd.uci.edu/~gohlke/pythonlibs/#xgboost) and [LIBSVM](https://www.lfd.uci.edu/~gohlke/pythonlibs/#libsvm) 64-bit Windows packages,
+and then run the following command in a terminal:
 ```bash
 pip3 install tensorflow==1.5.0 scikit-learn onnx "git+https://github.com/apple/coremltools@v0.8" onnxmltools winmltools "git+https://github.com/onnx/tensorflow-onnx.git@r0.1"
 ```
-Then, please go to the third-party web site to install unofficial [XGBoost](https://www.lfd.uci.edu/~gohlke/pythonlibs/#xgboost) and [LIBSVM](https://www.lfd.uci.edu/~gohlke/pythonlibs/#libsvm) 64-bit Windows packages.