Skip to content

Fix link to example file in readme.md #71

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 3 commits into from
May 8, 2018
Merged

Fix link to example file in readme.md #71

Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
5fa1141
Fix link to example file in readme.md
glebuk May 8, 2018
46a3e73
replaced URLs with relative paths.
glebuk May 8, 2018
1af7497
fixed link
glebuk May 8, 2018
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
5 changes: 3 additions & 2 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -16,7 +16,7 @@ Along with these ML capabilities this first release of ML.NET also brings the fi

ML.NET runs on Windows, Linux, and macOS - any platform where 64 bit [.NET Core](https://github.com/dotnet/core) or later is available.

The current release is 0.1. Check out the [release notes](https://github.com/dotnet/machinelearning/blob/master/Documentation/release-notes/0.1/release-0.1.md).
The current release is 0.1. Check out the [release notes](Documentation/release-notes/0.1/release-0.1.md).

First ensure you have installed [.NET Core 2.0](https://www.microsoft.com/net/learn/get-started) or later. ML.NET also works on the .NET Framework. Note that ML.NET currently must run in a 64 bit process.

Expand Down Expand Up @@ -55,7 +55,8 @@ For more information, see the [.NET Foundation Code of Conduct](https://dotnetfo

## Examples

Here's an example of code to train a model to predict sentiment from text samples. (You can see the complete sample [here](https://github.com/dotnet/machinelearning/blob/master/test/Microsoft.ML.Tests/Scenarios/Scenario3_SentimentPrediction.cs)):
Here's an example of code to train a model to predict sentiment from text samples.
(You can see the complete sample [here](test/Microsoft.ML.Tests/Scenarios/SentimentPredictionTests.cs)):

```C#
var pipeline = new LearningPipeline();
Expand Down