question-mark
Stuck on an issue?

Lightrun Answers was designed to reduce the constant googling that comes with debugging 3rd party libraries. It collects links to all the places you might be looking at while hunting down a tough bug.

And, if you’re still stuck at the end, we’re happy to hop on a call to see how we can help out.

Some tests (eight) fail in Microsoft.ML.Predictor.Tests

See original GitHub issue

System information

.NET Command Line Tools (2.1.200)

Product Information: Version: 2.1.200 Commit SHA-1 hash: 2edba8d7f1

Runtime Environment: OS Name: Windows OS Version: 10.0.17134 OS Platform: Windows RID: win10-x64 Base Path: C:\Program Files\dotnet\sdk\2.1.200\

Microsoft .NET Core Shared Framework Host

Version : 2.0.7 Build : 2d61d0b043915bc948ebf98836fefe9ba942be11

Issue

  1. I checkout the project,
  2. Ran .\build.cmd on PowerShell prompt
  3. Opened the project in VS 2017 15.7
  4. Ran all tests, some of which failed (see attached image).

I did expect all tests to pass.

fail line The assert here fails. I didn’t go further to check if the cause is a programming error or something else as this was more of curiosity, but noted here. 😃

These are all of the eight tests that fail due to the assert in the previous image: failed tests

Issue Analytics

  • State:closed
  • Created 5 years ago
  • Comments:11 (11 by maintainers)

github_iconTop GitHub Comments

1reaction
veikkoeevacommented, May 30, 2018

@Anipik Ah, sorry, I got delayed. I’m currently in www.arctic15.com and rather tied. See the linked PR for further discussion and the last comment. I should be able to get onto it the next weekend, knock on the tree. Naturally if you need to do something in the meantime, feel free to do so. 😃

0reactions
Anipikcommented, May 29, 2018

@veikkoeeva is this issue resolved ?

Read more comments on GitHub >

github_iconTop Results From Across the Web

Failure Modes in Machine Learning - Security documentation
In the last two years, more than 200 papers have been written on how Machine Learning (ML) can fail because of adversarial attacks...
Read more >
Predicting Failing Tests with Machine Learning
Machine learning can be used to predict how tests behave on changes in the code. These predictions reduce the feedback time to developers...
Read more >
Using Machine Learning to Make Test Executions More ...
Test data analysis like Predictive Test Selection reveals another challenge – flaky tests. Flaky tests are randomly failing tests. When you ...
Read more >
8 Ways to Improve Accuracy of Machine Learning Models ...
This article covers 8 proven ways to re-structure your model approach to improve its accuracy. A predictive model can be built in many...
Read more >
Comparing different supervised machine learning algorithms ...
Our research focuses on the disease risk prediction models involving machine learning algorithms (e.g., support vector machine, logistic ...
Read more >

github_iconTop Related Medium Post

No results found

github_iconTop Related StackOverflow Question

No results found

github_iconTroubleshoot Live Code

Lightrun enables developers to add logs, metrics and snapshots to live code - no restarts or redeploys required.
Start Free

github_iconTop Related Reddit Thread

No results found

github_iconTop Related Hackernoon Post

No results found

github_iconTop Related Tweet

No results found

github_iconTop Related Dev.to Post

No results found

github_iconTop Related Hashnode Post

No results found