ml
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Here are 2,842 public repositories matching this topic...
-
Updated
Nov 29, 2020 - Jupyter Notebook
-
Updated
Dec 8, 2020 - JavaScript
Every kubeflow image should be scanned for security vulnerabilities.
It would be great to have a periodic security report.
Each of these images with vulnerability should be patched and updated.
Bug Report
These tests were run on s390x. s390x is big-endian architecture.
Failure log for helper_test.py
________________________________________________ TestHelperTensorFunctions.test_make_tensor ________________________________________________
self = <helper_test.TestHelperTensorFunctions testMethod=test_make_tensor>
def test_make_tensor(self): # type: () -> None
-
Updated
Nov 24, 2020 - Jupyter Notebook
-
Updated
Nov 21, 2018 - Shell
Willingness to contribute
The MLflow Community encourages bug fix contributions. Would you or another member of your organization be willing to contribute a fix for this bug to the MLflow code base?
- Yes. I can contribute a fix for this bug independently.
- Yes. I would be willing to contribute a fix for this bug with guidance from the MLflow community. -> I can give a try to fix
Internal user reported a stall during the .Fit() of the word embedding transform.
On first use of the word embedding transform, it downloads the word embedding model from the CDN.
To test:
- Clear any copies of the fastText300D word embedding file from local machine
Check local folder, and ~/.local/share/mlnet-resources/WordVectors/ for a file namedwiki.en.vec - Create example c
-
Updated
Dec 3, 2020 - C++
-
Updated
Oct 22, 2020 - Python
-
Updated
Dec 8, 2020 - C++
-
Updated
Dec 2, 2020 - Python
-
Updated
Feb 8, 2020 - Python
-
Updated
Nov 22, 2020
All available samples code target .Net Core, Do we have samples for .Net Framework ?
-
Updated
Dec 7, 2020 - Python
-
Updated
Dec 6, 2020 - Jupyter Notebook
I have a simple regression task (using a LightGBMRegressor) where I want to penalize negative predictions more than positive ones. Is there a way to achieve this with the default regression LightGBM objectives (see https://lightgbm.readthedocs.io/en/latest/Parameters.html)? If not, is it somehow possible to define (many example for default LightGBM model) and pass a custom regression objective?
-
Updated
Dec 8, 2020 - C++
With the addition of avro read/write support in Bigquery there's no need to have these extra conversions and extension methods laying around as they might add confusion to the user.
Is your feature request related to a problem? Please describe.
Describe the solution you'd like
# remove all local saved bundle
bentoml prune --local
# remove in remote yatai service
bentoml prune --yata
Problem
Since Java 8 was introduced there is no need to use Joda as it has been replaced the native Date-Time API.
Solution
Ideally greping and replacing the text should work (mostly)
Additional context
Need to check if de/serializing will still work.
-
Updated
Nov 16, 2020 - Ruby
Yolo Model
Description
Implement a YOLO model and add it to the DJL model zoo
References
-
Updated
Dec 8, 2020 - Jupyter Notebook
I'm trying to have a multi-dimensional lengthscale for my kernel, and cannot find in the documentation how to do this. The closest I've come is specifying input_dim, as described here, but in version 2.0.5 I get an error that input_dim is an unknown keyword argument. How would I get these multidimensional lengthscales in gpfl
- Wikipedia
- Wikipedia
Please make sure that this is a documentation issue. As per our GitHub Policy, we only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub. tag:doc_template
System information