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.
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Bug Report
Is the issue related to model conversion?
If the ONNX checker reports issues with this model then this is most probably related to the converter used to convert the original framework model to ONNX. Please create this bug in the appropriate converter's GitHub repo (pytorch, tensorflow-onnx, sklearn-onnx, keras-onnx, onnxmltools) to get the best help.
Describe the bug
T
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.
MLflow Roadmap Item
This is an MLflow Roadmap item that has been prioritized by the MLflow maintainers. We're seeking help with the implementation of roadmap items tagged with the help wanted label.
For requirements clarifications and implementation questions, or to request a PR review, please tag @BenWilson2 in your communications related to this issue.
Proposal Summary
Includ
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Nov 21, 2018 - Shell
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Remove logging line, or modify from ch.Info to ch.Trace:
https://github.com/dotnet/machinelearning/blob/5dbfd8acac0bf798957eea122f1413209cdf07dc/src/Microsoft.ML.Mkl.Components/SymSgdClassificationTrainer.cs#L813
For my text dataset, this logging line dumps ~100 pages of floats to my console. That level of verbosity is unneeded at the Info level.
I'd recommend just removing the loggin
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Sep 30, 2021 - C++
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With a config like this
{
"METAFLOW_DATASTORE_SYSROOT_S3": "s3://mf-test/metaflow/",
}
(note a slash after METAFLOW_DATASTORE_SYSROOT_S3)
metaflow.S3(run=self).put* produces double-slashes like here:
s3://mf-test/metaflow//data/DataLoader/1630978962283843/month=01/data.parquet
The trailing slash in the config shouldn't make a difference
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Currently, we don't need a different hostname to access MySQL API on cloud.mindsdb.com, so the mysql -h command should point just to cloud.mindsdb.com
https://github.com/mindsdb/mindsdb/blob/b09ac13588957e6b4c3718f261da676bc5657b3a/docs/mindsdb-docs/docs/sql/connect/cloud.md#mysql-client
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🚨 🚨 Feature Request
- Related to an existing Issue
- A new implementation (Improvement, Extension)
If your feature will improve HUB
Need a way to check if a dataset already exists.
hub.empty throws an error if a dataset exists and hub.load throws an error if the dataset does not exist.
Need a way to check if a dataset already exists without throwing a
In Ue format string it represent float with comma separator, it crash css style
To fix it you can Round/replace/incluse culture info
samples/csharp/end-to-end-apps/ScalableSentimentAnalysisBlazorWebApp/BlazorSentiment.Client/Shared/HappinessScale.razor
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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?
Expected Behavior
Currently Feast is assuming the location of my datasets is always in US as this is the current default location for the BQ Client.
It would be good to have the possibility to specify the location somewhere
Current Behavior
File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/feast/infra/offline_stores/bigquery.py", line 239,
- Wikipedia
- Wikipedia

Current implementation of Go binding can not specify options.
GPUOptions struct is in internal package. And
go generatedoesn't work for protobuf directory. So we can't specify GPUOptions forNewSession.