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
Describe the bug
An ONNX model with QuantizeLinear (opset 13) passes shape inference when it has no input for zero_point, but fails if the input is the empty string. Trailing optional inputs should be able to be expressed in either way.
onnx version 1.10.1
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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Jun 9, 2021 - Python
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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Oct 22, 2021
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Oct 25, 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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Oct 22, 2021 - Jupyter Notebook
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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
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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
Feature views should have the creation time (i.e., created_timestamp) at the first feast apply
Current Behavior
Features Views do not have creation time at feature view creation
Steps to reproduce
feast init fs
cd fs
feast apply
feast registry-dump
{
"spec": {
"name": "driver_id",
"valueType": "INT64",
"description": "driver - 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.