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System information

• Have I written custom code (as opposed to using a stock
  example script provided in TensorFlow): Yes

/kind feature

Persona: Infrastructure Engineer
Control Plane Walkthrough:

• Install Kubeflow with (istio) KfDefs
• Install Kubeflow with dex - pending
• Configure / Get Istio IngressGateway endpoint
• Create profiles (w/ kubectl) #4725
• Create notebooks from user-namespace (w/ kubectl)
• Login (port-forward) into notebook as user
• Create TFJob (w/ kubec

Spawned off https://github.com/onnx/onnx/pull/2772/files/7ab93cc1b635eada330dae7424d4ff7e8c22c295#r440422245, opening issue to track resolution

MLflow seems to have a length limit of 5000 when setting tags (see below).

[...]
  File "/home/smay/miniconda3/envs/py38/lib/python3.8/site-packages/mlflow/utils/validation.py", line 136, in _validate_length_limit
    raise MlflowException(
mlflow.exceptions.MlflowException: Tag value '[0.8562690322984875, 0.8544098885636596, 0.8544098885636596, 0.8544098885636596, 0.85440988856365

There are 2 places we are using BufferBlock<T> today:

https://github.com/dotnet/machinelearning/blob/b7db4fa475ba4bd52824eb98bbf5f5bf4a0a6f7a/src/Microsoft.ML.Data/Transforms/RowShufflingTransformer.cs#L486-L487

https://github.com/dotnet/machinelearning/blob/b7db4fa475ba4bd52824eb98bbf5f5bf4a0a6f7a/src/Microsoft.ML.Sweeper/AsyncSweeper.cs#L171

We should consider replacing this depende

.NET Core 2.2 reaches end of life December 23. Either upgrade the version to 3.1 LTS, which is what users should be already doing anyway, or target multiple versions of .NET Core so users who are still on 2.x are not broken.

Use case

Polyaxon tracking can be used to automatically log all information generated by Ludwig.

We should probably think about adding support for Polyaxon's tracking module in Ludwig contrib.

Version

com.microsoft.ml.spark:mmlspark_2.11:jar:0.18.1
spark= 2.4.3
scala=2.11.12

data (csv with header) https://gist.github.com/ttpro1995/69051647a256af912803c9a16040f43a

download data and save as csv file, put into folder /data/public/HIGGS/higgs.test.predictioncsv

val data = spark.read.option("header","true").option("inferSchema", "true").csv("/data/public/HIGGS

As of Sparkey 3.1.0 it supports snappy and zstd compressions. We should look into supporting these.

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.

Hi, Tom from Codecov here.

We noticed that you are using Codecov with fairly high frequency, and we’re so excited to see that! However, because you are not using our app, you may have experienced issues with uploading reports or viewing coverage information. This is due to rate-limiting issues from GitHub.

**In order to prevent any future outages, we ask that you move over

There are a number of empty notebooks. Task here is to find them all, and convert each one to its own backlog ticket. Delete those notebooks and remove references to them from other notebooks. You'll also need to check if any of the text surrounding links needs adjusting.