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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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PhilipMay
PhilipMay commented Jun 12, 2020

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
mmlspark
ttpro1995
ttpro1995 commented Nov 13, 2019

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
BentoML
gregd33
gregd33 commented Aug 27, 2020

Describe the bug

I believe this is a bug, but I might just be missing how to properly use the containerize functionality.

The Dockerfile generated by https://github.com/bentoml/BentoML/blob/master/bentoml/clipper/__init__.py#L97 includes two args for PIP repos. However, the containerize functionality doesn't seem to expose these arguments. The problem is that this will override other p

joelberkeley-pio
joelberkeley-pio commented Jun 25, 2020

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.

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