Examples: query, "exact match", wildcard*, wild?ard, wild*rd
Fuzzy search: cake~ (finds cakes, bake)
Term boost: "red velvet"^4, chocolate^2
Field grouping: tags:(+work -"fun-stuff")
Escaping: Escape characters +-&|!(){}[]^"~*?:\ with \, e.g. \+
Range search: properties.timestamp:[1587729413488 TO *] (inclusive), properties.title:{A TO Z}(excluding A and Z)
Combinations: chocolate AND vanilla, chocolate OR vanilla, (chocolate OR vanilla) NOT "vanilla pudding"
Field search: properties.title:"The Title" AND text
Answered
Hi All, We’Re Interested In Using Trains For A New Ml Project. This Project Is An Early Proof Of Concept So We’D Like To Start With The Open Source Version. One Question We’Re Finding Difficult To Answer Is: What Tools Do People Successfully Combine With

Hi all,
We’re interested in using trains for a new ML project. This project is an early proof of concept so we’d like to start with the open source version.
One question we’re finding difficult to answer is: what tools do people successfully combine with the open source edition of trains to make a full end to end mlops stack?
As I understand it the open source version doesn’t include data versioning or deployment.
So we are considering https://terminusdb.com/ or https://www.pachyderm.com/ for data versioning.
And perhaps https://www.cortex.dev/ or https://www.bentoml.org/ or pachderm again for the model serving/deployment.
We’re currently still exploring so are open to other tooling, but what we particularly don’t know is how well these (or other options) play alongside trains.
If anyone is willing to share some experiences it’d be much appreciated!

  
  
Posted 3 years ago
pic
More
EnchantingBlackbird39
0 × 1
Report
Votes Newest

Answers 6

releasing today 🙂

  
  
Posted 3 years ago
pic
More
AgitatedDove14
0 × 1
Report

Ha! Perfect!
I look forward to having a look.
Thanks AgitatedDove14 !

  
  
Posted 3 years ago
pic
More
EnchantingBlackbird39
0 × 1
Report

Thanks AgitatedDove14 !
That’s really helpful, and the support for structured data sounds like it’d be great for us.
Seldon looks really good, but is too pricy at the moment for this project, so I think we probably need to setup a server and have a play around at integrating some of the open source model serving options and see how they work in practice.
But it would still be really useful to hear what has worked for anyone else in a similar situation?

  
  
Posted 3 years ago
pic
More
EnchantingBlackbird39
0 × 1
Report

EnchantingWorm39 you have great timing ;)

  
  
Posted 3 years ago
pic
More
AgitatedDove14
0 × 1
Report

Hi EnchantingWorm39
Great question!
Regrading the data management, I know the enterprise edition has full support for unstructured data, and we plan to soon have a solution for structured data as part of the open source (soon= hopefully in a month time)
Regrading model serving, I know you can integrate with TFServing or seldon with very little effort (usually the challenge is creating triggers etc, but but in most cases this is custom code anyhow 🙂 )
I do not have experience with Cortex/BentoML, but from the documentation it seems it will be super easy to integrate with Trains.
I hope it helps 🙂

  
  
Posted 3 years ago
pic
More
AgitatedDove14
0 × 1
Report

Hi AgitatedDove14 ,
Do you have any updates on
We plan to soon have a solution for structured data as part of the open sourcewhich you mentioned above?

  
  
Posted 3 years ago
pic
More
EnchantingBlackbird39
0 × 1
Report
Write your answer
470 Views
6 Answers
3 years ago
one year ago
Tags
clearml