Comments (4)
Thanks for the request. We're pretty stretched at the moment so we're unlikely to be able to get round to this soon. If you're willing/able, feel free to do a PR, which would be gratefully accepted!
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Hi @RobinL, here is a PR for the changes needed to build the splink_scalaudfs for Scala 2.13. As I am new to Scala, I would be happy to have it reviewed so I can adjust it as needed.
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@kg005 Thank very much. Just to say we're taking a look at this. I'm also not a scala person myself, but the code looks ok to me at least.
One thing we need to be careful with is accepting an external PR that includes the jar, since we have no easy way of knowing whether it contains malicious code. (The diff looks ok, and the code you're wrote looks fine btw, so this is no reflection on you, just security policy!)
I'm going to try and get a colleague to build it on their machine. But if you happen to work for somewhere 'trusted' (e.g. uk gov, let me know and it'll make it a little easier - [email protected]!)
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Thanks for the heads up @RobinL. I understand the policies. Feel free to override the jar with a new version that you manage to build using your infrastructure.
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Related Issues (20)
- [Splink4] Use fresh SQLPipeline for all linker methods HOT 4
- Bug in save model to JSON
- [FEAT] Internally estimate probabilities for blocking-rule-related comparisons to improve EM
- [FEAT] Allow exact or Bayesian pre-specification of m-probabilities for selected comparisons HOT 3
- [MAINT] Add a default value to the `threshold_selection_tool` chart
- Sqlglot 23.0.0 breaks EM Training HOT 2
- ERROR - IndexError: list index out of range HOT 1
- IndexError: List index out of range when calling linker.estimate_parameters_using_expectation_maximisation(training_blocking_rule) HOT 2
- Unable to retrieve m and u Estimates from the Saved Model
- [Splink 4] Find new matches can be simplified by creating a new linker
- [FEAT] Add GitHub action to sort/update custom dictionary HOT 3
- [FEAT] Split out system installs from spellchecker bash script HOT 2
- [MAINT] Ensure consistent capitalisation when referencing functions named after people
- Can't train for M values on Databricks HOT 4
- [FEAT] Rename cols in graph metric tables
- [FEAT] Add cluster metrics to cluster studio
- Allow `__splink__df_concat` to be computed without `linker` HOT 1
- M values aren't trained for a column HOT 3
- `linker.estimate_u_using_random_sampling` fails with default arguments, with no clear indication why HOT 3
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