Comments (6)
Hi @blang, thanks for the notification. In fact, we are working on a new high-changed version, which is expected to be ready in few days.
I guess the commit f81cfb4 from my fork (branch pp_filter) is free of bugs. It might be useful for you now.
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Hi @julsal, thanks for the quick response. I'll have a look at the commit you mentioned.
It's pretty late in my project so i just need a stable pair relatedness.
I managed to get the request working by crafting the request by myself which was the quickest option for now.
The only question remains if the backend (lambdacube/indra:2.0.2) is stable in this situation (only pair requests)
Any experience with this version?
To use your commit f81cfb4, is a backend (docker) update necessary or does it work with lambdacube/indra:2.0.2?
Thanks,
Best,
Ben
from indra.
Hi @blang, yes it is a large backend update. In the case that you managed to work with the current version, I don't recommend updating now. I hope up to the next week we have a new well-tested version.
Best,
from indra.
@julsal Ok thank you, i will stay with the current version. I was using a much older version of indra for development and was forced to update since the w2v-wiki2014
dataset for the old mongo version was no longer available on the dataset server.
If the current version does not work properly, i will have to downgrade again.
Are the old python updater based datasets for the old mongo version still available online?
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@blang For sure it is available in the one of the versions of https://github.com/Lambda-3/IndraComposed, but unfortunately I can't precise the version.
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The new version solves this problem.
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Related Issues (20)
- Jersey Error on initialization HOT 1
- RelatednessClient being initialized multiple times
- Request method with a term agains a list of terms
- Add function to get the top neighbors of a term HOT 3
- add a Lucene-based vector space model
- add a Lucene-based translator data store
- Review attributes in ModelMetadata
- Write tests for Annoy-based vector spaces
- Bug in the MAX_DIMENSIONS for sparse models
- can't get dep word vectors HOT 1
- Empty documentation page HOT 1
- add support to fastText
- Export word embeddings
- 400 Client Error: Bad Request for url HOT 2
- How to use own model?
- Unable to download models HOT 1
- IndraComposed connection refused while downloading Model HOT 4
- Cannot build on Java 11 - missing javax.xml.bind.*
- Running Indra on java 11
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