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https://issues.apache.org/jira/browse/NLPCRAFT-67?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17130657#comment-17130657
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Sergey Kamov edited comment on NLPCRAFT-67 at 6/11/20, 4:41 PM:
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Thank you.
I have tried to use it for static suggestions generation. It works fine (branch
41)
Some questions:
1. you wrote that you did 3) - but I can't find `score` parameter in your API
description (`limit` parameter exists, but not `score`)
2. the response contains 4 fields, one is string field (position 2) - it is
suggested word, but can you describe remained 3 double values (field 0, 1, 3)
BTW: maybe better shift response fields? for example [string, double1,
double2, double3] instead of [double1, double2, string, double3] ?
3. Could you extend API to support multiple indexes for one sentence?
For example
- now I should ask [['X Y Z', 0], ['X Y Z', 1], ['X Y Z', 2]] if I want to ask
suggestions for each 3 sentence words
- can we support format ['X Y Z', 0, 1, 2] too?
was (Author: sergeykamov):
Thank you.
I have tried to use it for static suggestions generation. It works fine (branch
41)
Some questions:
- you wrote that you did 3) - but I can't find `score` parameter in your API
description (`limit` parameter exists, but not `score`)
- the response contains 4 fields, one is string field (position 2) - it is
suggested word, but can you describe remained 3 double values (field 0, 1, 3)
BTW: maybe better shift response fields? for example [string, double1,
double2, double3] instead of [double1, double2, string, double3] ?
> Python machine learning module
> -------------------------------
>
> Key: NLPCRAFT-67
> URL: https://issues.apache.org/jira/browse/NLPCRAFT-67
> Project: NLPCraft
> Issue Type: New Feature
> Reporter: Gleb
> Assignee: Gleb
> Priority: Major
> Fix For: 0.7.0
>
>
> Python part which consists of Bert masked word prediction and FastText
> synonyms filter
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