Closed
Bug 1062444
Opened 10 years ago
Closed 10 years ago
generate classifier training data
Categories
(Input Graveyard :: Backend, defect)
Input Graveyard
Backend
Tracking
(Not tracked)
RESOLVED
FIXED
People
(Reporter: willkg, Assigned: willkg)
References
Details
(Whiteboard: u=dev c=spam p=1 s=input.2014q3)
In order to use spicedham to classify incoming feedback, we need to train the classifiers. We want to train it to denote spam/ham as well as abuse/non-abuse. This bug covers: 1. building the training sets in a development environment 2. serializing that training data into Django fixtures 3. checking in those fixtures into the repo 4. adjusting the deployment script to load those fixtures on deploy Note: This is purely for the purposes of integrating the spicedham prototype. We're not trying to design infrastructure that will be used outside of this specific need. After we figure out how things should work, it's expected we'll wipe away all this stuff and "start over".
Assignee | ||
Comment 1•10 years ago
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||
Grabbing this to work on now.
Assignee: nobody → willkg
Status: NEW → ASSIGNED
Assignee | ||
Comment 2•10 years ago
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Most of this except the training data and the deploy script fix in a PR: https://github.com/mozilla/fjord/pull/346 Landed in master: https://github.com/mozilla/fjord/commit/0c4221368e7d0212127d5572783004c982f45b11
Assignee | ||
Comment 3•10 years ago
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Training data and deploy script fix in pr: https://github.com/mozilla/fjord/pull/348 Landed in master: https://github.com/mozilla/fjord/commit/78a2d630f785fc0200218c8d45055742cc936dc1
Assignee | ||
Comment 4•10 years ago
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||
Pushed this to prod last night.
Status: ASSIGNED → RESOLVED
Closed: 10 years ago
Resolution: --- → FIXED
Whiteboard: u=dev c=spam p= s=input.2014q3 → u=dev c=spam p=1 s=input.2014q3
Updated•7 years ago
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Product: Input → Input Graveyard
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Description
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