update_model_with_feedback
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
update_model_with_feedback is Function to update the model with new feedback.
Mostly:has parameter(2), rdf:type(1), description(1)
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feedsIntoFeeds Into(1)
- Collect New Feedback Function
ex:collect-new-feedback-function
hasComponentHas Component(1)
- Feedback Loop
ex:feedback-loop
hasPartHas Part(1)
- Source Document
ex:source-document
hasStepHas Step(1)
- Code Workflow
ex:code-workflow
usedByUsed by(1)
- Trained Model
ex:trained-model
Other facts (5)
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References (1)
ctx:claims/beam/ca82f6df-035e-4bb4-92d9-e1c0a1e83da2- full textbeam-chunktext/plain1 KB
doc:beam/ca82f6df-035e-4bb4-92d9-e1c0a1e83da2Show excerpt
Here's an example implementation that demonstrates how to incorporate user feedback to refine the SVD model: ```python import pandas as pd from surprise import Dataset, Reader, SVD from surprise.model_selection import train_test_split # L…
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