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I have read all README.md files,and all papers.But i can not find any instructions or tutorials to build an easy application(even i know for some general steps:Questions analysis,Answer Producers,..).…
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domain_adaptation.py is not existing , and all the adaptation code does not work, could u please release it?
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given 2 tasks, map posteriors to each other via LDDMM.
(@jdey4 this is different from what you've been working on, though related)
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What can i do to make the model adapt to a more broad domain, like instead of faces, whole bodies in different poses ? Is this even possible without big changes in the model itself ?
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Can this method be used for unsupervised domain adaptation?
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We use ENmlp, OFmlp and ftmlp as before.
Create new files:
1. simulations.py
2. pretraining.py
3. evalmlpDA.py
Pretraining will be called from evalmlpDA.py with pretraining settings.
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The econml.metalearners.DomainAdaptationLearner does not have a `score` attribute. Is there a way to score it similar to CausalforestDML and DRL?
est.score()
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Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell
University of California, Berkeley, Stanford University, Boston University
https://arxiv.org/abs/1702.05464
# 概要
分類モデルを転移学習して用いる際のバイアス…
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Hi @antoinedemathelin ,
Thanks for the wonderful tool to experiment different methods.
In my use case, I have multiple source domains (with labelled examples) and multiple target domains (unlabelled…