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@bowni bowni commented Mar 27, 2020

Implements and closes #4:

  • for each epoch, splits the nodes datasets into mini-batches
  • iterates over mini-batches for training individual models and aggregating them

@bowni bowni added the enhancement New feature or request label Mar 27, 2020
@bowni bowni added this to the 0.3 Consolidation milestone Mar 27, 2020
@bowni bowni self-assigned this Mar 27, 2020
@bowni bowni changed the title Iss4 mini batches Implement distributed learning iterations over mini-batches Mar 27, 2020
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@Thomas-Galtier Thomas-Galtier left a comment

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I have not tested the code on my machine yet but it looks like a great work! 👍

I have a remark on a machine learning issue: concerning the early stopping, should we rather yield the model with le lower loss rather than the last one which has an increased loss?

@Thomas-Galtier Thomas-Galtier self-requested a review March 28, 2020 15:01
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bowni commented Mar 30, 2020

I just rebased with master (following recent merge of PR #80) to enable an easier review, test and merge @RomainGoussault.

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Nice work on a complicated and tricky subject Eric !!
Looking forward to test the performance improvement :)

bowni and others added 26 commits April 2, 2020 18:02
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bowni commented Apr 2, 2020

Just rebased with recent merge on master.

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🥇

@RomainGoussault RomainGoussault merged commit 2880cee into master Apr 3, 2020
@RomainGoussault RomainGoussault deleted the iss4-mini-batches branch April 9, 2020 06:39
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Parameterize size of mini-batches

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