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Commits on May 17, 2017

• Update comment on how to create embeddings.pickle

  entron

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Commits on Mar 15, 2017

• Small fix

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• Make sure users use keras 1.x API

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Commits on Apr 26, 2016

• Adopt keras 1.0 API

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Commits on Apr 25, 2016

• add link to arXiv paper

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Commits on Apr 22, 2016

• update readme

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• Save embeddings in train_test_model.py

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• Output number of training samples

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Commits on Apr 21, 2016

• removed unused

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• A bigger train size to learn the EE well

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• Revert to fd890f1122bd446112c437e37ff3f9ca711109ba

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Commits on Apr 18, 2016

• took advantage of the numpy seed

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• bugfixes and code factorization

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• Merge remote-tracking branch 'origin/paper' into paper

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• adjusted dimensionality and train ratio

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Commits on Apr 15, 2016

• better way to sparsify training data

  entron

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• tune embedding size

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• set random seed

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• keep small portion of all data to simulate sparsity

  entron

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• Merge branch 'paper' of https://github.com/entron/entity-embedding-rossmann into paper

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• do not save by default

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• deleted typo

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• deleted old normalize data call in RF

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• deleted old call to normalize data in xgboost

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• temp commit

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• Added README etc.

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• import version used for paper

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Commits on Feb 4, 2016

• use markdown for the plotly plots

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Commits on Feb 3, 2016

• try use html for showing plotly in readme.md

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• added the plots with plotly

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Commits on Jan 22, 2016

• changed readme

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Commits on Jan 13, 2016

• rename

  

  Cheng Guo

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  af1a761

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• update to the newest sklearn (0.17)

  

  Cheng Guo

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• added embedding visualization

  

  Cheng Guo

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• save models

  

  Cheng Guo

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