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Commits on Apr 6, 2018

• added support for multiple times to disruption ROC evaluation for shallow models

  

  Julian Kates-Harbeck

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Commits on Nov 21, 2017

• add option to predict from custom path for shallow and deep models

  

  Julian Kates-Harbeck

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Commits on Nov 10, 2017

• changed handling of shot cutting. Shots are only cut during training but not during inference.

  

  Julian Kates-Harbeck

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Commits on Oct 25, 2017

• Merge branch 'master' of https://github.com/PPPLDeepLearning/plasma-python

  

  Julian Kates-Harbeck

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• print message

  

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Commits on Aug 15, 2017

• Fixes

  ASvyatkovskiy

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• Add TFOptimizer wrapper options

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• Compile model in mpi_runner/runner, only define NN architecture in builder

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Commits on Aug 10, 2017

• Fix import error for Python3

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Commits on Jul 3, 2017

• only saving checkpoint if monitored quality improves in runner.py

  

  Julian Kates-Harbeck

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Commits on Jun 6, 2017

• added optional warmup phase for batch generator. Added option to up-weight more 'difficult shots', as defined by their minimum/maximum threshold.

  

  Julian Kates-Harbeck

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Commits on May 29, 2017

• merged

  

  Julian Kates-Harbeck

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Commits on May 28, 2017

• fixed validation set consistency with mpi runner

  

  Julian Kates-Harbeck

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Commits on May 26, 2017

• Python3 compatibility: tab-space consistency, exception as e, printing, multiprocessing Queue

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Commits on May 25, 2017

• Put back hyperopt import. Cleanup

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Commits on May 23, 2017

• fixed nasty bug related to copy by view vs. copy by value of numpy arrays in the buffer based prefetching. Needed to copy the array, because the view was being changed behind the scenes.

  

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• fixed tensorflow re-import issue

  

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Commits on May 22, 2017

• added data pre-fetching generator with separate process for prefetching. Also cleanup for this new process. This works in conjuction with buffer based data loading

  

  Julian Kates-Harbeck

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Commits on May 21, 2017

• adding buffer based training to non mpi version

  

  Julian Kates-Harbeck

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Commits on May 19, 2017

• Added maximum-based target. It uses a loss function that only penalizes the maximum value out of a temporal sequence, not the mean value. This is targeted for classification tasks in which only the…

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Commits on May 5, 2017

• added better evaluation scripting, convenience script for learning without processing, and small bug fixes in preprocessing of jet data

  

  Julian Kates-Harbeck

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• implemented convolutional layers. Only works in Tensorflow. Theano has a bug with the Conv1D layers. Tensorflow only supports basic indexing so this imposes restrictions on where in the signal list…

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Commits on May 4, 2017

• debugging preprocessing

  

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Commits on Apr 26, 2017

• Fix tab-space indentation incosistencies

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Commits on Mar 23, 2017

• Merge branch 'master' of https://github.com/PPPLDeepLearning/plasma-python into keras-2.0_migration

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• Add TensorFlow backend. Control device placement by ConfigProto. Simplified version to run on a single node

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Commits on Mar 18, 2017

• The nb_epoch argument has been renamed epochs everywhere

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Commits on Mar 1, 2017

• No test_model necessary in runner.train()

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Commits on Feb 23, 2017

• Add frnn_minimize minimizing function to HyperRunner class

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• Add HyperRunner class and keras_fmin_fnct, get_space methods required by hyperopt minimizer

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Commits on Jan 17, 2017

• Do not construct train model when only dealing with test

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Commits on Jan 3, 2017

• Remove dependency on Pylab

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Commits on Nov 6, 2016

• Initial commit: refactored code moved from original location at https://github.com/jnkh/plasma

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