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Created with Raphaël 2.2.02Jun121May1918171413111096543229Apr2821201918718Feb171617Dec1313Nov124330Oct2826232221201917151412643216Sep28Jul14132130Jun2928Moving shared functionality from deep within Dataset to helper functions in common.pydon't use batch normalization in small dataset unit testspass dropout to Embedding instead of creating Dropout layerMerge pull request #27 from hammerlab/add-batch-normalizationadded batch normalization between layers and changed default initialization to divide by sum of fan_in + fan_out instead of just fan_inupdates to dataset size sensitivity scriptrun script through Python 3lots of tweaks to dataset size sensitivity scriptusing stratified sampling for dataset size sensitivityuse correct ScoreSetmoved score_set back to experiments since not using itdont' add --max-ic50 to args twiceusing mhcflurry.args in dataset-size-sensitivityadded random shrinkage for right censored affinitiesfaster algorithm for converting Dataset to nested dictionaryadded intersection operator to Datasetadded cross_validation iterator to Datasetadded helpers to Datasetdon't rely on Params.__dict__weirdly some versions of Python don't give __dict__ properties to namedtuplesmoved Params definition downadded Params namedtuple, helper to create all combinations of hyperparams, and simple testadded Dataset testsMerge pull request #26 from hammerlab/datasetadded min_ arguments to to_dense_pMHC_matrixuse Dataset.from_csv in matrix-completion-accuracygot rid of matrix completion helpersfixed import path for indices_to_hotshot_encodingremoving all references to mhcflurry.data from experiments scriptsalways return parser from args helpersadded random negative samples to trainingadded dataset-size-sensitivity scriptsmall fixesworking on liberating the titration script from the experiments directoryfixed obscure shape bug on empty arraysfixing training scriptadded typechecks as requirementonly train for 200 epochs in unit testimputation seems to be better than not for A0205added back imputation helpers