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Created with Raphaël 2.2.019Jun23May2120Mar18161312328Feb272625242322212019161514131211109876529Jan28272625191817161514222Dec21201911104130Nov28272625241514139813Oct16Aug1510331Jul3027241926Jun2213121125May2423222322211817151017Apr24Mar232221201917161411632128Feb262319161514131211109849Jan12Dec115Oct26Sep171615130Aug3118Jul1224Jun231732121MayfixfixfixfixImportant optimization for pan-allele models: pass network the 'name' of the allele rather than the sequence. Network uses a fixed non-trianable allele encoding that maps allele 'names' to sequences.fixmore efficient allele encodingfixUpdate AlleleEncoding to support arbitrary valuesMerge pull request #125 from openvax/v1.2.21.2.21.2.2bump versionv1.2.2v1.2.2Fix bug that led to NaN mhcflurry_prediction_high and mhcflurry_prediction_low uncertainty estimates in some casesbump version to 1.2.1Merge pull request #122 from openvax/v1.2.1Update README. Closes #121add pearsonr output during model selectionfixfixfix select_allele_specific_models_command.pyoutput additional metadata in model selectionAdd models_class_trained_with_mass_spec downloadspacingkeras backend default tweakupdate downloadsAdd models_class1_unselected_with_mass_spec downloadAdd models_class1_with_mass_spec downloadsdocs for mhcflurry 1.2Merge pull request #120 from openvax/v1.1.11.2.0 pre-1.2.11.2.0 pre-1.2.1update docsremove models_class1_consensus from downloads.ymlremove models_class1_consensusUpdate downloads.yml to include models_class1_minimaladd models_class1_minimal downloadrelax test stringencyupdate downlodasupdate models_class1_selected_no_mass_spec to more closely match models_class1Limit ensemble size to 16 in models_class1attempt fixupdate downloadsEvaluate accuracy of unselected predictors during model selection