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…dd default model to BootstrapVmafQualityRunner; fix BaggingVmafQualityRunner TYPE issue.
…ents from VmafRunner::_normalize_predict_denormalize().
…alidation of model type.
…vrTrainTestModel.
… code; Scaffold BootstrapVmafQualityRunner.
…svmNusvrTrainTestModel::predict.
…tionMaps instead of vmaf.
…mafoss doc version.
slhck
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Oct 4, 2018
* Add candidate model vmaf_4k_v0.6.1. * Add candidate model vmaf_4k_v0.6.1. * Add test for 4k v0.6.1 model. * Rename model vmaf_v0.7.0rc.pkl to vmaf_4k_v0.6.1rc.pkl. * Add bootstrap training parameter file vmaf_v6_residue_bootstrap.py; add default model to BootstrapVmafQualityRunner; fix BaggingVmafQualityRunner TYPE issue. * Add bootstrap 4k model; add test; refactor run_testing.py. * Change version convention of BootstrapVmafQualityRunner. * Add --ci option to run_vmaf. * Add --ci option to ffmpeg2vmaf; add tests. * Add --ci optin to run_vmaf_in_batch; add test. * Set up --ci option to vmafossexec arguments; to add logic in VmafRunner::run. * Refactor vmaf.h and vmaf.cpp. * Refactor vmaf.h/.cpp: move load model functions to LibsvmNusvrTrainTestModel. * Refactor vmaf.h/.cpp: extract out VmafRunner::_normalize_predict_denormalize(). * Scaffold BootstrapLibsvmNusvrTrainTestModel; remove unnecessary arguments from VmafRunner::_normalize_predict_denormalize(). * Make model polymorphism work. * Read number of models in bootstrapLibsvmNusvrTrainTestModel; update validation of model type. * Add virtual destructor to LibsvmNusvrTrainTestModel. * Make _loadModel static. * Make svm_model_ptr protected; load svm models to new field bootstrap_svm_model_ptrs. * Refactor n_subsample. * Move vmafossexec tests into one class in quality_runner_test. * Fix test_run_vmafossexec_runner_with_motion2 issue. * Refactor re n_subsample. * Refactor _normalize_predict_denormalize: remove subsampling awareness. * Refactor: extract VmafRunner::_populate_and_normalize_nodes_at_frm method. * Refactor: extract VmafRunner::_denormalize_prediction method. * Refactor: extract _transform_score() and _clip_score() method. * Misc. * Move _denormalize_prediction from VmafRunner to LibsvmNuvrTrainTestModel. * Move populate_and_normalize_nodes_at_frm from VmafRunner to LibsvmNusvrTrainTestModel. * Misc. * Remove conf_interval option from VmafRunner::run. * Rename VmafRunner to VmafQualityRunner to make consistent with Python code; Scaffold BootstrapVmafQualityRunner. * Misc. * Update predict() to make return a map intead of double; fix type check bug. * Remove numModels as class attribute in BootstrapLibsvmNusvrTrainTestModel. * Misc. * Change bootstrap_svm_model_ptrs from list to vector; add BootstrapLibsvmNusvrTrainTestModel::predict. * Update _normalize_predict_denormalize_transform_clip to output predictionMaps instead of vmaf. * Update _transform_score and _clip_score to take predictionMap. * Refactor. * Extract _set_prediction_result method. * Add virtual classes for BootstrapVmafQualityRunner; having bagging scores in log now. * Add bagging_vmaf to VmafossExecQualityRunner; bagging score mismatch. * Add stddev to vmafossexec --ci output. * Misc. * Add virtual destructor. * Add ci95_low and ci95_high field to vmafossexec --ci output; update vmafoss doc version. * Fix _get_model_i_filename issue. * Simplify predict function by returning map instead map reference. * Update README.md and CHANGELOG.md.
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