* 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.