Update VMAF_Python_library.md

Netflix · Oct 18, 2020 · 7f1f48e · 7f1f48e
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@@ -365,7 +365,7 @@ A Bjøntegaard-Delta (BD) rate [implementation](../../python/vmaf/tools/bd_rate_
 
 ### LIME (Local-Explainer Model-Agnostic Explanation) Implementation
 
-An implementation of [LIME](https://arxiv.org/pdf/1602.04938.pdf) is also added as part of the repository. For more information, refer to our [analysis tools](doc/VQEG_SAM_2018_111_AnalysisToolsInVMAF.pdf) presentation. The main idea is to perform a local linear approximation to any regressor or classifier and then use the coefficients of the linearized model as indicators of feature importance. LIME can be used as part of the VMAF regression framework, for example:
+An implementation of [LIME](https://arxiv.org/pdf/1602.04938.pdf) is also added as part of the repository. For more information, refer to our [analysis tools](VQEG_SAM_2018_111_AnalysisToolsInVMAF.pdf) presentation. The main idea is to perform a local linear approximation to any regressor or classifier and then use the coefficients of the linearized model as indicators of feature importance. LIME can be used as part of the VMAF regression framework, for example:
 
 ```
 PYTHONPATH=python ./python/vmaf/script/run_vmaf.py yuv420p 576 324 \