ignores python notebook links for linting

docs/build_DITTO.md

@@ -86,9 +86,11 @@ python src/annotation_parsing/parse_single_sample.py -i clinvar.vcf.gz.variant.c
 -o clinvar.vcf.gz.variant.csv_parsed.csv.gz -c configs/opencravat_train_config.json
 ```
 
+<!-- markdown-link-check-disable -->
 Filter and process the annotations as shown in this [python
-notebook](src/annotation_parsing/opencravat_clinvar_filtering_80-20-20.ipynb). This will output training and testing
+notebook](../src/annotation_parsing/opencravat_clinvar_filtering_80-20-20.ipynb). This will output training and testing
 data to train the neural network.
+<!-- markdown-link-check-enable -->
 
 ## Tune and Train DITTO
 
@@ -117,6 +119,7 @@ Follow the below steps to install and add more databases for annotation and befo
 4. Follow the steps from Preprocessing above to parse, filter, process, tune and train DITTO.
 
 ## Benchmarking
-
-Please follow the [python notebook](../../src/analysis/opencravat_latest_benchmarking-Consequence_80_20.ipynb) to benchmark
+<!-- markdown-link-check-disable -->
+Please follow the [python notebook](../src/analysis/opencravat_latest_benchmarking-Consequence_80_20.ipynb) to benchmark
 DITTO with other pathogenicity predition tools. It also has code snippets to generate testing metrics and SHAP plots.
+<!-- markdown-link-check-enable -->