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updated README

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  1. root_gnn_dgl/README.md +5 -5
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@@ -122,16 +122,16 @@ Inference is done by `scripts/inference.py`. This script applies the model defin
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  ```bash
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  python scripts/inference.py \
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- --target "/global/cfs/projectdirs/trn007/lbl_atlas/data/stats_100K/ttH_NLO.root" \
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- --destination "/global/cfs/projectdirs/trn007/lbl_atlas/data/scores/stats_100K/ttH_NLO.root" \
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  --config "configs/stats_100K/finetuning_ttH_CP_even_vs_odd.yaml" \
 
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  --chunks 1 \
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  --chunkno 0 \
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- --write \
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- --branch 'GNN_Score'
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  ```
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- You can also input a list as the `--config` and the `--branch` to simultaneously apply multiple models onto the same set of samples. An example on how to do this in shell script is in the `run_demo.sh` file.
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  ## Running Jobs + Parallelization
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  ```bash
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  python scripts/inference.py \
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+ --target "/global/cfs/projectdirs/atlas/joshua/gnn_data/stats_100K/ttH_NLO.root" \
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+ --destination "/global/cfs/projectdirs/atlas/joshua/gnn_data/scores/stats_100K/ttH_NLO.root" \
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  --config "configs/stats_100K/finetuning_ttH_CP_even_vs_odd.yaml" \
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+ --branch_name "GNN_Score" \
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  --chunks 1 \
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  --chunkno 0 \
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+ --write
 
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  ```
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+ You can also input a list as the `--config` and the `--branch_name` to simultaneously apply multiple models onto the same set of samples. An example on how to do this in shell script is in the `run_demo.sh` file.
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  ## Running Jobs + Parallelization
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