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Fix typos and improve clarity in README.md
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README.md

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@@ -145,9 +145,9 @@ In this type of node initialization, the node features (and/or edge features) of
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python -m chebai fit --trainer=configs/training/default_trainer.yml --trainer.logger=configs/training/wandb_logger.yml --model=../python-chebai-graph/configs/model/resgated.yml --model.config.in_channels=203 --model.config.edge_dim=11 --model.train_metrics=configs/metrics/micro-macro-f1.yml --model.test_metrics=configs/metrics/micro-macro-f1.yml --model.val_metrics=configs/metrics/micro-macro-f1.yml --data=../python-chebai-graph/configs/data/chebi50_graph_properties.yml --data.pad_node_features=45 --data.pad_edge_features=4 --data.init_args.batch_size=128 --trainer.accumulate_grad_batches=4 --data.init_args.num_workers=10 --data.init_args.persistent_workers=False --model.pass_loss_kwargs=false --data.init_args.chebi_version=241 --trainer.min_epochs=200 --trainer.max_epochs=200 --model.criterion=configs/loss/bce.yml --trainer.logger.init_args.name=gni_res_props+zeros_s0
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```
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In the above command, for each node we use the 158 node features (corresponding the node properties defined in `chebi50_graph_properties.yml`) which are retrieved from RDKit and add 45 additional features (specified by `--data.pad_node_features=45`) drawn from a normal distribution (default).
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In the above command, for each node we use the 158 node features (corresponding the node properties defined in `chebi50_graph_properties.yml`) which are retrieved from RDKit and additional 45 additional features (specified by `--data.pad_node_features=45`) drawn from a normal distribution (default).
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You can change the distribution using the following config in above command: `--data.distribution=zeros`
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You can change the distribution from which additional are drawn by using the following config in above command: `--data.distribution=zeros`
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Available distributions: `"normal", "uniform", "xavier_normal", "xavier_uniform", "zeros"`
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