0.6.3 minor doc changes

docs/source/usage.rst

@@ -23,7 +23,7 @@ List of commands
 There are 5 commands available in the package:
 
 - `train`: trains SENSE-PPI on a given dataset.
-- `test`: computes test metrics (AUROC, AUPRC, F1, MCC, Presicion, Recall, Accuracy) on a given dataset
+- `test`: computes test metrics (AUROC, AUPRC, F1, MCC, Presicion, Recall, Accuracy) for a given dataset
 - `predict`: predicts interactions for a given dataset
 - `predict_string`: predicts interactions for a given dataset using STRING database: the interactions are taken from the STRING database (based on seed proteins). Predictions are compared with the STRING database. Optionally, the graphs can be constructed.
 - `create_dataset`: creates a dataset from the STRING database based on the taxonomic ID of the organism.
@@ -44,8 +44,8 @@ Predict
     options:
       -h, --help            show this help message and exit
       -v, --version         show program's version number and exit
-      --min_len MIN_LEN     Minimum length of the protein sequence. The sequences with smaller length will not be considered and will be deleted from the fasta file. (Default: 50)
-      --max_len MAX_LEN     Maximum length of the protein sequence. The sequences with larger length will not be considered and will be deleted from the fasta file. (Default: 800)
+      --min_len MIN_LEN     Minimum length of the protein sequence. The sequences with smaller length will not be considered and will be deleted from the fasta file. (Default: 0)
+      --max_len MAX_LEN     Maximum length of the protein sequence. The sequences with larger length will not be considered and will be deleted from the fasta file. (Default: None)
       --device {cpu,gpu,mps,auto}
                             Device to use for computations. Options include: cpu, gpu, mps (for MacOS), and auto.If not selected the device is set by torch automatically. WARNING: mps is temporarily disabled, if it is chosen, cpu will
                             be used instead. (Default: auto)

senseppi/__init__.py

-__version__ = "0.6.2"
+__version__ = "0.6.3"
 __author__ = "Konstantin Volzhenin"
 
 from . import model, commands, esm2_model, dataset, utils, network_utils