Update README.md

@@ -6,6 +6,7 @@ The IRSOM tools can be download as follow:
 ```bash
 git clone https://forge.ibisc.univ-evry.fr/lplaton/IRSOM.git
 ```
+IRSOM has been tested on python3.
 
 ## Python package
 
@@ -48,8 +49,8 @@ python scripts/train.py --featurer=${path_IRSOM}/bin/featurer -c coding1.fasta -
 ```
 
 The model parameters can be set by the command parameters:
-* --dim0=<value>	SOM dimension 0 (by default at 10)
-* --dim1=<value>	SOM dimension 1 (by default at 10).
+* --dim0=<value>	SOM dimension 0 (by default at 3)
+* --dim1=<value>	SOM dimension 1 (by default at 3).
 * --batch_size=<value>	the size of the batch given at each iteration (by default at 10).
 * --penality=<value>	Coefficient of the regularization term (by default at 0.001).
 
@@ -60,7 +61,7 @@ To keep this files, use the parameter --keep\_features.
 
 Default usage:
 ``` bash
-python scripts/predict.py --featurer=${path_IRSOM}/bin/featurer --file=fasta_file.fasta --model=${path_IRSOM}/model/species/ --output=output_dir_of_result
+python scripts/predict.py --featurer=${path_IRSOM}/bin/Featurer --file=fasta_file.fasta --model=${path_IRSOM}/model/species/ --output=output_dir_of_result
 ```
 
 As for the train script, the features are removed by default.