Hide the '--language' argument

readme.md

@@ -238,20 +238,20 @@ joblib.dump(clf, 'estimator.pkl')
 
 After that the model can be transpiled by using the following command:
 
-```bash
-python -m sklearn_porter --input <PICKLE_FILE> [--output <DEST_DIR>] [--language {c,go,java,js,php,ruby}] [--c] [--java] [--js] [--go] [--php] [--ruby]
-python -m sklearn_porter -i <PICKLE_FILE> [-o <DEST_DIR>] [-l {c,go,java,js,php,ruby}] [--c] [--java] [--js] [--go] [--php] [--ruby]
+```
+python -m sklearn_porter --input <PICKLE_FILE> [--output <DEST_DIR>] [--c] [--java] [--js] [--go] [--php] [--ruby]
+python -m sklearn_porter -i <PICKLE_FILE> [-o <DEST_DIR>] [--c] [--java] [--js] [--go] [--php] [--ruby]
 ```
 
 For instance the following command transpiles the estimator to the target programming language Java:
 
-```bash
+```
 python -m sklearn_porter -i estimator.pkl --java
 ```
 
 You can change the target programming language on the fly:
 
-```bash
+```
 python -m sklearn_porter -i estimator.pkl --c
 python -m sklearn_porter -i estimator.pkl --go
 python -m sklearn_porter -i estimator.pkl --js
@@ -261,7 +261,7 @@ python -m sklearn_porter -i estimator.pkl --ruby
 
 Further information will be shown by using the `--help` parameter:
 
-```bash
+```
 python -m sklearn_porter --help
 python -m sklearn_porter -h
 ```

sklearn_porter/__main__.py

@@ -19,7 +19,7 @@ def parse_args(args):
  '--input', '-i',
  required=True,
  help=(
- 'Set the path of an exported model '
+ 'Set the path of an exported estimator '
  'in pickle (.pkl) format.'))
  parser.add_argument(
  '--output', '-o',
@@ -41,10 +41,7 @@ def parse_args(args):
  choices=languages.keys(),
  default='java',
  required=False,
- help=(
- 'Set the target programming language '
- '({}).'.format(', '.join(['"{}"'.format(key)
- for key in languages.keys()]))))
+ help=argparse.SUPPRESS)
  for key, lang in list(languages.items()):
  parser.add_argument(
  '--{}'.format(key),
@@ -62,7 +59,7 @@ def main():
 
  # Load data:
  from sklearn.externals import joblib
- model = joblib.load(input_path)
+ estimator = joblib.load(input_path)
 
  # Determine the target programming language:
  language = str(args['language']) # with default language
@@ -72,8 +69,8 @@ def main():
  language = key
  break
 
- # Port model:
- porter = Porter(model, language=language)
+ # Port estimator:
+ porter = Porter(estimator, language=language)
  details = porter.export(details=True)
  filename = details.get('filename')
 
@@ -92,7 +89,7 @@ def main():
  with open(dest_path, 'w') as file_:
  file_.write(details.get('model'))
  else:
- raise ValueError('No valid model in pickle format was found.')
+ raise ValueError('No valid estimator in pickle format was found.')
 
 if __name__ == "__main__":
  main()