pycaret.classification.convert_model

pycaret.classification.convert_model(estimator, language: str = 'python') → str

This function transpiles trained machine learning models into native inference script in different programming languages (Python, C, Java, Go, JavaScript, Visual Basic, C#, PowerShell, R, PHP, Dart, Haskell, Ruby, F#). This functionality is very useful if you want to deploy models into environments where you can’t install your normal Python stack to support model inference.

Example

>>> from pycaret.datasets import get_data
>>> juice = get_data('juice')
>>> from pycaret.classification import *
>>> exp_name = setup(data = juice,  target = 'Purchase')
>>> lr = create_model('lr')
>>> lr_java = convert_model(lr, 'java')

estimator: scikit-learn compatible object

Trained model object

language: str, default = ‘python’

Language in which inference script to be generated. Following options are available:

• ‘python’

• ‘java’

• ‘javascript’

• ‘c’

• ‘c#’

• ‘f#’

• ‘go’

• ‘haskell’

• ‘php’

• ‘powershell’

• ‘r’

• ‘ruby’

• ‘vb’

• ‘dart’

Returns:

str