def convert(model, features, target):
"""Convert a LinearSVR model to the protobuf spec.
Parameters
----------
model: LinearSVR
A trained LinearSVR model.
feature_names: [str]
Name of the input columns.
target: str
Name of the output column.
Returns
-------
model_spec: An object of type Model_pb.
Protobuf representation of the model
"""
if not(_HAS_SKLEARN):
raise RuntimeError('scikit-learn not found. scikit-learn conversion API is disabled.')
# Check the scikit learn model
_sklearn_util.check_expected_type(model, _LinearSVR)
_sklearn_util.check_fitted(model, lambda m: hasattr(m, 'coef_'))
return _MLModel(_linear_regression._convert(model, features, target))
评论列表
文章目录