コード例 #1
0
    def export_coreml(self, filename):
        """
        Export the model in Core ML format.

        Parameters
        ----------
        filename: str
          A valid filename where the model can be saved.

        Examples
        --------
        >>> model.export_coreml("MyModel.mlmodel")
        """
        from turicreate.extensions import _logistic_classifier_export_as_model_asset
        from turicreate.toolkits import _coreml_utils

        display_name = "text classifier"
        short_description = _coreml_utils._mlmodel_short_description(
            display_name)
        context = {
            "class": self.__class__.__name__,
            "short_description": short_description,
        }
        context["user_defined"] = _coreml_utils._get_model_metadata(
            self.__class__.__name__, None)

        model = self.__proxy__["classifier"].__proxy__
        _logistic_classifier_export_as_model_asset(model, filename, context)
コード例 #2
0
    def export_coreml(self, filename):
        """
        Export the model in Core ML format.

        Parameters
        ----------
        filename: str
          A valid filename where the model can be saved.

        Examples
        --------
        >>> model.export_coreml("MyModel.mlmodel")
        """
        from turicreate.extensions import _logistic_classifier_export_as_model_asset
        from turicreate.toolkits import _coreml_utils

        display_name = 'text classifier'
        short_description = _coreml_utils._mlmodel_short_description(
            display_name)
        context = {
            'class': self.__class__.__name__,
            'version': _tc.__version__,
            'short_description': short_description,
            'user_defined': {
                'turicreate_version': _tc.__version__
            }
        }

        model = self.__proxy__['classifier'].__proxy__

        _logistic_classifier_export_as_model_asset(model, filename, context)
コード例 #3
0
    def export_coreml(self, filename):
        """
        Export the model in Core ML format.

        Parameters
        ----------
        filename: str
          A valid filename where the model can be saved.

        Examples
        --------
        >>> model.export_coreml("MyModel.mlmodel")
        """
        from turicreate.extensions import _logistic_classifier_export_as_model_asset
        from turicreate.toolkits import _coreml_utils
        display_name = "logistic classifier"
        short_description = _coreml_utils._mlmodel_short_description(
            display_name)
        context = {
            "class": self.__class__.__name__,
            "version": _turicreate.__version__,
            "short_description": short_description
        }
        _logistic_classifier_export_as_model_asset(self.__proxy__, filename,
                                                   context)