diff --git a/api_reference.html b/api_reference.html index d2228dc..e71a588 100644 --- a/api_reference.html +++ b/api_reference.html @@ -113,28 +113,45 @@
-export_dot(filepath: str = '') → None
-

Export the decision tree in DOT format for visualization with Graphviz.

-
-
Parameters

filepath (str, optional): Name of the output file.

+export_dot(out_file: str = '', feature_names: ndarray | None = None, class_names: Dict[int, str] | None = None) → None +

Export the decision tree in DOT format for visualization with Graphviz. +DOT representation is written to out_file if given, otherwise it is displayed on screen (standard output)

+
+
Parameters:
+
    +

  • out_file ((str, optional)) – Name of the output file.

    • +

  • feature_names ((numpy.ndarray, optional)) – 1D Numpy array that represents the names of the features.

    • +

  • class_names ((dict, optional)) – Dictionary with int keys and str values that represent the class names.

    • +
+
+
Return type:
+

None

-
Returns

None

+
Raises:
+

ValueError – If fit method has not been called (self.__tree is None):

-export_text(filepath: str = '') → None
-

Create a text representation of all the rules in the decision tree. +export_text(out_file: str = '', feature_names: ndarray | None = None, class_names: Dict[int, str] | None = None) → None +

Creates a text representation of all the rules in the decision tree. Text is written to out_file if given, otherwise it is displayed on screen (standard ouput).

Parameters:
-

filepath (str, optional) (Name of the output file.)

+
    +

  • out_file ((str, optional)) – Name of the output file.

    • +

  • feature_names ((numpy.ndarray, optional)) – 1D Numpy array that represents the names of the features.

    • +

  • class_names ((dict, optional)) – Dictionary with int keys and str values that represent the class names.

    • +
Return type:

None

+
Raises:
+

ValueError – If fit method has not been called (self.__tree is None):

+
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