concrete.ml.sklearn.tree.md
Last updated
Last updated
concrete.ml.sklearn.tree
Implement DecisionTree models.
DecisionTreeClassifier
Implements the sklearn DecisionTreeClassifier.
__init__
Initialize the DecisionTreeClassifier.
property fhe_circuit
Get the FHE circuit.
The FHE circuit combines computational graph, mlir, client and server into a single object. More information available in Concrete documentation (https://docs.zama.ai/concrete/getting-started/terminology_and_structure) Is None if the model is not fitted.
Returns:
Circuit
: The FHE circuit.
property is_compiled
Indicate if the model is compiled.
Returns:
bool
: If the model is compiled.
property is_fitted
Indicate if the model is fitted.
Returns:
bool
: If the model is fitted.
property n_classes_
Get the model's number of classes.
Using this attribute is deprecated.
Returns:
int
: The model's number of classes.
property onnx_model
Get the ONNX model.
Is None if the model is not fitted.
Returns:
onnx.ModelProto
: The ONNX model.
property target_classes_
Get the model's classes.
Using this attribute is deprecated.
Returns:
Optional[numpy.ndarray]
: The model's classes.
dump_dict
load_dict
post_processing
DecisionTreeRegressor
Implements the sklearn DecisionTreeClassifier.
__init__
Initialize the DecisionTreeRegressor.
property fhe_circuit
Get the FHE circuit.
The FHE circuit combines computational graph, mlir, client and server into a single object. More information available in Concrete documentation (https://docs.zama.ai/concrete/getting-started/terminology_and_structure) Is None if the model is not fitted.
Returns:
Circuit
: The FHE circuit.
property is_compiled
Indicate if the model is compiled.
Returns:
bool
: If the model is compiled.
property is_fitted
Indicate if the model is fitted.
Returns:
bool
: If the model is fitted.
property onnx_model
Get the ONNX model.
Is None if the model is not fitted.
Returns:
onnx.ModelProto
: The ONNX model.
dump_dict
load_dict