concrete.ml.sklearn.tree.md

module concrete.ml.sklearn.tree

Implement the sklearn tree models.


class DecisionTreeClassifier

Implements the sklearn DecisionTreeClassifier.

method __init__

__init__(
    criterion='gini',
    splitter='best',
    max_depth=None,
    min_samples_split=2,
    min_samples_leaf=1,
    min_weight_fraction_leaf=0.0,
    max_features=None,
    random_state=None,
    max_leaf_nodes=None,
    min_impurity_decrease=0.0,
    class_weight=None,
    ccp_alpha: float = 0.0,
    n_bits: int = 6
)

Initialize the DecisionTreeClassifier.

noqa: DAR101


property onnx_model

Get the ONNX model.

.. # noqa: DAR201

Returns:

  • onnx.ModelProto: the ONNX model


class DecisionTreeRegressor

Implements the sklearn DecisionTreeClassifier.

method __init__

__init__(
    criterion='squared_error',
    splitter='best',
    max_depth=None,
    min_samples_split=2,
    min_samples_leaf=1,
    min_weight_fraction_leaf=0.0,
    max_features=None,
    random_state=None,
    max_leaf_nodes=None,
    min_impurity_decrease=0.0,
    ccp_alpha=0.0,
    n_bits: int = 6
)

Initialize the DecisionTreeRegressor.

noqa: DAR101


property onnx_model

Get the ONNX model.

.. # noqa: DAR201

Returns:

  • onnx.ModelProto: the ONNX model

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