hub / github.com/ProvableHQ/python-sdk / run

Method run

zkml/zkml/leo_transpiler.py:116–136 · view source on GitHub ↗

Run the model to get a Leo computation for a given input sample. Parameters ---------- input : Union[ndarray, List[float], DataFrame, Series] The input sample or dataset for which to generate the Leo computation output. Can be a numpy ndarray, a

(
        self, input: Union[ndarray, List[float], pd.DataFrame, pd.Series]
    )

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Callers 11

test_tree_iris_runMethod · 0.95

test_tree_iris_run_datasetMethod · 0.95

test_tree_iris_run_model_parameters_as_inputsMethod · 0.95

test_tree_credit_runMethod · 0.95

test_tree_credit_run_datasetMethod · 0.95

test_tree_mnist_runMethod · 0.95

test_tree_mnist_run_datasetMethod · 0.95

test_sklearn_mlp_dummyMethod · 0.95

test_sklearn_mlp_dummy_datasetMethod · 0.95

test_mlp_mnist_runMethod · 0.95

test_mlp_mnist_benchmarkMethod · 0.95

Calls 1

_handle_inputMethod · 0.95

Tested by 11

test_tree_iris_runMethod · 0.76

test_tree_iris_run_datasetMethod · 0.76

test_tree_iris_run_model_parameters_as_inputsMethod · 0.76

test_tree_credit_runMethod · 0.76

test_tree_credit_run_datasetMethod · 0.76

test_tree_mnist_runMethod · 0.76

test_tree_mnist_run_datasetMethod · 0.76

test_sklearn_mlp_dummyMethod · 0.76

test_sklearn_mlp_dummy_datasetMethod · 0.76

test_mlp_mnist_runMethod · 0.76

test_mlp_mnist_benchmarkMethod · 0.76