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How to use the m2cgen.ast.FeatureRef function in m2cgen

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github BayesWitnesses / m2cgen / tests / assemblers / test_tree.py View on Github external
def test_single_condition():
    estimator = tree.DecisionTreeRegressor()

    estimator.fit([[1], [2]], [1, 2])

    assembler = assemblers.TreeModelAssembler(estimator)
    actual = assembler.assemble()

    expected = ast.IfExpr(
        ast.CompExpr(
            ast.FeatureRef(0),
            ast.NumVal(1.5),
            ast.CompOpType.LTE),
        ast.NumVal(1.0),
        ast.NumVal(2.0))

    assert utils.cmp_exprs(actual, expected)
github BayesWitnesses / m2cgen / tests / assemblers / test_linear.py View on Github external
def test_two_features():
    estimator = linear_model.LinearRegression()
    estimator.coef_ = [1, 2]
    estimator.intercept_ = 3

    assembler = assemblers.LinearModelAssembler(estimator)
    actual = assembler.assemble()

    expected = ast.BinNumExpr(
        ast.BinNumExpr(
            ast.NumVal(3),
            ast.BinNumExpr(
                ast.FeatureRef(0),
                ast.NumVal(1),
                ast.BinNumOpType.MUL),
            ast.BinNumOpType.ADD),
        ast.BinNumExpr(
            ast.FeatureRef(1),
            ast.NumVal(2),
            ast.BinNumOpType.MUL),
        ast.BinNumOpType.ADD)

    assert utils.cmp_exprs(actual, expected)
github BayesWitnesses / m2cgen / tests / assemblers / test_xgboost.py View on Github external
expected = ast.SubroutineExpr(
        ast.BinNumExpr(
            ast.BinNumExpr(
                ast.NumVal(base_score),
                ast.IfExpr(
                    ast.CompExpr(
                        ast.FeatureRef(12),
                        ast.NumVal(9.72500038),
                        ast.CompOpType.GTE),
                    ast.NumVal(1.67318344),
                    ast.NumVal(2.92757893)),
                ast.BinNumOpType.ADD),
            ast.IfExpr(
                ast.CompExpr(
                    ast.FeatureRef(5),
                    ast.NumVal(6.94099998),
                    ast.CompOpType.GTE),
                ast.NumVal(3.3400948),
                ast.NumVal(1.72118247)),
            ast.BinNumOpType.ADD))

    assert utils.cmp_exprs(actual, expected)
github BayesWitnesses / m2cgen / tests / interpreters / test_python.py View on Github external
def test_if_expr():
    expr = ast.IfExpr(
        ast.CompExpr(ast.NumVal(1), ast.FeatureRef(0), ast.CompOpType.EQ),
        ast.NumVal(2),
        ast.NumVal(3))

    interpreter = interpreters.PythonInterpreter()

    expected_code = """
def score(input):
    if (1) == (input[0]):
        var0 = 2
    else:
        var0 = 3
    return var0
    """

    utils.assert_code_equal(interpreter.interpret(expr), expected_code)
github BayesWitnesses / m2cgen / tests / assemblers / test_lightgbm.py View on Github external
sigmoid = ast.BinNumExpr(
        ast.NumVal(1),
        ast.BinNumExpr(
            ast.NumVal(1),
            ast.ExpExpr(
                ast.BinNumExpr(
                    ast.NumVal(0),
                    ast.SubroutineExpr(
                        ast.BinNumExpr(
                            ast.BinNumExpr(
                                ast.NumVal(0),
                                ast.SubroutineExpr(
                                    ast.IfExpr(
                                        ast.CompExpr(
                                            ast.FeatureRef(23),
                                            ast.NumVal(868.2000000000002),
                                            ast.CompOpType.GT),
                                        ast.NumVal(0.2762557140263451),
                                        ast.NumVal(0.6399134166614473))),
                                ast.BinNumOpType.ADD),
                            ast.SubroutineExpr(
                                ast.IfExpr(
                                    ast.CompExpr(
                                        ast.FeatureRef(27),
                                        ast.NumVal(0.14205000000000004),
                                        ast.CompOpType.GT),
                                    ast.NumVal(-0.2139321843285849),
                                    ast.NumVal(0.1151466338793227))),
                            ast.BinNumOpType.ADD)),
                    ast.BinNumOpType.SUB)),
            ast.BinNumOpType.ADD),
github BayesWitnesses / m2cgen / tests / interpreters / test_visual_basic.py View on Github external
def test_bin_num_expr():
    expr = ast.BinNumExpr(
        ast.BinNumExpr(
            ast.FeatureRef(0), ast.NumVal(-2), ast.BinNumOpType.DIV),
        ast.NumVal(2),
        ast.BinNumOpType.MUL)

    expected_code = """
Module Model
Function score(ByRef input_vector() As Double) As Double
    score = ((input_vector(0)) / (-2)) * (2)
End Function
End Module
"""

    interpreter = VisualBasicInterpreter()
    utils.assert_code_equal(interpreter.interpret(expr), expected_code)
github BayesWitnesses / m2cgen / tests / assemblers / test_lightgbm.py View on Github external
expected = ast.SubroutineExpr(
        ast.BinNumExpr(
            ast.BinNumExpr(
                ast.NumVal(0),
                ast.IfExpr(
                    ast.CompExpr(
                        ast.FeatureRef(5),
                        ast.NumVal(6.8455),
                        ast.CompOpType.GT),
                    ast.NumVal(24.007392728914056),
                    ast.NumVal(22.35695742616179)),
                ast.BinNumOpType.ADD),
            ast.IfExpr(
                ast.CompExpr(
                    ast.FeatureRef(12),
                    ast.NumVal(9.63),
                    ast.CompOpType.GT),
                ast.NumVal(-0.4903836928981587),
                ast.NumVal(0.7222498915097475)),
            ast.BinNumOpType.ADD))

    assert utils.cmp_exprs(actual, expected)
github BayesWitnesses / m2cgen / tests / assemblers / test_ensemble.py View on Github external
ast.FeatureRef(0),
                        ast.NumVal(1.5),
                        ast.CompOpType.LTE),
                    ast.VectorVal([
                        ast.NumVal(0.0),
                        ast.NumVal(1.0)]),
                    ast.VectorVal([
                        ast.NumVal(1.0),
                        ast.NumVal(0.0)]))),
            ast.NumVal(0.5),
            ast.BinNumOpType.MUL),
        ast.BinVectorNumExpr(
            ast.SubroutineExpr(
                ast.IfExpr(
                    ast.CompExpr(
                        ast.FeatureRef(0),
                        ast.NumVal(2.5),
                        ast.CompOpType.LTE),
                    ast.VectorVal([
                        ast.NumVal(1.0),
                        ast.NumVal(0.0)]),
                    ast.VectorVal([
                        ast.NumVal(0.0),
                        ast.NumVal(1.0)]))),
            ast.NumVal(0.5),
            ast.BinNumOpType.MUL),
        ast.BinNumOpType.ADD)

    assert utils.cmp_exprs(actual, expected)
github BayesWitnesses / m2cgen / tests / assemblers / test_ensemble.py View on Github external
ast.BinNumExpr(
            ast.SubroutineExpr(
                ast.IfExpr(
                    ast.CompExpr(
                        ast.FeatureRef(0),
                        ast.NumVal(1.5),
                        ast.CompOpType.LTE),
                    ast.NumVal(1.0),
                    ast.NumVal(2.0))),
            ast.NumVal(0.5),
            ast.BinNumOpType.MUL),
        ast.BinNumExpr(
            ast.SubroutineExpr(
                ast.IfExpr(
                    ast.CompExpr(
                        ast.FeatureRef(0),
                        ast.NumVal(2.5),
                        ast.CompOpType.LTE),
                    ast.NumVal(2.0),
                    ast.NumVal(3.0))),
            ast.NumVal(0.5),
            ast.BinNumOpType.MUL),
        ast.BinNumOpType.ADD)

    assert utils.cmp_exprs(actual, expected)

m2cgen

Code-generation for various ML models into native code.

GitHub
MIT
Latest version published 2 years ago

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