Ejemplo n.º 1
0
    "kernel": {
        "domain": "categorical",
        "data": ["linear", "sigmoid", "poly", "rbf"],
        "type": "str"
    }
},
"settings": {
    "solver": {
        "max_iterations": 500
    },
    "custom": {}
}}

# When creating a HyppopyProject instance we
# pass the config dictionary to the constructor.
project = HyppopyProject(config=config)

# When building the project programmatically we can also use the methods
# add_hyperparameter and add_settings
project.clear()
project.add_hyperparameter(name="C", domain="uniform", data=[0.0001, 20], dtype="float")
project.add_hyperparameter(name="kernel", domain="categorical", data=["linear", "sigmoid"], dtype="str")
project.add_settings(section="solver", name="max_iterations", value=500)

# The custom section can be used freely
project.add_settings(section="custom", name="my_var", value=10)

# Settings are automatically transformed to member variables of the project class with the section as prefix
if project.solver_max_iterations < 1000 and project.custom_my_var == 10:
    print("Project configured!")
Ejemplo n.º 2
0
    def test_project_creation(self):
        config = {
            "hyperparameter": {
                "C": {
                    "domain": "uniform",
                    "data": [0.0001, 20],
                    "type": "float"
                },
                "kernel": {
                    "domain": "categorical",
                    "data": ["linear", "sigmoid", "poly", "rbf"],
                    "type": "str"
                }
            },
            "settings": {
                "solver": {
                    "max_iterations": 300
                },
                "custom": {
                    "param1": 1,
                    "param2": 2,
                    "function": foo
                }
            }}

        project = HyppopyProject()
        project.set_config(config)
        self.assertEqual(project.hyperparameter["C"]["domain"], "uniform")
        self.assertEqual(project.hyperparameter["C"]["data"], [0.0001, 20])
        self.assertEqual(project.hyperparameter["C"]["type"], "float")
        self.assertEqual(project.hyperparameter["kernel"]["domain"], "categorical")
        self.assertEqual(project.hyperparameter["kernel"]["data"], ["linear", "sigmoid", "poly", "rbf"])
        self.assertEqual(project.hyperparameter["kernel"]["type"], "str")

        self.assertEqual(project.solver_max_iterations, 300)
        self.assertEqual(project.custom_param1, 1)
        self.assertEqual(project.custom_param2, 2)
        self.assertEqual(project.custom_function(2, 3), 5)

        self.assertTrue(project.get_typeof("C") is float)
        self.assertTrue(project.get_typeof("kernel") is str)

        project.clear()
        self.assertTrue(len(project.hyperparameter) == 0)
        self.assertTrue(len(project.settings) == 0)
        self.assertTrue("solver_max_iterations" not in project.__dict__.keys())
        self.assertTrue("custom_param1" not in project.__dict__.keys())
        self.assertTrue("custom_param2" not in project.__dict__.keys())
        self.assertTrue("custom_function" not in project.__dict__.keys())

        project.add_hyperparameter(name="C", domain="uniform", data=[0.0001, 20], dtype="float")
        project.add_hyperparameter(name="kernel", domain="categorical", data=["linear", "sigmoid", "poly", "rbf"], dtype="str")

        self.assertEqual(project.hyperparameter["C"]["domain"], "uniform")
        self.assertEqual(project.hyperparameter["C"]["data"], [0.0001, 20])
        self.assertEqual(project.hyperparameter["C"]["type"], "float")
        self.assertEqual(project.hyperparameter["kernel"]["domain"], "categorical")
        self.assertEqual(project.hyperparameter["kernel"]["data"], ["linear", "sigmoid", "poly", "rbf"])
        self.assertEqual(project.hyperparameter["kernel"]["type"], "str")

        project.add_settings("solver", "max_iterations", 500)
        self.assertEqual(project.solver_max_iterations, 500)
        project.add_settings("solver", "max_iterations", 200)
        self.assertEqual(project.solver_max_iterations, 200)