def test_linear_param_recording():
name = "myname"
group = "mygroup"
distributions = DummyDistributions()
distributions.Linear("myname", 1, 10, 10, group='mygroup')
hp_config = distributions.get_hyperparameters_config()
check_params(hp_config, distributions, name, group, 'Linear', 10, 1, 10)
def test_choice_param_recording():
name = "myname"
group = "mygroup"
distributions = DummyDistributions()
distributions.Choice("myname", ['a', 'b', 'c'], group='mygroup')
hp_config = distributions.get_hyperparameters_config()
check_params(hp_config, distributions, name, group, 'Choice', 3, 'a', 'c')
def test_range_param_recording():
name = "myname"
group = "mygroup"
distributions = DummyDistributions()
distributions.Range("myname", 1, 10, 2, group='mygroup')
hp_config = distributions.get_hyperparameters_config()
check_params(hp_config, distributions, name, group, 'Range', 5, 1, 10)
def test_fixed_param_recording():
name = "myname"
group = "mygroup"
distributions = DummyDistributions()
distributions.Fixed("myname", 42, group='mygroup')
hp_config = distributions.get_hyperparameters_config()
check_params(hp_config, distributions, name, group, 'Fixed', 1, 42, 42)
def test_boolean_param_recording():
name = "myname"
group = "mygroup"
distributions = DummyDistributions()
distributions.Boolean("myname", group='mygroup')
hp_config = distributions.get_hyperparameters_config()
check_params(hp_config, distributions, name, group, 'Boolean', 2, True,
False)
def dd():
distributions = DummyDistributions()
distributions.Boolean("myname", group='mygroup')
distributions.Range('range', 1, 20)
distributions.Linear('linear', 1, 20, 10)
distributions.Logarithmic('log', 1, 20, 10)
return distributions
def reset_distributions():
"""Reset the _DISTRIBUTIONS global object to the default."""
config._DISTRIBUTIONS = DummyDistributions()
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from kerastuner.distributions import DummyDistributions
from kerastuner import config
# set dummydistribution as default to allows evaluation and analysis
config._DISTRIBUTIONS = DummyDistributions()
def reset_distributions():
"""Reset the _DISTRIBUTIONS global object to the default."""
config._DISTRIBUTIONS = DummyDistributions()
def Fixed(name, value, group="default"):
"""Return a fixed selected value
Args:
name (str): name of the parameter
value: value of the parameter
group (str): Optional logical grouping of the parameters
Returns:
value
def test_logarithmic_correctness():
res = DummyDistributions().Logarithmic('test', 1, 2, 10)
assert res == 1
def range_range_correctness():
range_type_correctness_test(DummyDistributions())
def test_linear_correctness():
linear_correctness_test(DummyDistributions())
def choice_range_correctness():
choice_correctness_test(DummyDistributions())
def test_bool_correctness():
bool_correctness_test(DummyDistributions())
def test_fixed_correctness():
fixed_correctness_test(DummyDistributions())
def test_duplicate_param_name_same_group():
distributions = DummyDistributions()
distributions.Boolean("test", group='a')
with pytest.raises(ValueError):
distributions.Boolean("test", group='a')
def test_duplicate_param_name_diff_group():
distributions = DummyDistributions()
distributions.Boolean("test", group='a')
distributions.Boolean("test", group='b')
hp_config = distributions.get_hyperparameters_config()
assert len(hp_config) == 2