remove unused metrics (#2728)

Summary:
Pull Request resolved: #2728

These may have once been used for benchmarking, but no longer are (not even in tests). Also, if these were to become needed again, it should be possible to define one metric based on BoTorch test functions that covers most of these, so we don't need so many classes that need their own registry entries.

Also removed Sphinx headings for metrics files that aren't in Ax.

* Removed Sphinx headings for BoTorch Test Problem and Dictionary Lookup, which don't exist anymore
* Removed JenattonMetric, AugmentedBraninMetric, AugmentedHartmannMetric
* Removed functionality from stubs that wasn't being used

Reviewed By: saitcakmak

Differential Revision: D61998254

fbshipit-source-id: 0be53742640520ead7ab6eba850a2612f47aacd1

ax/storage/json_store/registry.py

@@ -68,11 +68,11 @@
     OrEarlyStoppingStrategy,
 )
 from ax.global_stopping.strategies.improvement import ImprovementGlobalStoppingStrategy
-from ax.metrics.branin import AugmentedBraninMetric, BraninMetric, NegativeBraninMetric
+from ax.metrics.branin import BraninMetric, NegativeBraninMetric
 from ax.metrics.branin_map import BraninTimestampMapMetric
 from ax.metrics.chemistry import ChemistryMetric, ChemistryProblemType
 from ax.metrics.factorial import FactorialMetric
-from ax.metrics.hartmann6 import AugmentedHartmann6Metric, Hartmann6Metric
+from ax.metrics.hartmann6 import Hartmann6Metric
 from ax.metrics.l2norm import L2NormMetric
 from ax.metrics.noisy_function import NoisyFunctionMetric
 from ax.metrics.sklearn import SklearnDataset, SklearnMetric, SklearnModelType
@@ -178,8 +178,6 @@
     Arm: arm_to_dict,
     AuxiliaryExperiment: auxiliary_experiment_to_dict,
     AndEarlyStoppingStrategy: logical_early_stopping_strategy_to_dict,
-    AugmentedBraninMetric: metric_to_dict,
-    AugmentedHartmann6Metric: metric_to_dict,
     AutoTransitionAfterGen: transition_criterion_to_dict,
     BatchTrial: batch_to_dict,
     BenchmarkMetric: metric_to_dict,
@@ -281,8 +279,6 @@
 CORE_DECODER_REGISTRY: TDecoderRegistry = {
     "AbandonedArm": AbandonedArm,
     "AndEarlyStoppingStrategy": AndEarlyStoppingStrategy,
-    "AugmentedBraninMetric": AugmentedBraninMetric,
-    "AugmentedHartmann6Metric": AugmentedHartmann6Metric,
     "AutoTransitionAfterGen": AutoTransitionAfterGen,
     "AuxiliaryExperiment": AuxiliaryExperiment,
     "Arm": Arm,
@@ -293,7 +289,6 @@
     "BenchmarkProblem": BenchmarkProblem,
     "BenchmarkResult": BenchmarkResult,
     "BoTorchModel": BoTorchModel,
-    "BotorchTestProblemMetric": BenchmarkMetric,  # backward-compatibility
     "BotorchTestProblemRunner": BotorchTestProblemRunner,
     "BraninMetric": BraninMetric,
     "BraninTimestampMapMetric": BraninTimestampMapMetric,

ax/storage/json_store/tests/test_json_store.py

@@ -60,8 +60,6 @@
     get_acquisition_type,
     get_and_early_stopping_strategy,
     get_arm,
-    get_augmented_branin_metric,
-    get_augmented_hartmann_metric,
     get_auxiliary_experiment,
     get_batch_trial,
     get_botorch_model,
@@ -142,8 +140,6 @@
     ("AggregatedBenchmarkResult", get_aggregated_benchmark_result),
     ("AndEarlyStoppingStrategy", get_and_early_stopping_strategy),
     ("Arm", get_arm),
-    ("AugmentedBraninMetric", get_augmented_branin_metric),
-    ("AugmentedHartmannMetric", get_augmented_hartmann_metric),
     ("AuxiliaryExperiment", get_auxiliary_experiment),
     ("BatchTrial", get_batch_trial),
     ("BenchmarkMethod", get_sobol_gpei_benchmark_method),

ax/utils/testing/core_stubs.py

@@ -80,10 +80,10 @@
 from ax.exceptions.core import UserInputError
 from ax.global_stopping.strategies.base import BaseGlobalStoppingStrategy
 from ax.global_stopping.strategies.improvement import ImprovementGlobalStoppingStrategy
-from ax.metrics.branin import AugmentedBraninMetric, BraninMetric
+from ax.metrics.branin import BraninMetric
 from ax.metrics.branin_map import BraninTimestampMapMetric
 from ax.metrics.factorial import FactorialMetric
-from ax.metrics.hartmann6 import AugmentedHartmann6Metric, Hartmann6Metric
+from ax.metrics.hartmann6 import Hartmann6Metric
 from ax.modelbridge.factory import Cont_X_trans, get_factorial, get_sobol, Models
 from ax.modelbridge.generation_strategy import GenerationNode, GenerationStrategy
 from ax.modelbridge.model_spec import ModelSpec
@@ -1494,24 +1494,11 @@ def get_branin_metric(
     )
 
 
-def get_augmented_branin_metric(name: str = "aug_branin") -> AugmentedBraninMetric:
-    param_names = ["x1", "x2", "fidelity"]
-    return AugmentedBraninMetric(name=name, param_names=param_names, noise_sd=0.01)
-
-
 def get_hartmann_metric(name: str = "hartmann") -> Hartmann6Metric:
     param_names = [f"x{idx + 1}" for idx in range(6)]
     return Hartmann6Metric(name=name, param_names=param_names, noise_sd=0.01)
 
 
-def get_augmented_hartmann_metric(
-    name: str = "aug_hartmann",
-) -> AugmentedHartmann6Metric:
-    param_names = [f"x{idx + 1}" for idx in range(6)]
-    param_names.append("fidelity")
-    return AugmentedHartmann6Metric(name=name, param_names=param_names, noise_sd=0.01)
-
-
 def get_factorial_metric(name: str = "success_metric") -> FactorialMetric:
     coefficients: dict[str, dict[TParamValue, float]] = {
         "factor1": {"level11": 0.1, "level12": 0.2, "level13": 0.3},
@@ -1635,18 +1622,6 @@ def get_branin_multi_objective(num_objectives: int = 2) -> MultiObjective:
     return MultiObjective(objectives=objectives)
 
 
-def get_augmented_branin_objective() -> Objective:
-    return Objective(metric=get_augmented_branin_metric(), minimize=False)
-
-
-def get_hartmann_objective() -> Objective:
-    return Objective(metric=get_hartmann_metric(), minimize=False)
-
-
-def get_augmented_hartmann_objective() -> Objective:
-    return Objective(metric=get_augmented_hartmann_metric(), minimize=False)
-
-
 ##############################
 # Optimization Configs
 ##############################
@@ -1745,18 +1720,6 @@ def get_branin_multi_objective_optimization_config(
     )
 
 
-def get_augmented_branin_optimization_config() -> OptimizationConfig:
-    return OptimizationConfig(objective=get_augmented_branin_objective())
-
-
-def get_hartmann_optimization_config() -> OptimizationConfig:
-    return OptimizationConfig(objective=get_hartmann_objective())
-
-
-def get_augmented_hartmann_optimization_config() -> OptimizationConfig:
-    return OptimizationConfig(objective=get_augmented_hartmann_objective())
-
-
 ##############################
 # Arms
 ##############################

sphinx/source/metrics.rst

@@ -8,14 +8,6 @@ ax.metrics
 .. currentmodule:: ax.metrics
 
 
-BoTorch Test Problem
-~~~~~~~~~~~~~~~~~~~~
-
-.. automodule:: ax.metrics.botorch_test_problem
-    :members:
-    :undoc-members:
-    :show-inheritance:
-
 Branin
 ~~~~~~
 
@@ -48,14 +40,6 @@ Curve
     :undoc-members:
     :show-inheritance:
 
-Dictionary Lookup
-~~~~~~~~~~~~~~~~~
-
-.. automodule:: ax.metrics.dict_lookup
-    :members:
-    :undoc-members:
-    :show-inheritance:
-
 Factorial
 ~~~~~~~~~
 
@@ -72,15 +56,6 @@ Hartmann6
     :undoc-members:
     :show-inheritance:
 
-Jenatton
-~~~~~~~~
-
-.. automodule:: ax.metrics.jenatton
-    :members:
-    :undoc-members:
-    :show-inheritance:
-
-
 L2 Norm
 ~~~~~~~