fix(download): Path naming for surrogate models

Minor other changes:
* Clip metrics from surrogates
* Reduce minimum fidelity to 1

src/mfpbench/jahs/benchmark.py

@@ -77,7 +77,7 @@ class JAHSResult(Result[JAHSConfig, int]):
 
 class JAHSBenchmark(Benchmark[JAHSConfig, JAHSResult, int], ABC):
     JAHS_FIDELITY_NAME: ClassVar[str] = "epoch"
-    JAHS_FIDELITY_RANGE: ClassVar[tuple[int, int, int]] = (3, 200, 1)
+    JAHS_FIDELITY_RANGE: ClassVar[tuple[int, int, int]] = (1, 200, 1)
     JAHS_METRICS_TO_ACTIVATE: ClassVar[tuple[str, ...]] = (
         "valid-acc",
         "test-acc",
@@ -198,7 +198,7 @@ def bench(self) -> jahs_bench.Benchmark:
                 )
 
             self._bench = jahs_bench.Benchmark(
-                task=self.task_id,
+                task=task,
                 save_dir=self.datadir,
                 download=False,
                 metrics=self.JAHS_METRICS_TO_ACTIVATE,

src/mfpbench/pd1/benchmark.py

@@ -201,7 +201,8 @@ def _results_for(
         features = xs.columns
         for metric, surrogate in self.surrogates.items():
             # We clip as sometimes the surrogate produces negative values
-            xs[metric] = surrogate.predict(xs[features]).clip(min=0)
+            bounds = self.Result.metric_defs[metric].bounds
+            xs[metric] = surrogate.predict(xs[features]).clip(*bounds)
 
         metrics = list(self.surrogates.keys())
         return [dict(r[metrics]) for _, r in xs.iterrows()]

src/mfpbench/pd1/benchmarks/cifar100.py

@@ -6,9 +6,9 @@
 
 
 class PD1cifar100_wideresnet_2048(PD1Benchmark):
-    pd1_fidelity_range = (45, 199, 1)
+    pd1_fidelity_range = (1, 199, 1)
     pd1_result_type = PD1ResultTransformer
-    pd1_name = "cifar100-wideresnet-2048"
+    pd1_name = "cifar100-wide_resnet-2048"
 
     @classmethod
     def _create_space(cls, seed: int | None = None) -> ConfigurationSpace:

src/mfpbench/pd1/benchmarks/imagenet.py

@@ -7,7 +7,7 @@
 
 class PD1imagenet_resnet_512(PD1Benchmark):
     pd1_result_type = PD1ResultTransformer
-    pd1_fidelity_range = (3, 99, 1)
+    pd1_fidelity_range = (1, 99, 1)
     pd1_name = "imagenet-resnet-512"
 
     @classmethod

src/mfpbench/pd1/benchmarks/translate_wmt.py

@@ -8,7 +8,7 @@
 class PD1translatewmt_xformer_64(PD1Benchmark):
     pd1_fidelity_range = (1, 19, 1)
     pd1_result_type = PD1ResultTransformer
-    pd1_name = "translate-wmt-xformer-64"
+    pd1_name = "translate_wmt-xformer_translate-64"
 
     @classmethod
     def _create_space(cls, seed: int | None = None) -> ConfigurationSpace:

src/mfpbench/synthetic/hartmann/benchmark.py

@@ -160,7 +160,7 @@ def __init__(
             config_type=self.mfh_config_type,
             result_type=self.mfh_result_type,
             fidelity_name="z",
-            fidelity_range=(3, _max_fidelity, 1),
+            fidelity_range=(1, _max_fidelity, 1),
             space=space,
             seed=seed,
             prior=prior,