chore: import upstream snapshot with attribution

doc/source/tune/doc_code/keras_hyperopt.py

@@ -0,0 +1,35 @@
+# flake8: noqa
+
+accuracy = 42
+
+# __keras_hyperopt_start__
+from ray import tune
+from ray.tune.search.hyperopt import HyperOptSearch
+import keras
+
+
+def objective(config):  # <1>
+    model = keras.models.Sequential()
+    model.add(keras.layers.Dense(784, activation=config["activation"]))
+    model.add(keras.layers.Dense(10, activation="softmax"))
+
+    model.compile(loss="binary_crossentropy", optimizer="adam", metrics=["accuracy"])
+    # model.fit(...)
+    # loss, accuracy = model.evaluate(...)
+    return {"accuracy": accuracy}
+
+
+search_space = {"activation": tune.choice(["relu", "tanh"])}  # <2>
+algo = HyperOptSearch()
+
+tuner = tune.Tuner(  # <3>
+    objective,
+    tune_config=tune.TuneConfig(
+        metric="accuracy",
+        mode="max",
+        search_alg=algo,
+    ),
+    param_space=search_space,
+)
+results = tuner.fit()
+# __keras_hyperopt_end__