adapt cCM playground notebook [no ci]

Author: vpratz

examples/experimental/Continuous_Consistency_Model_Playground.ipynb

@@ -154,8 +154,6 @@
     "    .to_array()\n",
     "    # convert from numpy's default float64 to deep learning friendly float32\n",
     "    .convert_dtype(\"float64\", \"float32\")\n",
-    "    # standardize all variables to zero mean and unit variance\n",
-    "    .standardize(momentum=None)\n",
     "    # rename the variables to match the required approximator inputs\n",
     "    .rename(\"theta\", \"inference_variables\").rename(\"x\", \"inference_conditions\")\n",
     ")\n",
@@ -294,6 +292,7 @@
     "cm_approximator = bf.ContinuousApproximator(\n",
     "    inference_network=inference_network,\n",
     "    adapter=adapter,\n",
+    "    standardize=\"all\",\n",
     ")"
    ]
   },