update to compatible dtype no more dtype manipulation allowed in work…

…flow (#1503)

Co-authored-by: Ben Frederickson <[email protected]>

examples/getting-started-movielens/03-Training-with-TF.ipynb

@@ -427,7 +427,7 @@
    "outputs": [],
    "source": [
     "for col in CATEGORICAL_COLUMNS:\n",
-    "    inputs[col] = tf.keras.Input(name=col, dtype=tf.int32, shape=(1,))\n",
+    "    inputs[col] = tf.keras.Input(name=col, dtype=tf.int64, shape=(1,))\n",
     "# Note that we need two input tensors for multi-hot categorical features\n",
     "for col in CATEGORICAL_MH_COLUMNS:\n",
     "    inputs[col] = (tf.keras.Input(name=f\"{col}__values\", dtype=tf.int64, shape=(1,)),\n",
@@ -674,10 +674,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "workflow = nvt.Workflow.load(os.path.join(INPUT_DATA_DIR, \"workflow\"))\n",
-    "\n",
-    "workflow.output_dtypes[\"userId\"] = \"int32\"\n",
-    "workflow.output_dtypes[\"movieId\"] = \"int32\""
+    "workflow = nvt.Workflow.load(os.path.join(INPUT_DATA_DIR, \"workflow\"))"
    ]
   },
   {
@@ -737,7 +734,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.12"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,