remove pickle steps

Author: ndharasz

crypto/example_model.ipynb

@@ -3689,78 +3689,6 @@
         "live_data[\"prediction\"] = model.predict(live_data.filter(like=\"feature_\"))\n",
         "live_data.to_parquet(\"predictions.parquet\")"
       ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 8,
-      "metadata": {
-        "id": "EX-tGFkGY_mI"
-      },
-      "outputs": [],
-      "source": [
-        "# Define your prediction pipeline as a function\n",
-        "def predict(live_features: pd.DataFrame) -> pd.DataFrame:\n",
-        "    live_predictions = model.predict(live_data.filter(like=\"feature_\"))\n",
-        "    submission = pd.Series(live_predictions, index=live_features.index)\n",
-        "    return submission.to_frame(\"prediction\")"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 9,
-      "metadata": {
-        "id": "lXl3qyWKZBsP"
-      },
-      "outputs": [],
-      "source": [
-        "# Use the cloudpickle library to serialize your function\n",
-        "import cloudpickle\n",
-        "p = cloudpickle.dumps(predict)\n",
-        "with open(\"crypto_example_model.pkl\", \"wb\") as f:\n",
-        "    f.write(p)"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 10,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 17
-        },
-        "id": "USljDjorZCqj",
-        "outputId": "94809fd6-89ab-4637-b435-957ebe6c07a1"
-      },
-      "outputs": [
-        {
-          "data": {
-            "application/javascript": "\n    async function download(id, filename, size) {\n      if (!google.colab.kernel.accessAllowed) {\n        return;\n      }\n      const div = document.createElement('div');\n      const label = document.createElement('label');\n      label.textContent = `Downloading \"${filename}\": `;\n      div.appendChild(label);\n      const progress = document.createElement('progress');\n      progress.max = size;\n      div.appendChild(progress);\n      document.body.appendChild(div);\n\n      const buffers = [];\n      let downloaded = 0;\n\n      const channel = await google.colab.kernel.comms.open(id);\n      // Send a message to notify the kernel that we're ready.\n      channel.send({})\n\n      for await (const message of channel.messages) {\n        // Send a message to notify the kernel that we're ready.\n        channel.send({})\n        if (message.buffers) {\n          for (const buffer of message.buffers) {\n            buffers.push(buffer);\n            downloaded += buffer.byteLength;\n            progress.value = downloaded;\n          }\n        }\n      }\n      const blob = new Blob(buffers, {type: 'application/binary'});\n      const a = document.createElement('a');\n      a.href = window.URL.createObjectURL(blob);\n      a.download = filename;\n      div.appendChild(a);\n      a.click();\n      div.remove();\n    }\n  ",
-            "text/plain": [
-              "<IPython.core.display.Javascript object>"
-            ]
-          },
-          "metadata": {},
-          "output_type": "display_data"
-        },
-        {
-          "data": {
-            "application/javascript": "download(\"download_8b3fb0bb-d59e-4532-9af9-f9a24c435c82\", \"crypto_example_model.pkl\", 4115725)",
-            "text/plain": [
-              "<IPython.core.display.Javascript object>"
-            ]
-          },
-          "metadata": {},
-          "output_type": "display_data"
-        }
-      ],
-      "source": [
-        "# Download file if running in Google Colab\n",
-        "try:\n",
-        "    from google.colab import files\n",
-        "    files.download('crypto_example_model.pkl')\n",
-        "except:\n",
-        "    pass"
-      ]
     }
   ],
   "metadata": {