Merge pull request #116 from afelix-95/main

Update 'Deploy to batch endpoint.ipynb'

Author: afelix-95

Labs/11/Deploy to batch endpoint.ipynb

@@ -23,9 +23,6 @@
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@@ -51,9 +48,6 @@
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@@ -76,9 +70,6 @@
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@@ -118,9 +109,6 @@
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@@ -165,9 +153,6 @@
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@@ -201,9 +186,6 @@
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@@ -271,9 +253,6 @@
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@@ -323,9 +302,6 @@
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@@ -364,9 +340,6 @@
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@@ -401,9 +374,6 @@
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@@ -440,9 +410,6 @@
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@@ -468,9 +435,6 @@
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@@ -507,42 +471,13 @@
           "transient": {
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       "outputs": [],
       "source": [
         "ml_client.jobs.download(name=job.name, download_path=\".\", output_name=\"score\")"
       ]
     },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
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-        "jupyter": {
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-          "source_hidden": false
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-      "outputs": [],
-      "source": [
-        "with open(\"predictions.csv\", \"r\") as f:\n",
-        "    data = f.read()"
-      ]
-    },
     {
       "cell_type": "code",
       "execution_count": null,
@@ -558,19 +493,13 @@
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       "outputs": [],
       "source": [
-        "from ast import literal_eval\n",
         "import pandas as pd\n",
         "\n",
-        "score = pd.DataFrame(\n",
-        "    literal_eval(data.replace(\"\\n\", \",\")), columns=[\"file\", \"prediction\"]\n",
-        ")\n",
+        "score = pd.read_csv(\"predictions.csv\", index_col=0, names=[\"patient\", \"prediction\", \"file\"])\n",
         "score"
       ]
     }