add validation tags to image notebooks (#2708)

* image notebooks - add validation tags

* rename files with long names

* renaming workflow

* remove coco stuff for validation

* add validation tag for limit settings in od

* add validation-trials tag

* revert rename forecasting files

* add batch scoring tags

sdk/python/jobs/automl-standalone-jobs/automl-image-classification-multiclass-task-fridge-items/automl-image-classification-multiclass-task-fridge-items.ipynb

@@ -87,7 +87,10 @@
      "transient": {
       "deleting": false
      }
-    }
+    },
+    "tags": [
+     "validation-workspace"
+    ]
    },
    "outputs": [],
    "source": [
@@ -440,7 +443,11 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "validation-compute"
+    ]
+   },
    "outputs": [],
    "source": [
     "from azure.ai.ml.entities import AmlCompute\n",
@@ -475,7 +482,11 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "validation-remove"
+    ]
+   },
    "source": [
     "## 4.1. Automatic hyperparameter sweeping for your models (AutoMode)\n",
     "\n",
@@ -518,7 +529,11 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "validation-remove"
+    ]
+   },
    "outputs": [],
    "source": [
     "# Create the AutoML job with the related factory-function.\n",
@@ -542,7 +557,11 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "validation-remove"
+    ]
+   },
    "source": [
     "### Submitting an AutoML job for Computer Vision tasks\n",
     "Once you've configured your job, you can submit it as a job in the workspace in order to train a vision model using your training dataset."
@@ -551,7 +570,11 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "validation-remove"
+    ]
+   },
    "outputs": [],
    "source": [
     "# Submit the AutoML job\n",
@@ -565,15 +588,23 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "validation-remove"
+    ]
+   },
    "outputs": [],
    "source": [
     "ml_client.jobs.stream(returned_job.name)"
    ]
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "validation-remove"
+    ]
+   },
    "source": [
     "## 4.2. Individual runs\n",
     "\n",
@@ -596,7 +627,11 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "validation-remove"
+    ]
+   },
    "outputs": [],
    "source": [
     "# Create the AutoML job with the related factory-function.\n",
@@ -618,7 +653,11 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "validation-remove"
+    ]
+   },
    "outputs": [],
    "source": [
     "# Submit the AutoML job\n",
@@ -630,15 +669,23 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "validation-remove"
+    ]
+   },
    "outputs": [],
    "source": [
     "ml_client.jobs.stream(returned_job.name)"
    ]
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "validation-remove"
+    ]
+   },
    "source": [
     "### 4.2.1 Individual runs with models from Hugging Face (Preview)\n",
     "\n",
@@ -650,7 +697,11 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "validation-remove"
+    ]
+   },
    "outputs": [],
    "source": [
     "registry_ml_client = MLClient(credential, registry_name=\"azureml\")\n",
@@ -670,15 +721,23 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "validation-remove"
+    ]
+   },
    "source": [
     "If you wish to try a model (say `microsoft/beit-base-patch16-224-pt22k-ft22k`), you can specify the job for your AutoML Image runs as follows:"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "validation-remove"
+    ]
+   },
    "outputs": [],
    "source": [
     "# Create the AutoML job with the related factory-function.\n",
@@ -701,7 +760,11 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "validation-remove"
+    ]
+   },
    "outputs": [],
    "source": [
     "# Submit the AutoML job\n",
@@ -713,7 +776,11 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "validation-remove"
+    ]
+   },
    "outputs": [],
    "source": [
     "ml_client.jobs.stream(returned_job.name)"
@@ -755,7 +822,11 @@
      "transient": {
       "deleting": false
      }
-    }
+    },
+    "tags": [
+     "validation-scenario",
+     "validation-trials"
+    ]
    },
    "outputs": [],
    "source": [
@@ -857,7 +928,11 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "validation-remove"
+    ]
+   },
    "source": [
     "### 4.3.1 Manual hyperparameter sweeping for models from Hugging Face (Preview)\n",
     "\n",
@@ -869,7 +944,11 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "validation-remove"
+    ]
+   },
    "outputs": [],
    "source": [
     "# Create the AutoML job with the related factory-function.\n",
@@ -920,7 +999,11 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "validation-remove"
+    ]
+   },
    "outputs": [],
    "source": [
     "# Submit the AutoML job\n",
@@ -934,7 +1017,11 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "validation-remove"
+    ]
+   },
    "outputs": [],
    "source": [
     "ml_client.jobs.stream(returned_job_hf.name)"
@@ -1266,7 +1353,11 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "validation-deployment"
+    ]
+   },
    "outputs": [],
    "source": [
     "deployment = ManagedOnlineDeployment(\n",