Added install command for local examples notebook (#141)

* Add features page placeholder * Update docs/source/contents/about/features/index.md Co-authored-by: Alex Rakowski <[email protected]> * Added install command for local examples notebook Co-authored-by: cliveseldon <[email protected]> Co-authored-by: Alex Rakowski <[email protected]>
SeldonIO · Apr 7, 2022 · 3bf3e96 · 3bf3e96
1 parent ff900dd
commit 3bf3e96
Showing 1 changed file with 13 additions and 82 deletions.
diff --git a/samples/local-examples.ipynb b/samples/local-examples.ipynb
@@ -9,23 +9,16 @@
     "\n",
     "\n",
     " * Build if needed and place `seldon` binary in your path\n",
-    " * Install seldon locally "
+    "   * run `make build-seldon` from operator folder and add bin folder to `PATH`\n",
+    " * Run Seldon V2 `make deploy-local` from top level folder"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "modular-digest",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "/home/clive/work/scv2/seldon-core-v2/operator/bin/seldon\r\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "!which seldon"
    ]
@@ -40,58 +33,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "id": "8b4be911",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "apiVersion: mlops.seldon.io/v1alpha1\r\n",
-      "kind: Model\r\n",
-      "metadata:\r\n",
-      "  name: iris\r\n",
-      "  namespace: seldon-mesh\r\n",
-      "spec:\r\n",
-      "  storageUri: \"gs://seldon-models/mlserver/iris\"\r\n",
-      "  requirements:\r\n",
-      "  - sklearn\r\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "!cat ./models/sklearn-iris-gs.yaml"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "id": "checked-cream",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Error: rpc error: code = FailedPrecondition desc = failed to schedule model iris\r\n",
-      "Usage:\r\n",
-      "  app model load [flags]\r\n",
-      "\r\n",
-      "Flags:\r\n",
-      "  -f, --file-path string        model file to load\r\n",
-      "  -h, --help                    help for load\r\n",
-      "      --scheduler-host string   seldon scheduler host (default \"0.0.0.0\")\r\n",
-      "      --scheduler-port int      seldon scheduler port (default 9004)\r\n",
-      "\r\n",
-      "Global Flags:\r\n",
-      "  -r, --show-request    show request\r\n",
-      "  -s, --show-response   show response (default true)\r\n",
-      "\r\n",
-      "rpc error: code = FailedPrecondition desc = failed to schedule model iris\r\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "!seldon model load -f ./models/sklearn-iris-gs.yaml"
    ]
@@ -130,18 +85,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "id": "ceramic-illness",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{}\r\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "!seldon model unload --model-name iris"
    ]
@@ -268,26 +215,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "0f2ab2a3",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "apiVersion: mlops.seldon.io/v1alpha1\r\n",
-      "kind: Model\r\n",
-      "metadata:\r\n",
-      "  name: iris\r\n",
-      "  namespace: seldon-mesh\r\n",
-      "spec:\r\n",
-      "  storageUri: \"gs://seldon-models/mlserver/iris\"\r\n",
-      "  requirements:\r\n",
-      "  - sklearn\r\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "!cat ./models/sklearn-iris-gs.yaml"
    ]
@@ -419,7 +350,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.10"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,