Start v1.20.0-dev work (#7095)

Author: vtaskow

README.md

@@ -68,7 +68,7 @@ We provide optimized model servers for some of the most popular Deep Learning an
 You only have to upload your model binaries into your preferred object store, in this case we have a trained scikit-learn iris model in a Google bucket:
 
 ```console
-gs://seldon-models/v1.19.0-dev/sklearn/iris/model.joblib
+gs://seldon-models/v1.20.0-dev/sklearn/iris/model.joblib
 ```
 
 Create a namespace to run your model in:
@@ -91,7 +91,7 @@ spec:
   predictors:
   - graph:
       implementation: SKLEARN_SERVER
-      modelUri: gs://seldon-models/v1.19.0-dev/sklearn/iris
+      modelUri: gs://seldon-models/v1.20.0-dev/sklearn/iris
       name: classifier
     name: default
     replicas: 1

components/alibi-detect-server/Dockerfile

@@ -5,7 +5,7 @@ FROM ${BASE_IMAGE}:${VERSION} AS base
 ARG VERSION
 LABEL name="Seldon Alibi Detect Server" \
     vendor="Seldon Technologies" \
-    version="1.19.0-dev" \
+    version="1.20.0-dev" \
     release="1" \
     summary="Alibi Detect Server for Seldon Core" \
     description="The Alibi Detect Server provides outlier, drift and adversarial detection services for Seldon Core"

components/alibi-detect-server/pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "adserver"
-version = "1.19.0-dev"
+version = "1.20.0-dev"
 description = "Model Explanation Server"
 authors = ["Seldon Technologies Ltd. <hello@seldon.io>"]
 license = "Business Source License 1.1"

components/alibi-explain-server/Dockerfile

@@ -5,7 +5,7 @@ FROM ${BASE_IMAGE}:${VERSION} AS base
 ARG VERSION
 LABEL name="Seldon Alibi Wrapper" \
       vendor="Seldon Technologies" \
-      version="1.19.0-dev" \
+      version="1.20.0-dev" \
       release="1" \
       summary="Alibi Explainer Wrapper for Seldon Core" \
       description="Allows Seldon Core inference models to run with a black box model explanation model from the Alibi:Explain project"

components/alibi-explain-server/Makefile

@@ -76,7 +76,7 @@ clean:
 #
 test_models/sklearn/iris:
 	mkdir -p test_models/sklearn/iris
-	gsutil cp -r gs://seldon-models/v1.19.0-dev/sklearn/iris test_models/sklearn
+	gsutil cp -r gs://seldon-models/v1.20.0-dev/sklearn/iris test_models/sklearn
 
 test_models/explainers/anchor_tabular:
 	mkdir -p test_models/explainers/anchor_tabular

components/alibi-explain-server/pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "alibiexplainer"
-version = "1.19.0-dev"
+version = "1.20.0-dev"
 description = "Model Explanation Server"
 authors = ["Seldon Technologies Ltd. <hello@seldon.io>"]
 license = "Business Source License 1.1"

components/alibi-explain-server/tests/test_anchor_tabular.py

@@ -29,7 +29,7 @@
 from .make_test_models import make_anchor_tabular
 from .utils import SKLearnServer
 
-IRIS_MODEL_URI = "gs://seldon-models/v1.19.0-dev/sklearn/iris/*"
+IRIS_MODEL_URI = "gs://seldon-models/v1.20.0-dev/sklearn/iris/*"
 
 
 def test_anchor_tabular():

components/alibi-explain-server/tests/test_app.py

@@ -9,7 +9,7 @@
 from .make_test_models import make_anchor_tabular
 from .utils import SKLearnServer
 
-IRIS_MODEL_URI = "gs://seldon-models/v1.19.0-dev/sklearn/iris/*"
+IRIS_MODEL_URI = "gs://seldon-models/v1.20.0-dev/sklearn/iris/*"
 
 
 class TestExplainerApp(AsyncHTTPTestCase):

components/drift-detection/cifar10/cifar10_drift.ipynb

@@ -305,7 +305,7 @@
     "        autoscaling.knative.dev/minScale: \"1\"\n",
     "    spec:\n",
     "      containers:\n",
-    "      - image: seldonio/alibi-detect-server:1.19.0-dev\n",
+    "      - image: seldonio/alibi-detect-server:1.20.0-dev\n",
     "        imagePullPolicy: IfNotPresent\n",
     "        args:\n",
     "        - --model_name\n",

components/outlier-detection/cifar10/cifar10_outlier.ipynb

@@ -401,7 +401,7 @@
     "        autoscaling.knative.dev/minScale: \"1\"\n",
     "    spec:\n",
     "      containers:\n",
-    "      - image: seldonio/alibi-detect-server:1.19.0-dev\n",
+    "      - image: seldonio/alibi-detect-server:1.20.0-dev\n",
     "        imagePullPolicy: IfNotPresent\n",
     "        args:\n",
     "        - --model_name\n",