Internal change

gPS Team · copybara-github · commit ff9ca5ec9411 · 2023-06-22T08:10:00.000-07:00
PiperOrigin-RevId: 542563246
Change-Id: I5aa614960e24e66aee4ba29b418aafb2c2c94a91
diff --git a/Dockerfile b/Dockerfile
@@ -18,4 +18,4 @@ WORKDIR .
 
 COPY . .
 
-RUN pip install --require-hashes -r requirements.txt
+RUN pip install -r requirements.txt
diff --git a/README.md b/README.md
@@ -131,11 +131,3 @@ The steps in the Crystalvalue LTV process are outlined below and are set out in
 * **Monitor feature skew and drift.** [Vertex AI Model Monitoring supports feature skew and drift detection for categorical and numerical input features.](https://cloud.google.com/vertex-ai/docs/model-monitoring/using-model-monitoring). This can be set up in the Vertex UI from your model's endpoint settings. Use this feature to set up [email alerts](https://cloud.google.com/vertex-ai/docs/model-monitoring/using-model-monitoring#email-alerts) for when the monitoring detects [Prediction Drift Training Prediction Skew](https://cloud.google.com/vertex-ai/docs/model-monitoring/using-model-monitoring#analyzing-skew-drift), which is a useful prompt to retrain the model using fresh data.
 
 
-## The team
-
-*  dfkelly@google.com
-*  dulacp@google.com
-*  pduque@google.com
-*  sumedhamenon@google.com
-
-
diff --git a/requirements.txt b/requirements.txt
diff --git a/src/custom_model.py b/src/custom_model.py
@@ -1,4 +1,4 @@
-# Copyright 2022 Google LLC.
+# Copyright 2023 Google LLC.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/src/custom_model/Dockerfile b/src/custom_model/Dockerfile
@@ -18,8 +18,8 @@ WORKDIR .
 
 COPY . .
 
-RUN python3 -m pip install --require-hashes --upgrade pip==22.3.1
-RUN pip3 install --require-hashes -r requirements.txt
+RUN python3 -m pip install --upgrade pip
+RUN pip3 install sklearn pandas tornado joblib google-cloud-storage
 
 # Expose port 8080
 EXPOSE 8080
diff --git a/src/custom_model/crystalvalue/custom_model.py b/src/custom_model/crystalvalue/custom_model.py
@@ -1,4 +1,4 @@
-# Copyright 2022 Google LLC.
+# Copyright 2023 Google LLC.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/src/custom_model/prediction_server.py b/src/custom_model/prediction_server.py
@@ -1,4 +1,4 @@
-# Copyright 2022 Google LLC.
+# Copyright 2023 Google LLC.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/src/custom_model/requirements.txt b/src/custom_model/requirements.txt

Original file line number	Diff line number	Diff line change
`@@ -18,4 +18,4 @@ WORKDIR .`
`18`	`18`
`19`	`19`	`COPY . .`
`20`	`20`
`21`		`-RUN pip install --require-hashes -r requirements.txt`
	`21`	`+RUN pip install -r requirements.txt`
-Original file line number
+Diff line change
 * **Monitor feature skew and drift.** [Vertex AI Model Monitoring supports feature skew and drift detection for categorical and numerical input features.](https://cloud.google.com/vertex-ai/docs/model-monitoring/using-model-monitoring). This can be set up in the Vertex UI from your model's endpoint settings. Use this feature to set up [email alerts](https://cloud.google.com/vertex-ai/docs/model-monitoring/using-model-monitoring#email-alerts) for when the monitoring detects [Prediction Drift Training Prediction Skew](https://cloud.google.com/vertex-ai/docs/model-monitoring/using-model-monitoring#analyzing-skew-drift), which is a useful prompt to retrain the model using fresh data.
 -## The team
+-
 -*  [email protected]
 -*  [email protected]
 -*  [email protected]
 -*  [email protected]
+-
+-
Original file line number	Diff line number	Diff line change
`@@ -1,4 +1,4 @@`
`1`		`-# Copyright 2022 Google LLC.`
	`1`	`+# Copyright 2023 Google LLC.`
`2`	`2`	`#`
`3`	`3`	`# Licensed under the Apache License, Version 2.0 (the "License");`
`4`	`4`	`# you may not use this file except in compliance with the License.`