Fix test examples

test/live-reloading/python/mpg-estimator/cortex.yaml

@@ -5,4 +5,5 @@
  predictor:
  type: python
  path: predictor.py
- model_path: s3://cortex-examples/sklearn/mpg-estimator/linreg/
+ dynamic_model_loading:
+ model_path: s3://cortex-examples/sklearn/mpg-estimator/linreg/

test/model-caching/python/mpg-estimator/README.md

@@ -29,7 +29,7 @@ export ENDPOINT=your-api-endpoint
 Make a request version `1` of the `mpg-estimator` model:
 
 ```bash
-curl "${ENDPOINT}?model=resnet50&version=1" -X POST -H "Content-Type: application/json" -d @sample.json
+curl "${ENDPOINT}?version=1" -X POST -H "Content-Type: application/json" -d @sample.json
 ```
 
 The expected response is:
@@ -45,13 +45,13 @@ At this point, there is one model loaded into memory (as specified by `cache_siz
 Make a request version `2` of the `mpg-estimator` model:
 
 ```bash
-curl "${ENDPOINT}?model=mobilenet" -X POST -H "Content-Type: application/json" -d @sample.json
+curl "${ENDPOINT}?version=2" -X POST -H "Content-Type: application/json" -d @sample.json
 ```
 
 The expected response is:
 
 ```json
-{"prediction": 26.929889872154185, "model": {"name": "mpg-estimator", "version": "1"}}
+{"prediction": 26.929889872154185, "model": {"name": "mpg-estimator", "version": "2"}}
 ```
 
 ### Version 3
@@ -61,13 +61,13 @@ With the following request, version 2 of the model will have to be evicted from
 Make a request version `3` of the `mpg-estimator` model:
 
 ```bash
-curl "${ENDPOINT}?model=shufflenet" -X POST -H "Content-Type: application/json" -d @sample.json
+curl "${ENDPOINT}?version=3" -X POST -H "Content-Type: application/json" -d @sample.json
 ```
 
 The expected response is:
 
 ```json
-{"prediction": 26.929889872154185, "model": {"name": "mpg-estimator", "version": "1"}}
+{"prediction": 26.929889872154185, "model": {"name": "mpg-estimator", "version": "3"}}
 ```
 
 ---

test/model-caching/python/mpg-estimator/cortex.yaml

@@ -5,9 +5,10 @@
  predictor:
  type: python
  path: predictor.py
- models:
- paths:
- - name: mpg-estimator
- model_path: s3://cortex-examples/sklearn/mpg-estimator/linreg/
- cache_size: 1
- disk_cache_size: 2
+ dynamic_model_loading:
+ models:
+ paths:
+ - name: mpg-estimator
+ model_path: s3://cortex-examples/sklearn/mpg-estimator/linreg/
+ cache_size: 1
+ disk_cache_size: 2

test/model-caching/python/mpg-estimator/predictor.py

@@ -12,7 +12,7 @@ def load_model(self, model_path):
  return mlflow.sklearn.load_model(model_path)
 
  def predict(self, payload, query_params):
- model_name = query_params["model"]
+ model_name = "mpg-estimator"
  model_version = query_params.get("version", "latest")
 
  model = self.client.get_model(model_name, model_version)