Update recipe example to mlflow 2.0 requirements

Signed-off-by: Sunish Sheth <[email protected]>

.github/workflows/integration.yml

@@ -36,7 +36,6 @@ jobs:
       - name: Install dependencies
         run: |
           pip install -r ./requirements.txt
-          pip install mlflow@git+https://github.com/mlflow/mlflow@master
       - name: Run example
         run: |
           cd regression

README.md

@@ -25,7 +25,7 @@ Your contribution to MLflow Recipes is greatly appreciated by the community!
 
 ## Installation instructions
 To use MLflow Recipes in this example repository,
-simply install the packages listed in the `requirements.txt` file. Note that `Python 3.8` or above is recommended.
+simply install the packages listed in the `requirements.txt` file. Note that `Python 3.8` or above is required.
 ```
 pip install requirements.txt
 ```

classification/profiles/databricks.yaml

@@ -16,19 +16,19 @@ model_registry:
 SPLIT_RATIOS: [0.75, 0.125, 0.125]
 
 INGEST_CONFIG:
-  # For different options please read: https://github.com/mlflow/mlp-classification-template#ingest-step
+  # For different options please read: https://github.com/mlflow/recipes-classification-template#ingest-step
   using: csv
   loader_method: load_file_as_dataframe
   location:
     - "/dbfs/databricks-datasets/wine-quality/winequality-white.csv"
     - "/dbfs/databricks-datasets/wine-quality/winequality-red.csv"
 
 INGEST_SCORING_CONFIG:
-  # For different options please read: https://github.com/mlflow/mlp-classification-template#batch-scoring
+  # For different options please read: https://github.com/mlflow/recipes-classification-template#batch-scoring
   using: parquet
   location: ""
 
 PREDICT_OUTPUT_CONFIG:
-  # For different options please read: https://github.com/mlflow/mlp-classification-template#predict-step
+  # For different options please read: https://github.com/mlflow/recipes-classification-template#predict-step
   using: table
   location: "is_red_wine_prediction"

regression/notebooks/databricks.py

@@ -11,7 +11,6 @@
 # COMMAND ----------
 
 # MAGIC %pip install -r ../../requirements.txt
-# MAGIC %pip install mlflow
 
 # COMMAND ----------
 

regression/profiles/databricks.yaml

@@ -16,16 +16,16 @@ model_registry:
 SPLIT_RATIOS: [0.75, 0.125, 0.125]
 
 INGEST_CONFIG:
-  # For different options please read: https://github.com/mlflow/mlp-regression-template#ingest-step
+  # For different options please read: https://github.com/mlflow/recipes-regression-template#ingest-step
   using: spark_sql
   sql: SELECT * FROM delta.`dbfs:/databricks-datasets/nyctaxi-with-zipcodes/subsampled`
 
 INGEST_SCORING_CONFIG:
-  # For different options please read: https://github.com/mlflow/mlp-regression-template#batch-scoring
+  # For different options please read: https://github.com/mlflow/recipes-regression-template#batch-scoring
   using: spark_sql
   sql: SELECT * FROM delta.`dbfs:/databricks-datasets/nyctaxi-with-zipcodes/subsampled`
 
 PREDICT_OUTPUT_CONFIG:
-  # For different options please read: https://github.com/mlflow/mlp-regression-template#predict-step
+  # For different options please read: https://github.com/mlflow/recipes-regression-template#predict-step
   using: table
   location: "taxi_regression_batch_scoring"

regression/profiles/local.yaml

@@ -15,16 +15,16 @@ model_registry:
 SPLIT_RATIOS: [0.80, 0.10, 0.10]
 
 INGEST_CONFIG:
-  # For different options please read: https://github.com/mlflow/mlp-regression-template#ingest-step
+  # For different options please read: https://github.com/mlflow/recipes-regression-template#ingest-step
   using: parquet
   location: "./data/sample.parquet"
 
 INGEST_SCORING_CONFIG:
-  # For different options please read: https://github.com/mlflow/mlp-regression-template#batch-scoring
+  # For different options please read: https://github.com/mlflow/recipes-regression-template#batch-scoring
   using: parquet
   location: "./data/sample.parquet"
 
 PREDICT_OUTPUT_CONFIG:
-  # For different options please read: https://github.com/mlflow/mlp-regression-template#predict-step
+  # For different options please read: https://github.com/mlflow/recipes-regression-template#predict-step
   using: parquet
   location: "./data/sample_output.parquet"

requirements.txt

@@ -1,4 +1,4 @@
-mlflow>=2.0.0rc0
+mlflow>=2.0
 scikit-learn>=1.1
 ipykernel>=6.12
 ipython>=7.32