Hello @Anaid ,
Before running this script, update it with the URI for ADLS Gen2 data file along with model output return data type and ADLS/AML URI for the model file.
#Set model URI
#Set AML URI, if trained model is registered in AML
AML_MODEL_URI = "<aml model uri>" #In URI ":x" signifies model version in AML. You can choose which model version you want to run. If ":x" is not provided then by default latest version will be picked.
#Set ADLS URI, if trained model is uploaded in ADLS
ADLS_MODEL_URI = "abfss://<filesystemname>@<account name>.dfs.core.windows.net/<model mlflow folder path>"
Model URI from AML Workspace:
DATA_FILE = "abfss://data@cheprasynapse.dfs.core.windows.net/AML/LengthOfStay_cooked_small.csv"
AML_MODEL_URI_SKLEARN = "aml://mlflow_sklearn:1" #Here ":1" signifies model version in AML. We can choose which version we want to run. If ":1" is not provided then by default latest version will be picked
RETURN_TYPES = "INT"
RUNTIME = "mlflow"
Model URI uploaded to ADLS Gen2:
DATA_FILE = "abfss://data@cheprasynapse.dfs.core.windows.net/AML/LengthOfStay_cooked_small.csv"
AML_MODEL_URI_SKLEARN = "abfss://data@cheprasynapse.dfs.core.windows.net/linear_regression/linear_regression" #Here ":1" signifies model version in AML. We can choose which version we want to run. If ":1" is not provided then by default latest version will be picked
RETURN_TYPES = "INT"
RUNTIME = "mlflow"
Hope this will help. Please let us know if any further queries.
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