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No pkl extension requirement for model name #164

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Merged
merged 6 commits into from
Jan 31, 2020
Merged

No pkl extension requirement for model name #164

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c4058e4
pkl wxtension should not be a requirement
sbaidachni Jan 30, 2020
252207a
use split to get model name
sbaidachni Jan 31, 2020
9aa4525
Merge branch 'master' into sbaydach_fix_model_path
sbaidachni Jan 31, 2020
f6533ef
Update diabetes_regression/scoring/score.py
sbaidachni Jan 31, 2020
9790118
linting
sbaidachni Jan 31, 2020
26cd625
Merge branch 'master' into sbaydach_fix_model_path
dtzar Jan 31, 2020
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18 changes: 8 additions & 10 deletions diabetes_regression/scoring/score.py
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Original file line number Diff line number Diff line change
Expand Up @@ -26,6 +26,7 @@
import numpy
import joblib
import os
from azureml.core.model import Model
from inference_schema.schema_decorators \
import input_schema, output_schema
from inference_schema.parameter_types.numpy_parameter_type \
Expand All @@ -36,16 +37,13 @@ def init():
# load the model from file into a global object
global model

# AZUREML_MODEL_DIR is an environment variable created during service
# deployment. It contains the path to the folder containing the model.
path = os.environ['AZUREML_MODEL_DIR']
model_path = None
for root, dirs, files in os.walk(path):
for file in files:
if '.pkl' in file:
model_path = os.path.join(path, file)
if model_path is None:
raise ValueError(".pkl model not found")
# we assume that we have just one model
# AZUREML_MODEL_DIR is an environment variable created during deployment.
# It is the path to the model folder
# (./azureml-models/$MODEL_NAME/$VERSION)
model_path = Model.get_model_path(
os.getenv("AZUREML_MODEL_DIR").split('/')[-2])

model = joblib.load(model_path)


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