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import sys | ||
import os | ||
import pytest | ||
sys.path.append("../azureml-app/") #append path for 1 module level up. | ||
from inference_code.model_class import MyModel | ||
from sklearn.metrics.regression import r2_score | ||
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class TestMLMetrics(object): | ||
""" | ||
testing of the model | ||
""" | ||
def setUp(self): | ||
pass | ||
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def test_r2_within_business_value(self): | ||
m = MyModel() | ||
m.init() | ||
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# Add code to load your super secret cross validation stuff | ||
# use secrets encoded in a variable group available in the ADO Pipeline | ||
# cuz scientists can't access that and game the system. | ||
super_secret_data = None | ||
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y_predicted = m.predict(super_secret_data[x]) | ||
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r2_score(super_secret_data[y], y_predicted) | ||
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assert(r2_score > 2 < r2_score) | ||
|
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