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<test >
<type > loop</type>
<stop_conditions >
<any_of >
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<total_time_ms > 10000</total_time_ms>
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</any_of>
</stop_conditions>
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<preconditions >
<table_exists > test.hits</table_exists>
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<table_exists > hits_100m_single</table_exists>
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</preconditions>
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<create_query > DROP TABLE IF EXISTS test_model</create_query>
<create_query > CREATE TABLE test_model engine = Memory as select stochasticLinearRegressionState(0.0001)(Age, Income, ParamPrice, Robotness, RefererHash) as state from test.hits</create_query>
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<!-- Check model fit -->
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<query > SELECT stochasticLinearRegressionState(0.0001, 0, 15)(Age, Income, ParamPrice, Robotness, RefererHash) FROM test.hits FORMAT Null</query>
<query > SELECT stochasticLinearRegression(Age, Income, ParamPrice, Robotness, RefererHash) FROM test.hits FORMAT Null</query>
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<!-- Check model fit with Momentum -->
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<query > SELECT stochasticLinearRegressionState(0.0001, 0, 15, 'Momentum')(Age, Income, ParamPrice, Robotness, RefererHash) FROM hits_100m_single FORMAT Null</query>
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<!-- Check model fit with Nesterov -->
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<query > SELECT stochasticLinearRegressionState(0.0001, 0, 15, 'Nesterov')(Age, Income, ParamPrice, Robotness, RefererHash) FROM hits_100m_single FORMAT Null</query>
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<!-- Check model predict -->
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<query > WITH (SELECT state FROM test_model) AS model SELECT evalMLMethod(model, Income, ParamPrice, Robotness, RefererHash) FROM hits_100m_single FORMAT Null</query>
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<drop_query > DROP TABLE IF EXISTS test_model</drop_query>
</test>