ClickHouse/dbms/tests/performance/linear_regression.xml

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<test>
<type>loop</type>
<stop_conditions>
<any_of>
<average_speed_not_changing_for_ms>3000</average_speed_not_changing_for_ms>
<total_time_ms>10000</total_time_ms>
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</any_of>
</stop_conditions>
<preconditions>
<table_exists>test.hits</table_exists>
</preconditions>
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<main_metric>
<min_time/>
</main_metric>
<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-->
<query>WITH (SELECT stochasticLinearRegressionState(0.0001, 0, 15)(Age, Income, ParamPrice, Robotness, RefererHash) FROM test.hits) AS model SELECT 1</query>
<query>SELECT stochasticLinearRegression(Age, Income, ParamPrice, Robotness, RefererHash) FROM test.hits</query>
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<!-- Check model fit with Momentum-->
<query>WITH (SELECT stochasticLinearRegressionState(0.0001, 0, 15, 'Momentum')(Age, Income, ParamPrice, Robotness, RefererHash) FROM test.hits) AS model SELECT 1</query>
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<!-- Check model fit with Nesterov-->
<query>WITH (SELECT stochasticLinearRegressionState(0.0001, 0, 15, 'Nesterov')(Age, Income, ParamPrice, Robotness, RefererHash) FROM test.hits) AS model SELECT 1</query>
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<!-- Check model predict-->
<query>with (SELECT state FROM test_model) as model select evalMLMethod(model, Income, ParamPrice, Robotness, RefererHash) from test.hits</query>
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<drop_query>DROP TABLE IF EXISTS test_model</drop_query>
</test>