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fix feature select combiner n_jobs
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@itlubber
itlubber committed Sep 10, 2024
1 parent 6b826b9 commit ceba6f4
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626 changes: 396 additions & 230 deletions examples/quickstart.ipynb
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163 changes: 163 additions & 0 deletions examples/scorecard.pmml
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<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<PMML xmlns="http://www.dmg.org/PMML-4_4" xmlns:data="http://jpmml.org/jpmml-model/InlineTable" version="4.4">
<Header>
<Application name="SkLearn2PMML package" version="0.110.0"/>
<Timestamp>2024-08-30T06:28:54Z</Timestamp>
</Header>
<MiningBuildTask>
<Extension name="repr">PMMLPipeline(steps=[('preprocessing', DataFrameMapper(df_out=True, drop_cols=[],
features=[(['all_720_query_avg_org'],
ExpressionTransformer(expr='116.31861805531601 if '
'X[0] &lt; 0.2568 else '
'67.13308122593628')),
(['help_loan_1080_query_times'],
ExpressionTransformer(expr='118.55489075866564 if '
'X[0] &lt; 1 else '
'62.89909217920857')),
(['not_bank_1080_query_weekday_days'],
ExpressionTransformer(expr='121...
'108.47564228238582')),
(['all_60_query_avg_org'],
ExpressionTransformer(expr='88.4396327976653 if '
'X[0] &lt; 0.4 else '
'81.21864819541842')),
(['bank_1080_query_org_avg_times'],
ExpressionTransformer(expr='68.15140311787648 if '
'X[0] &lt; 1.0 else '
'101.96618280101227')),
(['not_bank_180_query_avg_org'],
ExpressionTransformer(expr='109.67610047709874 if '
'X[0] &lt; 0.381 else '
'42.48148366452569'))])),
('scorecard', LinearRegression(fit_intercept=False))])</Extension>
</MiningBuildTask>
<DataDictionary>
<DataField name="score" optype="continuous" dataType="double"/>
<DataField name="all_720_query_avg_org" optype="continuous" dataType="double"/>
<DataField name="help_loan_1080_query_times" optype="continuous" dataType="double"/>
<DataField name="not_bank_1080_query_weekday_days" optype="continuous" dataType="double"/>
<DataField name="not_bank_90_event_30_query_times_std" optype="continuous" dataType="double"/>
<DataField name="bank_720_query_avg_org" optype="continuous" dataType="double"/>
<DataField name="all_180_event_30_query_times_std" optype="continuous" dataType="double"/>
<DataField name="all_60_query_avg_org" optype="continuous" dataType="double"/>
<DataField name="bank_1080_query_org_avg_times" optype="continuous" dataType="double"/>
<DataField name="not_bank_180_query_avg_org" optype="continuous" dataType="double"/>
</DataDictionary>
<RegressionModel functionName="regression" algorithmName="sklearn.linear_model._base.LinearRegression">
<MiningSchema>
<MiningField name="score" usageType="target"/>
<MiningField name="all_720_query_avg_org"/>
<MiningField name="help_loan_1080_query_times"/>
<MiningField name="not_bank_1080_query_weekday_days"/>
<MiningField name="not_bank_90_event_30_query_times_std"/>
<MiningField name="bank_720_query_avg_org"/>
<MiningField name="all_180_event_30_query_times_std"/>
<MiningField name="all_60_query_avg_org"/>
<MiningField name="bank_1080_query_org_avg_times"/>
<MiningField name="not_bank_180_query_avg_org"/>
</MiningSchema>
<LocalTransformations>
<DerivedField name="eval(116.31861805531601 if X[0] &lt; 0.2568 else 67.13308122593628)" optype="continuous" dataType="double">
<Apply function="if">
<Apply function="lessThan">
<FieldRef field="all_720_query_avg_org"/>
<Constant dataType="double">0.2568</Constant>
</Apply>
<Constant dataType="double">116.31861805531601</Constant>
<Constant dataType="double">67.13308122593628</Constant>
</Apply>
</DerivedField>
<DerivedField name="eval(118.55489075866564 if X[0] &lt; 1 else 62.89909217920857)" optype="continuous" dataType="double">
<Apply function="if">
<Apply function="lessThan">
<FieldRef field="help_loan_1080_query_times"/>
<Constant dataType="integer">1</Constant>
</Apply>
<Constant dataType="double">118.55489075866564</Constant>
<Constant dataType="double">62.89909217920857</Constant>
</Apply>
</DerivedField>
<DerivedField name="eval(121.22626170081081 if X[0] &lt; 2 else 59.65630196796644)" optype="continuous" dataType="double">
<Apply function="if">
<Apply function="lessThan">
<FieldRef field="not_bank_1080_query_weekday_days"/>
<Constant dataType="integer">2</Constant>
</Apply>
<Constant dataType="double">121.22626170081081</Constant>
<Constant dataType="double">59.65630196796644</Constant>
</Apply>
</DerivedField>
<DerivedField name="eval(98.36678169439556 if X[0] &lt; 0.0 else 67.39540445245542)" optype="continuous" dataType="double">
<Apply function="if">
<Apply function="lessThan">
<FieldRef field="not_bank_90_event_30_query_times_std"/>
<Constant dataType="double">0.0</Constant>
</Apply>
<Constant dataType="double">98.36678169439556</Constant>
<Constant dataType="double">67.39540445245542</Constant>
</Apply>
</DerivedField>
<DerivedField name="eval(90.40493982042932 if X[0] &lt; 0.8333 else 74.43738758194276)" optype="continuous" dataType="double">
<Apply function="if">
<Apply function="lessThan">
<FieldRef field="bank_720_query_avg_org"/>
<Constant dataType="double">0.8333</Constant>
</Apply>
<Constant dataType="double">90.40493982042932</Constant>
<Constant dataType="double">74.43738758194276</Constant>
</Apply>
</DerivedField>
<DerivedField name="eval(50.979707045210986 if X[0] &lt; 0.0 else 108.47564228238582)" optype="continuous" dataType="double">
<Apply function="if">
<Apply function="lessThan">
<FieldRef field="all_180_event_30_query_times_std"/>
<Constant dataType="double">0.0</Constant>
</Apply>
<Constant dataType="double">50.979707045210986</Constant>
<Constant dataType="double">108.47564228238582</Constant>
</Apply>
</DerivedField>
<DerivedField name="eval(88.4396327976653 if X[0] &lt; 0.4 else 81.21864819541842)" optype="continuous" dataType="double">
<Apply function="if">
<Apply function="lessThan">
<FieldRef field="all_60_query_avg_org"/>
<Constant dataType="double">0.4</Constant>
</Apply>
<Constant dataType="double">88.4396327976653</Constant>
<Constant dataType="double">81.21864819541842</Constant>
</Apply>
</DerivedField>
<DerivedField name="eval(68.15140311787648 if X[0] &lt; 1.0 else 101.96618280101227)" optype="continuous" dataType="double">
<Apply function="if">
<Apply function="lessThan">
<FieldRef field="bank_1080_query_org_avg_times"/>
<Constant dataType="double">1.0</Constant>
</Apply>
<Constant dataType="double">68.15140311787648</Constant>
<Constant dataType="double">101.96618280101227</Constant>
</Apply>
</DerivedField>
<DerivedField name="eval(109.67610047709874 if X[0] &lt; 0.381 else 42.48148366452569)" optype="continuous" dataType="double">
<Apply function="if">
<Apply function="lessThan">
<FieldRef field="not_bank_180_query_avg_org"/>
<Constant dataType="double">0.381</Constant>
</Apply>
<Constant dataType="double">109.67610047709874</Constant>
<Constant dataType="double">42.48148366452569</Constant>
</Apply>
</DerivedField>
</LocalTransformations>
<RegressionTable intercept="0.0">
<NumericPredictor name="eval(116.31861805531601 if X[0] &lt; 0.2568 else 67.13308122593628)" coefficient="1.0"/>
<NumericPredictor name="eval(118.55489075866564 if X[0] &lt; 1 else 62.89909217920857)" coefficient="1.0"/>
<NumericPredictor name="eval(121.22626170081081 if X[0] &lt; 2 else 59.65630196796644)" coefficient="1.0"/>
<NumericPredictor name="eval(98.36678169439556 if X[0] &lt; 0.0 else 67.39540445245542)" coefficient="1.0"/>
<NumericPredictor name="eval(90.40493982042932 if X[0] &lt; 0.8333 else 74.43738758194276)" coefficient="1.0"/>
<NumericPredictor name="eval(50.979707045210986 if X[0] &lt; 0.0 else 108.47564228238582)" coefficient="1.0"/>
<NumericPredictor name="eval(88.4396327976653 if X[0] &lt; 0.4 else 81.21864819541842)" coefficient="1.0"/>
<NumericPredictor name="eval(68.15140311787648 if X[0] &lt; 1.0 else 101.96618280101227)" coefficient="1.0"/>
<NumericPredictor name="eval(109.67610047709874 if X[0] &lt; 0.381 else 42.48148366452569)" coefficient="1.0"/>
</RegressionTable>
</RegressionModel>
</PMML>
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