Trying to get a day of week from date
Closed this issue · 1 comments
testlambda693 commented
Hi Vilo,
I am able to create a PMML based on the following pipeline
[(['accountOpenDate'],
[Pipeline(steps=[('simpleimputer-1',
SimpleImputer(fill_value='01/01/1900 00:00:00:000',
strategy='constant')),
('simpleimputer-2',
SimpleImputer(fill_value='01/01/1900 00:00:00:000',
missing_values='', strategy='constant')),
('alias',
Alias(name='rplc_date5',
transformer=ReplaceTransformer(pattern='(\\d{1,2})/(\\d{1,2})/(\\d{2,4}) '
'(.*?)(:\\d\\d\\d)$',
replacement='\\3-\\2-\\1T\\4'))),
('casttransformer', CastTransformer(dtype='datetime64[s]'))]),
DaysSinceYearTransformer(year=1970),
Alias(name='accountOpenDate_weekday',
transformer=ExpressionTransformer(expr='-999.01 if X[0] == -25567 else '
'(X[0] + 3 ) % 7'))],
{'alias': 'accountOpenDate_weekday'})]I want to get the day of the week from the date.
A pmml file is created:
<PMML xmlns="http://www.dmg.org/PMML-4_4" version="4.4">
<Header>
<Application name="JPMML-SkLearn" version="1.6.12" />
<Timestamp>2021-02-28T09:00:33Z</Timestamp>
</Header>
<DataDictionary>
<DataField dataType="integer" name="fraud" optype="categorical">
<Value value="0" />
<Value value="1" />
</DataField>
<DataField dataType="string" name="accountOpenDate" optype="categorical">
<Value property="missing" value="" />
</DataField>
</DataDictionary>
<TransformationDictionary />
<MiningModel algorithmName="XGBoost (GBTree)" functionName="classification" x-mathContext="float">
<MiningSchema>
<MiningField name="fraud" usageType="target" />
<MiningField missingValueReplacement="01/01/1900 00:00:00:000" missingValueTreatment="asValue" name="accountOpenDate" />
</MiningSchema>
<Segmentation missingPredictionTreatment="returnMissing" multipleModelMethod="modelChain">
<Segment id="1">
<True />
<MiningModel functionName="regression" x-mathContext="float">
<MiningSchema>
<MiningField name="accountOpenDate" />
</MiningSchema>
<Output>
<OutputField dataType="float" isFinalResult="false" name="xgbValue" optype="continuous" />
<OutputField dataType="string" feature="transformedValue" name="inter:rplc_date5" optype="categorical"><FieldRef field="rplc_date5" /></OutputField><OutputField dataType="dateTime" feature="transformedValue" name="inter:date_time(rplc_date5)" optype="ordinal"><FieldRef field="date_time(rplc_date5)" /></OutputField><OutputField dataType="integer" feature="transformedValue" name="inter:daysSinceYear(date_time(rplc_date5), 1970)" optype="continuous"><FieldRef field="daysSinceYear(date_time(rplc_date5), 1970)" /></OutputField><OutputField dataType="double" feature="transformedValue" name="inter:accountOpenDate_weekday" optype="continuous"><FieldRef field="accountOpenDate_weekday" /></OutputField><OutputField dataType="float" feature="transformedValue" name="inter:float(accountOpenDate_weekday)" optype="continuous"><FieldRef field="float(accountOpenDate_weekday)" /></OutputField></Output>
<LocalTransformations>
<DerivedField dataType="string" name="rplc_date5" optype="categorical">
<Apply function="replace">
<FieldRef field="accountOpenDate" />
<Constant dataType="string">(\d{1,2})/(\d{1,2})/(\d{2,4}) (.*?)(:\d\d\d)$</Constant>
<Constant dataType="string">$3-$2-$1T$4</Constant>
</Apply>
</DerivedField>
<DerivedField dataType="dateTime" name="date_time(rplc_date5)" optype="ordinal">
<FieldRef field="rplc_date5" />
</DerivedField>
<DerivedField dataType="integer" name="daysSinceYear(date_time(rplc_date5), 1970)" optype="continuous">
<Apply function="dateDaysSinceYear">
<FieldRef field="date_time(rplc_date5)" />
<Constant dataType="integer">1970</Constant>
</Apply>
</DerivedField>
<DerivedField dataType="double" name="accountOpenDate_weekday" optype="continuous">
<Apply function="if">
<Apply function="equal">
<FieldRef field="daysSinceYear(date_time(rplc_date5), 1970)" />
<Constant dataType="integer">-25567</Constant>
</Apply>
<Constant dataType="double">-999.01</Constant>
<Apply function="modulo">
<Apply function="+">
<FieldRef field="daysSinceYear(date_time(rplc_date5), 1970)" />
<Constant dataType="integer">3</Constant>
</Apply>
<Constant dataType="integer">7</Constant>
</Apply>
</Apply>
</DerivedField>
<DerivedField dataType="float" name="float(accountOpenDate_weekday)" optype="continuous">
<FieldRef field="accountOpenDate_weekday" />
</DerivedField>
</LocalTransformations>
<Segmentation multipleModelMethod="sum">
<Segment id="1">
<True />
<TreeModel functionName="regression" noTrueChildStrategy="returnLastPrediction" x-mathContext="float">
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</TreeModel>
</Segment>
<Segment id="44">
<True />
<TreeModel functionName="regression" noTrueChildStrategy="returnLastPrediction" x-mathContext="float">
<MiningSchema>
<MiningField name="float(accountOpenDate_weekday)" />
</MiningSchema>
<Node score="0.029541967">
<True />
<Node score="-0.005389316">
<SimplePredicate field="float(accountOpenDate_weekday)" operator="greaterOrEqual" value="-499.505" />
<Node score="-0.0022058147">
<SimplePredicate field="float(accountOpenDate_weekday)" operator="greaterOrEqual" value="3.5" />
</Node>
<Node score="-0.011614009">
<SimplePredicate field="float(accountOpenDate_weekday)" operator="greaterOrEqual" value="2.5" />
</Node>
<Node score="-2.7332778E-4">
<SimplePredicate field="float(accountOpenDate_weekday)" operator="greaterOrEqual" value="1.5" />
</Node>
</Node>
</Node>
</TreeModel>
</Segment>
<Segment id="45">
<True />
<TreeModel functionName="regression" noTrueChildStrategy="returnLastPrediction" x-mathContext="float">
<MiningSchema>
<MiningField name="float(accountOpenDate_weekday)" />
</MiningSchema>
<Node score="0.015691018">
<True />
<Node score="-0.0045592333">
<SimplePredicate field="float(accountOpenDate_weekday)" operator="greaterOrEqual" value="0.5" />
<Node score="-7.9496764E-4">
<SimplePredicate field="float(accountOpenDate_weekday)" operator="greaterOrEqual" value="3.5" />
</Node>
<Node score="-0.008074227">
<SimplePredicate field="float(accountOpenDate_weekday)" operator="greaterOrEqual" value="2.5" />
</Node>
<Node score="0.0012680268">
<SimplePredicate field="float(accountOpenDate_weekday)" operator="greaterOrEqual" value="1.5" />
</Node>
</Node>
<Node score="-0.008583343">
<SimplePredicate field="float(accountOpenDate_weekday)" operator="greaterOrEqual" value="-499.505" />
</Node>
</Node>
</TreeModel>
</Segment>
<Segment id="46">
<True />
<TreeModel functionName="regression" noTrueChildStrategy="returnLastPrediction" x-mathContext="float">
<MiningSchema>
<MiningField name="float(accountOpenDate_weekday)" />
</MiningSchema>
<Node score="-0.0034897674">
<True />
<Node score="-0.007608027">
<SimplePredicate field="float(accountOpenDate_weekday)" operator="greaterOrEqual" value="3.5" />
</Node>
</Node>
</TreeModel>
</Segment>
<Segment id="47">
<True />
<TreeModel functionName="regression" noTrueChildStrategy="returnLastPrediction" x-mathContext="float">
<MiningSchema>
<MiningField name="float(accountOpenDate_weekday)" />
</MiningSchema>
<Node score="-0.0034284033">
<True />
<Node score="-0.01091512">
<SimplePredicate field="float(accountOpenDate_weekday)" operator="greaterOrEqual" value="2.5" />
<Node score="-0.0032879312">
<SimplePredicate field="float(accountOpenDate_weekday)" operator="greaterOrEqual" value="3.5" />
</Node>
</Node>
<Node score="4.416878E-4">
<SimplePredicate field="float(accountOpenDate_weekday)" operator="greaterOrEqual" value="0.5" />
</Node>
</Node>
</TreeModel>
</Segment>
<Segment id="48">
<True />
<TreeModel functionName="regression" noTrueChildStrategy="returnLastPrediction" x-mathContext="float">
<MiningSchema />
<Node score="-0.0033072364">
<True />
</Node>
</TreeModel>
</Segment>
<Segment id="49">
<True />
<TreeModel functionName="regression" noTrueChildStrategy="returnLastPrediction" x-mathContext="float">
<MiningSchema>
<MiningField name="float(accountOpenDate_weekday)" />
</MiningSchema>
<Node score="0.03230368">
<True />
<Node score="-0.007486312">
<SimplePredicate field="float(accountOpenDate_weekday)" operator="greaterOrEqual" value="-499.505" />
<Node score="-0.0025963536">
<SimplePredicate field="float(accountOpenDate_weekday)" operator="greaterOrEqual" value="3.5" />
</Node>
<Node score="-0.008188839">
<SimplePredicate field="float(accountOpenDate_weekday)" operator="greaterOrEqual" value="2.5" />
</Node>
<Node score="-0.002909976">
<SimplePredicate field="float(accountOpenDate_weekday)" operator="greaterOrEqual" value="1.5" />
</Node>
</Node>
</Node>
</TreeModel>
</Segment>
<Segment id="50">
<True />
<TreeModel functionName="regression" noTrueChildStrategy="returnLastPrediction" x-mathContext="float">
<MiningSchema>
<MiningField name="float(accountOpenDate_weekday)" />
</MiningSchema>
<Node score="0.025913997">
<True />
<Node score="0.0013337604">
<SimplePredicate field="float(accountOpenDate_weekday)" operator="greaterOrEqual" value="2.5" />
</Node>
<Node score="-0.003390784">
<SimplePredicate field="float(accountOpenDate_weekday)" operator="greaterOrEqual" value="-499.505" />
</Node>
</Node>
</TreeModel>
</Segment>
</Segmentation>
</MiningModel>
</Segment>
<Segment id="2">
<True />
<RegressionModel functionName="classification" normalizationMethod="logit" x-mathContext="float">
<MiningSchema>
<MiningField name="fraud" usageType="target" />
<MiningField name="xgbValue" />
<MiningField name="inter:rplc_date5" /><MiningField name="inter:date_time(rplc_date5)" /><MiningField name="inter:daysSinceYear(date_time(rplc_date5), 1970)" /><MiningField name="inter:accountOpenDate_weekday" /><MiningField name="inter:float(accountOpenDate_weekday)" /></MiningSchema>
<Output>
<OutputField dataType="float" feature="probability" name="probability(0)" optype="continuous" value="0" />
<OutputField dataType="float" feature="probability" name="probability(1)" optype="continuous" value="1" />
<OutputField dataType="string" feature="transformedValue" name="out:rplc_date5" optype="categorical"><FieldRef field="inter:rplc_date5" /></OutputField><OutputField dataType="dateTime" feature="transformedValue" name="out:date_time(rplc_date5)" optype="ordinal"><FieldRef field="inter:date_time(rplc_date5)" /></OutputField><OutputField dataType="integer" feature="transformedValue" name="out:daysSinceYear(date_time(rplc_date5), 1970)" optype="continuous"><FieldRef field="inter:daysSinceYear(date_time(rplc_date5), 1970)" /></OutputField><OutputField dataType="double" feature="transformedValue" name="out:accountOpenDate_weekday" optype="continuous"><FieldRef field="inter:accountOpenDate_weekday" /></OutputField><OutputField dataType="float" feature="transformedValue" name="out:float(accountOpenDate_weekday)" optype="continuous"><FieldRef field="inter:float(accountOpenDate_weekday)" /></OutputField></Output>
<RegressionTable intercept="0.0" targetCategory="1">
<NumericPredictor coefficient="1.0" name="xgbValue" />
</RegressionTable>
<RegressionTable intercept="0.0" targetCategory="0" />
</RegressionModel>
</Segment>
</Segmentation>
</MiningModel>
</PMML>Running the
from jpmml_evaluator import make_evaluator
from jpmml_evaluator.py4j import launch_gateway, Py4JBackend
gateway = launch_gateway()
# Construct a Py4J backend based on the newly launched gateway
backend = Py4JBackend(gateway)
evaluator = make_evaluator(backend, out_file).verify()
outputFields = evaluator.getOutputFields()
outputNames = [outputField.getName() for outputField in outputFields]
inputFields = evaluator.getInputFields()
results = evaluator.evaluateAll(X_test1.replace({np.nan: None}))
gateway.shutdown()gives me the error
---------------------------------------------------------------------------
Py4JJavaError Traceback (most recent call last)
<ipython-input-146-8c046dfd03eb> in <module>
13 # print("Input fields: " + str([inputField.getName() for inputField in inputFields]))
14 # print("Input types: " + str([inputField.getDataType() for inputField in inputFields]))
---> 15 results = evaluator.evaluateAll(X_test1.replace({np.nan: None}))
16
17 # print(results)
~/anaconda3/envs/python3/lib/python3.6/site-packages/jpmml_evaluator/__init__.py in evaluateAll(self, arguments_df)
89 result_records = []
90 for argument_record in argument_records:
---> 91 result_record = self.evaluate(argument_record)
92 result_records.append(result_record)
93 return DataFrame.from_records(result_records)
~/anaconda3/envs/python3/lib/python3.6/site-packages/jpmml_evaluator/__init__.py in evaluate(self, arguments)
80 javaArguments = self.backend.dict2map(arguments)
81 javaArguments = self.backend.staticInvoke("org.jpmml.evaluator.EvaluatorUtil", "encodeKeys", javaArguments)
---> 82 javaResults = self.javaEvaluator.evaluate(javaArguments)
83 javaResults = self.backend.staticInvoke("org.jpmml.evaluator.EvaluatorUtil", "decodeAll", javaResults)
84 results = self.backend.map2dict(javaResults)
~/anaconda3/envs/python3/lib/python3.6/site-packages/py4j/java_gateway.py in __call__(self, *args)
1255 answer = self.gateway_client.send_command(command)
1256 return_value = get_return_value(
-> 1257 answer, self.gateway_client, self.target_id, self.name)
1258
1259 for temp_arg in temp_args:
~/anaconda3/envs/python3/lib/python3.6/site-packages/py4j/protocol.py in get_return_value(answer, gateway_client, target_id, name)
326 raise Py4JJavaError(
327 "An error occurred while calling {0}{1}{2}.\n".
--> 328 format(target_id, ".", name), value)
329 else:
330 raise Py4JError(
Py4JJavaError: An error occurred while calling o4.evaluate.
: java.lang.IllegalArgumentException: 2010-02-18 00:00:00
at org.jpmml.evaluator.TypeUtil.parseDateTime(TypeUtil.java:309)
at org.jpmml.evaluator.TypeUtil.parse(TypeUtil.java:88)
at org.jpmml.evaluator.TypeUtil.parseOrCast(TypeUtil.java:60)
at org.jpmml.evaluator.ScalarValue.<init>(ScalarValue.java:30)
at org.jpmml.evaluator.DiscreteValue.<init>(DiscreteValue.java:27)
at org.jpmml.evaluator.OrdinalValue.<init>(OrdinalValue.java:35)
at org.jpmml.evaluator.OrdinalValue.create(OrdinalValue.java:119)
at org.jpmml.evaluator.FieldValue.create(FieldValue.java:361)
at org.jpmml.evaluator.FieldValue.cast(FieldValue.java:110)
at org.jpmml.evaluator.ExpressionUtil.evaluateTypedExpressionContainer(ExpressionUtil.java:95)
at org.jpmml.evaluator.ExpressionUtil.evaluate(ExpressionUtil.java:112)
at org.jpmml.evaluator.ModelEvaluationContext.resolve(ModelEvaluationContext.java:100)
at org.jpmml.evaluator.EvaluationContext.evaluate(EvaluationContext.java:103)
at org.jpmml.evaluator.ExpressionUtil.evaluateFieldRef(ExpressionUtil.java:245)
at org.jpmml.evaluator.ExpressionUtil.evaluateExpression(ExpressionUtil.java:166)
at org.jpmml.evaluator.ExpressionUtil.evaluate(ExpressionUtil.java:152)
at org.jpmml.evaluator.ExpressionUtil.evaluateApply(ExpressionUtil.java:449)
at org.jpmml.evaluator.ExpressionUtil.evaluateExpression(ExpressionUtil.java:190)
at org.jpmml.evaluator.ExpressionUtil.evaluate(ExpressionUtil.java:152)
at org.jpmml.evaluator.ExpressionUtil.evaluateExpressionContainer(ExpressionUtil.java:84)
at org.jpmml.evaluator.ExpressionUtil.evaluateTypedExpressionContainer(ExpressionUtil.java:89)
at org.jpmml.evaluator.ExpressionUtil.evaluate(ExpressionUtil.java:112)
at org.jpmml.evaluator.ModelEvaluationContext.resolve(ModelEvaluationContext.java:100)
at org.jpmml.evaluator.EvaluationContext.evaluate(EvaluationContext.java:103)
at org.jpmml.evaluator.ExpressionUtil.evaluateFieldRef(ExpressionUtil.java:245)
at org.jpmml.evaluator.ExpressionUtil.evaluateExpression(ExpressionUtil.java:166)
at org.jpmml.evaluator.ExpressionUtil.evaluate(ExpressionUtil.java:152)
at org.jpmml.evaluator.ExpressionUtil.evaluateApply(ExpressionUtil.java:449)
at org.jpmml.evaluator.ExpressionUtil.evaluateExpression(ExpressionUtil.java:190)
at org.jpmml.evaluator.ExpressionUtil.evaluate(ExpressionUtil.java:152)
at org.jpmml.evaluator.ExpressionUtil.evaluateApply(ExpressionUtil.java:381)
at org.jpmml.evaluator.ExpressionUtil.evaluateExpression(ExpressionUtil.java:190)
at org.jpmml.evaluator.ExpressionUtil.evaluate(ExpressionUtil.java:152)
at org.jpmml.evaluator.ExpressionUtil.evaluateExpressionContainer(ExpressionUtil.java:84)
at org.jpmml.evaluator.ExpressionUtil.evaluateTypedExpressionContainer(ExpressionUtil.java:89)
at org.jpmml.evaluator.ExpressionUtil.evaluate(ExpressionUtil.java:112)
at org.jpmml.evaluator.ModelEvaluationContext.resolve(ModelEvaluationContext.java:100)
at org.jpmml.evaluator.EvaluationContext.evaluate(EvaluationContext.java:103)
at org.jpmml.evaluator.ExpressionUtil.evaluateFieldRef(ExpressionUtil.java:245)
at org.jpmml.evaluator.ExpressionUtil.evaluateExpression(ExpressionUtil.java:166)
at org.jpmml.evaluator.ExpressionUtil.evaluate(ExpressionUtil.java:152)
at org.jpmml.evaluator.ExpressionUtil.evaluateExpressionContainer(ExpressionUtil.java:84)
at org.jpmml.evaluator.ExpressionUtil.evaluateTypedExpressionContainer(ExpressionUtil.java:89)
at org.jpmml.evaluator.ExpressionUtil.evaluate(ExpressionUtil.java:112)
at org.jpmml.evaluator.ModelEvaluationContext.resolve(ModelEvaluationContext.java:100)
at org.jpmml.evaluator.EvaluationContext.evaluate(EvaluationContext.java:103)
at org.jpmml.evaluator.ModelEvaluationContext.resolve(ModelEvaluationContext.java:142)
at org.jpmml.evaluator.EvaluationContext.evaluate(EvaluationContext.java:103)
at org.jpmml.evaluator.PredicateUtil.evaluateSimplePredicate(PredicateUtil.java:137)
at org.jpmml.evaluator.PredicateUtil.evaluatePredicate(PredicateUtil.java:83)
at org.jpmml.evaluator.PredicateUtil.evaluate(PredicateUtil.java:73)
at org.jpmml.evaluator.PredicateUtil.evaluatePredicateContainer(PredicateUtil.java:63)
at org.jpmml.evaluator.tree.SimpleTreeModelEvaluator.evaluateTree(SimpleTreeModelEvaluator.java:122)
at org.jpmml.evaluator.tree.SimpleTreeModelEvaluator.evaluateAny(SimpleTreeModelEvaluator.java:90)
at org.jpmml.evaluator.tree.SimpleTreeModelEvaluator.evaluateRegression(SimpleTreeModelEvaluator.java:77)
at org.jpmml.evaluator.ModelEvaluator.evaluateInternal(ModelEvaluator.java:474)
at org.jpmml.evaluator.mining.MiningModelEvaluator.evaluateSegmentation(MiningModelEvaluator.java:540)
at org.jpmml.evaluator.mining.MiningModelEvaluator.evaluateRegression(MiningModelEvaluator.java:246)
at org.jpmml.evaluator.ModelEvaluator.evaluateInternal(ModelEvaluator.java:474)
at org.jpmml.evaluator.mining.MiningModelEvaluator.evaluateInternal(MiningModelEvaluator.java:239)
at org.jpmml.evaluator.mining.MiningModelEvaluator.evaluateSegmentation(MiningModelEvaluator.java:540)
at org.jpmml.evaluator.mining.MiningModelEvaluator.evaluateClassification(MiningModelEvaluator.java:306)
at org.jpmml.evaluator.ModelEvaluator.evaluateInternal(ModelEvaluator.java:477)
at org.jpmml.evaluator.mining.MiningModelEvaluator.evaluateInternal(MiningModelEvaluator.java:239)
at org.jpmml.evaluator.ModelEvaluator.evaluate(ModelEvaluator.java:306)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.base/java.lang.reflect.Method.invoke(Method.java:566)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.base/java.lang.Thread.run(Thread.java:834)
Caused by: java.time.format.DateTimeParseException: Text '2010-02-18 00:00:00' could not be parsed at index 10
at java.base/java.time.format.DateTimeFormatter.parseResolved0(DateTimeFormatter.java:2046)
at java.base/java.time.format.DateTimeFormatter.parse(DateTimeFormatter.java:1948)
at java.base/java.time.LocalDateTime.parse(LocalDateTime.java:492)
at java.base/java.time.LocalDateTime.parse(LocalDateTime.java:477)
at org.jpmml.evaluator.TypeUtil.parseDateTime(TypeUtil.java:307)
... 75 more
vruusmann commented
java.lang.IllegalArgumentException: 2010-02-18 00:00:00
You've generated a datetime string "2010-02-18 00:00:00", which violates basic ISO 8601 requirements.
Fix your datetime formatting logic.
This issue has nothing to do with the JPMML software stack (especially the JPMML-Evaluator(-Python) library).
Also, next time, spend 10 seconds and format your issue properly. It's such a mess (also kind of suggests why your own application code never works).