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bindernet avatar bindernet commented on August 18, 2024

I can see there's a PowerFunctionTransformer. What I'm ultimately looking to do is create a rounding transformer, something like

ExpressionTransformer(
        f"numpy.rint(X[0] * numpy.power(10.0, {places})) / numpy.power(10.0, {places})"
    )

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vruusmann avatar vruusmann commented on August 18, 2024

Back in the day when the Python expression parser component was still part of the JPMML-SkLearn library, then it only supported unary (aka one-arg) functions.

The numpy.power function is a binary (aka two-arg) function. Hence it couldn't be supported.

The Python expression parser component has been refactored now.

@bindernet Are you interested in any other multi-ary numpy functions besides numpy.power? Now is the time to ask!

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bindernet avatar bindernet commented on August 18, 2024

Thanks! That's my urgent need right now. Looking at the list of universal functions with 2 parameters, ,float_power could also be useful in certain circumstances.

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