Fix segfault in NormalizeComponentsUnitInterval::train()#298
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ssam18 wants to merge 1 commit intoShark-ML:masterfrom
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Fix segfault in NormalizeComponentsUnitInterval::train()#298ssam18 wants to merge 1 commit intoShark-ML:masterfrom
ssam18 wants to merge 1 commit intoShark-ML:masterfrom
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Change RealVector to DataType for min/max variables in train() method. When the template is instantiated with a different vector type (e.g., remora::vector<double, remora::cpu_tag>), the implicit conversion from the element proxy to RealVector fails, causing a segmentation fault. Fixes Shark-ML#285
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Summary
Fix segmentation fault in
NormalizeComponentsUnitInterval::train()when using non-default template types.Problem
When the
NormalizeComponentsUnitIntervaltemplate is instantiated with a vector type other thanRealVector(e.g.,remora::vector<double, remora::cpu_tag>), thetrain()method crashes with a segmentation fault at:The implicit conversion from the element proxy object to
RealVectorfails for non-default types.Solution
Change
RealVectortoDataTypefor theminandmaxvariables, ensuring the correct type is used based on the template parameter.Fixes #285