When NumPy reshape shares memory and indexing does not
A reshaped feature array can alias the original data, while integer-array selection makes a copy. Inspect both before mutating a pipeline intermediate.
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A reshaped feature array can alias the original data, while integer-array selection makes a copy. Inspect both before mutating a pipeline intermediate.
A shape-compatible operation can still compare the wrong values. Diagnose a silent pairwise-error bug before it reaches your metrics.
Use a small scaler diagnostic to see whether held-out data is influencing training, then put the boundary inside a scikit-learn pipeline.
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