[BUG] eval_results_table 会丢弃具有非默认输入索引的序列预测

mlflow.models.evaluate can compute row-level metric values correctly but log None predictions in eval_results_table when evaluation data has a non-default pandas index and a callable model returns a Series with the normal RangeIndex.

The table assignment aligns the Series by label, while the metric path consumes predictions by position. Partially overlapping or reversed labels can therefore attach predictions to the wrong rows instead of making them null.