fix(model): use in instead of == for metric comparison in HIST and IGMTF

[warren618]

Summary

Fixes #2163

metric_fn() in pytorch_hist.py and pytorch_igmtf.py compares self.metric against the tuple ("", "loss") using ==. Since self.metric is always a string, this condition is never true, causing ValueError("unknown metric") on the default metric path.

All other models (ALSTM, GRU, LSTM, ALSTM_TS) correctly use in ("", "loss").

Changes

• qlib/contrib/model/pytorch_hist.py: == → in (line 173)
• qlib/contrib/model/pytorch_igmtf.py: == → in (line 166)

Before / After

# Before (broken): string == tuple is always False
if self.metric == ("", "loss"):

# After (correct): matches when metric is "" or "loss"
if self.metric in ("", "loss"):

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[warren618]

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