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I tried the eval quick start, https://docs.arize.com/phoenix/evaluation/evals,
but I used our company's self-hosted llama3.1-70b-instruct model. I ran the following code to get the evaluation resu…
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When your dataset contains purely nulls in the _first_ column the `skim()` method throws the Unbound LocalError.
I think this is very relevant if you download a sample from a database, and by chan…
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See below:
```
#3 0x00007ffff7c4526e in __GI_raise (sig=11) at ../sysdeps/posix/raise.c:26
#4 0x00005555561da46e in absl::lts_20240116::AbslFailureSignalHandler(int, siginfo_t*, void*) ()
#5 …
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after updating to the latest version of pandrator, dependencies are missing
[INFO] XTTS Training: ModuleNotFoundError: No module named 'df'
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df = pd.DataFrame(['GroupA'] * 5 + ['GroupB'] * 5, columns=['AB'])
df['CD'] = ['C'] * 3 + ['D'] * 3 + ['G'] * 4
df['EF'] = ['E'] * 6 + ['F'] * 2 + ['H'] * 2
df['F'] = np.random.normal(0, 1, 10…
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I was thinking that `read_csv_lazy()` and `read_parquet_lazy()` might more clearly convey their usage.
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In the current implementation, the `__call__` method of `nemo_curator/modules/fuzzy_dedup.py`, it assumes that at least one LSH duplicate will be found, and the results will be saved as a parquet file…