fix: improve progressbar docstrings

MMenchero · Oct 25, 2022 · c2e915c · c2e915c
1 parent c0e9b1f
commit c2e915c
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Showing 2 changed files with 2 additions and 2 deletions.
diff --git a/nbs/core.ipynb b/nbs/core.ipynb
@@ -826,7 +826,7 @@
     "        `n_jobs`: int, number of jobs used in the parallel processing, use -1 for all cores.<br>\n",
     "        `sort_df`: bool, if True, sort `df` by [`unique_id`,`ds`].<br>\n",
     "        `fallback_model`: Any, Model to be used if a model fails. Only works with the `forecast` method.<br>\n",
-    "        `verbose`: bool, Whether print progress bar. Only used when `n_jobs=1`.<br>\n",
+    "        `verbose`: bool, Prints TQDM progress bar when `n_jobs=1`.<br>\n",
     "\n",
     "        **Notes:**<br>\n",
     "        The `core.StatsForecast` class offers parallelization utilities with Dask, Spark and Ray back-ends.<br>\n",

diff --git a/statsforecast/core.py b/statsforecast/core.py
@@ -346,7 +346,7 @@ def __init__(
         `n_jobs`: int, number of jobs used in the parallel processing, use -1 for all cores.<br>
         `sort_df`: bool, if True, sort `df` by [`unique_id`,`ds`].<br>
         `fallback_model`: Any, Model to be used if a model fails. Only works with the `forecast` method.<br>
-        `verbose`: bool, Whether print progress bar. Only used when `n_jobs=1`.<br>
+        `verbose`: bool, Prints TQDM progress bar when `n_jobs=1`.<br>
 
         **Notes:**<br>
         The `core.StatsForecast` class offers parallelization utilities with Dask, Spark and Ray back-ends.<br>