Add the detailed info for parameter 'verbose' (#1435)

* explain-verbose-parameter

* concise-verbose-docstring

* explain-verbose-parameter

* explain-verbose-parameter

* test-ignore

* test-ignore

* sklearn-version-califonia

* submit-0526

---------

Co-authored-by: Runlin Mu (FESCO Adecco Human Resources) <v-runlinmu@microsoft.com>
Co-authored-by: Li Jiang <bnujli@gmail.com>
This commit is contained in:
murunlin
2025-05-27 10:01:01 +08:00
committed by GitHub
parent c2b25310fc
commit 12183e5f73

View File

@@ -192,6 +192,12 @@ class AutoML(BaseEstimator):
Only valid for sequential search.
verbose: int, default=3 | Controls the verbosity, higher means more
messages.
verbose=0: logger level = CRITICAL
verbose=1: logger level = ERROR
verbose=2: logger level = WARNING
verbose=3: logger level = INFO
verbose=4: logger level = DEBUG
verbose>5: logger level = NOTSET
retrain_full: bool or str, default=True | whether to retrain the
selected model on the full training data when using holdout.
True - retrain only after search finishes; False - no retraining;
@@ -1350,6 +1356,12 @@ class AutoML(BaseEstimator):
for training data.
verbose: int, default=3 | Controls the verbosity, higher means more
messages.
verbose=0: logger level = CRITICAL
verbose=1: logger level = ERROR
verbose=2: logger level = WARNING
verbose=3: logger level = INFO
verbose=4: logger level = DEBUG
verbose>5: logger level = NOTSET
retrain_full: bool or str, default=True | whether to retrain the
selected model on the full training data when using holdout.
True - retrain only after search finishes; False - no retraining;