[refactor] Separate errors for unsupported columns as a func

[nabenabe0928]

Just a small refactoring.

[codecov[bot]]

Codecov Report

Merging #400 (c39c7c5) into development (048656e) will decrease coverage by 0.25%. The diff coverage is 80.00%.

@@               Coverage Diff               @@
##           development     #400      +/-   ##
===============================================
- Coverage        84.15%   83.90%   -0.26%     
===============================================
  Files              175      175              
  Lines            10169    10181      +12     
  Branches          1747     1747              
===============================================
- Hits              8558     8542      -16     
- Misses            1112     1139      +27     
- Partials           499      500       +1     

Impacted Files	Coverage Δ
autoPyTorch/data/tabular_feature_validator.py	91.57% <80.00%> (-0.56%)	:arrow_down:
...eline/components/setup/optimizer/base_optimizer.py	80.95% <0.00%> (-19.05%)	:arrow_down:
...abular_preprocessing/base_tabular_preprocessing.py	66.66% <0.00%> (-13.34%)	:arrow_down:
...ne/components/setup/lr_scheduler/base_scheduler.py	93.10% <0.00%> (-6.90%)	:arrow_down:
...feature_preprocessing/SelectRatesClassification.py	89.13% <0.00%> (-6.53%)	:arrow_down:
...up/network_initializer/base_network_initializer.py	93.54% <0.00%> (-6.46%)	:arrow_down:
.../pipeline/components/setup/network/base_network.py	88.05% <0.00%> (-5.98%)	:arrow_down:
...nts/setup/early_preprocessor/EarlyPreprocessing.py	85.71% <0.00%> (-5.72%)	:arrow_down:
...re_preprocessing/SelectPercentileClassification.py	89.47% <0.00%> (-5.27%)	:arrow_down:
...peline/components/training/trainer/MixUpTrainer.py	97.14% <0.00%> (-2.86%)	:arrow_down:
... and 2 more

---

Continue to review full report at Codecov.

Legend - Click here to learn more Δ = absolute <relative> (impact), ø = not affected, ? = missing data Powered by Codecov. Last update 048656e...c39c7c5. Read the comment docs.

[nabenabe0928]

Check

• test/test_pipeline/components/preprocessing/test_feature_preprocessor.py::TestFeaturePreprocessors::test_pipeline_fit_include[Nystroem-classification_numerical_and_categorical]