automl / auto-sklearn

Automated Machine Learning with scikit-learn
https://automl.github.io/auto-sklearn
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SGD configuration gives error `test_pipeline/test_classification` - `test_configurations_sparse` #1336

Closed eddiebergman closed 2 years ago

eddiebergman commented 2 years ago

Another configuration to check out on test_pipeline/test_classification::test_configurations_sparse`

Failing test

Config:

Configuration:
  balancing:strategy, Value: 'weighting'
  classifier:__choice__, Value: 'sgd'
  classifier:sgd:alpha, Value: 7.27693595714389e-05
  classifier:sgd:average, Value: 'False'
  classifier:sgd:eta0, Value: 0.013654826040547558
  classifier:sgd:fit_intercept, Constant: 'True'
  classifier:sgd:learning_rate, Value: 'invscaling'
  classifier:sgd:loss, Value: 'log'
  classifier:sgd:penalty, Value: 'l1'
  classifier:sgd:power_t, Value: 0.5468767593727824
  classifier:sgd:tol, Value: 8.162675288740052e-05
  data_preprocessor:__choice__, Value: 'feature_type'
  data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__, Value: 'encoding'
  data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__, Value: 'no_coalescense'
  data_preprocessor:feature_type:numerical_transformer:imputation:strategy, Value: 'mean'
  data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__, Value: 'quantile_transformer'
  data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles, Value: 467
  data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution, Value: 'normal'
  feature_preprocessor:__choice__, Value: 'kernel_pca'
  feature_preprocessor:kernel_pca:gamma, Value: 6.985386846337043
  feature_preprocessor:kernel_pca:kernel, Value: 'rbf'
  feature_preprocessor:kernel_pca:n_components, Value: 10
eddiebergman commented 2 years ago

Closed, documented in #1337