Parameter Value * memory memory: None * steps "steps: [('pca', PCA(copy=True, iterated_power='auto', n_components=None, random_state=None, svd_solver='auto', tol=0.0, whiten=False)), ('adaboostregressor', AdaBoostRegressor(base_estimator=None, learning_rate=1.0, loss='linear', n_estimators=50, random_state=None))]" @ pca "pca: PCA(copy=True, iterated_power='auto', n_components=None, random_state=None, svd_solver='auto', tol=0.0, whiten=False)" @ adaboostregressor "adaboostregressor: AdaBoostRegressor(base_estimator=None, learning_rate=1.0, loss='linear', n_estimators=50, random_state=None)" @ pca__copy pca__copy: True @ pca__iterated_power pca__iterated_power: 'auto' @ pca__n_components pca__n_components: None @ pca__random_state pca__random_state: None @ pca__svd_solver pca__svd_solver: 'auto' @ pca__tol pca__tol: 0.0 @ pca__whiten pca__whiten: False @ adaboostregressor__base_estimator adaboostregressor__base_estimator: None @ adaboostregressor__learning_rate adaboostregressor__learning_rate: 1.0 @ adaboostregressor__loss adaboostregressor__loss: 'linear' @ adaboostregressor__n_estimators adaboostregressor__n_estimators: 50 @ adaboostregressor__random_state adaboostregressor__random_state: None Note: @, searchable params in searchcv too.