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.