Parameter	Value
*	memory	memory: None
*	steps	"steps: [('robustscaler', RobustScaler(copy=True, quantile_range=(25.0, 75.0), with_centering=True,
       with_scaling=True)), ('lassocv', LassoCV(alphas=None, copy_X=True, cv='warn', eps=0.001, fit_intercept=True,
    max_iter=1000, n_alphas=100, n_jobs=1, normalize=False, positive=False,
    precompute='auto', random_state=None, selection='cyclic', tol=0.0001,
    verbose=False))]"
@	robustscaler	"robustscaler: RobustScaler(copy=True, quantile_range=(25.0, 75.0), with_centering=True,
       with_scaling=True)"
@	lassocv	"lassocv: LassoCV(alphas=None, copy_X=True, cv='warn', eps=0.001, fit_intercept=True,
    max_iter=1000, n_alphas=100, n_jobs=1, normalize=False, positive=False,
    precompute='auto', random_state=None, selection='cyclic', tol=0.0001,
    verbose=False)"
@	robustscaler__copy	robustscaler__copy: True
@	robustscaler__quantile_range	robustscaler__quantile_range: (25.0, 75.0)
@	robustscaler__with_centering	robustscaler__with_centering: True
@	robustscaler__with_scaling	robustscaler__with_scaling: True
@	lassocv__alphas	lassocv__alphas: None
@	lassocv__copy_X	lassocv__copy_X: True
@	lassocv__cv	lassocv__cv: 'warn'
@	lassocv__eps	lassocv__eps: 0.001
@	lassocv__fit_intercept	lassocv__fit_intercept: True
@	lassocv__max_iter	lassocv__max_iter: 1000
@	lassocv__n_alphas	lassocv__n_alphas: 100
*	lassocv__n_jobs	lassocv__n_jobs: 1
@	lassocv__normalize	lassocv__normalize: False
@	lassocv__positive	lassocv__positive: False
@	lassocv__precompute	lassocv__precompute: 'auto'
@	lassocv__random_state	lassocv__random_state: None
@	lassocv__selection	lassocv__selection: 'cyclic'
@	lassocv__tol	lassocv__tol: 0.0001
*	lassocv__verbose	lassocv__verbose: False
	Note:	@, searchable params in searchcv too.