annotate test-data/get_params01.tabular @ 10:64bbfa592868 draft

"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 208a8d348e7c7a182cfbe1b6f17868146428a7e2"

	Parameter	Value
*	memory	memory: None
*	steps	"steps: [('robustscaler', RobustScaler(copy=True, quantile_range=(25.0, 75.0), with_centering=True,
       with_scaling=True)), ('selectkbest', SelectKBest(k=10, score_func=<function f_classif at 0x111ef0158>)), ('svr', SVR(C=1.0, cache_size=200, coef0=0.0, degree=3, epsilon=0.1,
  gamma='auto_deprecated', kernel='linear', max_iter=-1, shrinking=True,
  tol=0.001, verbose=False))]"
@	robustscaler	"robustscaler: RobustScaler(copy=True, quantile_range=(25.0, 75.0), with_centering=True,
       with_scaling=True)"
@	selectkbest	selectkbest: SelectKBest(k=10, score_func=<function f_classif at 0x111ef0158>)
@	svr	"svr: SVR(C=1.0, cache_size=200, coef0=0.0, degree=3, epsilon=0.1,
  gamma='auto_deprecated', kernel='linear', max_iter=-1, shrinking=True,
  tol=0.001, 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
@	selectkbest__k	selectkbest__k: 10
@	selectkbest__score_func	selectkbest__score_func: <function f_classif at 0x111ef0158>
@	svr__C	svr__C: 1.0
@	svr__cache_size	svr__cache_size: 200
@	svr__coef0	svr__coef0: 0.0
@	svr__degree	svr__degree: 3
@	svr__epsilon	svr__epsilon: 0.1
@	svr__gamma	svr__gamma: 'auto_deprecated'
@	svr__kernel	svr__kernel: 'linear'
@	svr__max_iter	svr__max_iter: -1
@	svr__shrinking	svr__shrinking: True
@	svr__tol	svr__tol: 0.001
*	svr__verbose	svr__verbose: False
	Note:	@, searchable params in searchcv too.