9211
7680
sklearn.pipeline.Pipeline(SMP=sklearn.impute.SimpleImputer,RBS=sklearn.preprocessing.data.RobustScaler,LGR=sklearn.linear_model.logistic.LogisticRegression)
sklearn.pipeline.Pipeline
1
openml==0.7.0,sklearn==0.20.1
Automatically created scikit-learn flow.
2019-02-22T06:51:56
English
sklearn==0.20.1
numpy>=1.6.1
scipy>=0.9
memory
null
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "SMP", "step_name": "SMP"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "RBS", "step_name": "RBS"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "LGR", "step_name": "LGR"}}]
SMP
8877
287
sklearn.impute.SimpleImputer
sklearn.impute.SimpleImputer
5
openml==0.7.0,sklearn==0.20.1
Automatically created scikit-learn flow.
2018-12-19T15:12:06
English
sklearn==0.20.1
numpy>=1.6.1
scipy>=0.9
copy
true
fill_value
null
missing_values
NaN
strategy
"mean"
verbose
0
openml-python
python
scikit-learn
sklearn
sklearn_0.20.1
LGR
8963
7680
sklearn.linear_model.logistic.LogisticRegression
sklearn.linear_model.logistic.LogisticRegression
20
openml==0.7.0,sklearn==0.20.1
Automatically created scikit-learn flow.
2019-02-14T11:12:55
English
sklearn==0.20.1
numpy>=1.6.1
scipy>=0.9
C
5.0
class_weight
null
dual
false
fit_intercept
true
intercept_scaling
1
max_iter
100
multi_class
"ovr"
n_jobs
-1
penalty
"l1"
random_state
null
solver
"liblinear"
tol
0.0001
verbose
0
warm_start
false
openml-python
python
scikit-learn
sklearn
sklearn_0.20.1
RBS
8977
7680
sklearn.preprocessing.data.RobustScaler
sklearn.preprocessing.data.RobustScaler
5
openml==0.7.0,sklearn==0.20.1
Automatically created scikit-learn flow.
2019-02-14T11:41:04
English
sklearn==0.20.1
numpy>=1.6.1
scipy>=0.9
copy
true
quantile_range
[25.0, 75.0]
with_centering
true
with_scaling
true
openml-python
python
scikit-learn
sklearn
sklearn_0.20.1
openml-python
python
scikit-learn
sklearn
sklearn_0.20.1