5797
2507
sklearn.pipeline.Pipeline(steps__preprocessing=sklearn.preprocessing.imputation.Imputer,steps__OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,steps__Classifier=sklearn.ensemble.forest.RandomForestClassifier)
sklearn.pipeline.Pipeline
1
sklearn==0.18.1
Automatically created sub-component.
2017-03-15T18:33:40
English
sklearn==0.18.1
numpy>=1.6.1
scipy>=0.9
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "steps__preprocessing", "step_name": "preprocessing"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "steps__OneHotEncoder", "step_name": "OneHotEncoder"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "steps__Classifier", "step_name": "Classifier"}}]
steps__Classifier
5500
762
sklearn.ensemble.forest.RandomForestClassifier
sklearn.ensemble.forest.RandomForestClassifier
16
sklearn==0.18.1
Automatically created sub-component.
2017-02-23T15:33:12
English
sklearn==0.18.1
numpy>=1.6.1
scipy>=0.9
bootstrap
true
class_weight
null
criterion
"gini"
max_depth
null
max_features
"auto"
max_leaf_nodes
null
min_impurity_split
1e-07
min_samples_leaf
1
min_samples_split
2
min_weight_fraction_leaf
0.0
n_estimators
10
n_jobs
1
oob_score
false
random_state
null
verbose
0
warm_start
false
study_73
Verified_Learning_Curve,Verified_Supervised_Classification
steps__preprocessing
5508
1104
sklearn.preprocessing.imputation.Imputer
sklearn.preprocessing.imputation.Imputer
3
sklearn==0.18.1
Automatically created sub-component.
2017-02-26T02:53:11
English
sklearn==0.18.1
numpy>=1.6.1
scipy>=0.9
axis
0
copy
true
missing_values
"NaN"
strategy
"median"
verbose
0
steps__OneHotEncoder
5509
1104
sklearn.preprocessing.data.OneHotEncoder
sklearn.preprocessing.data.OneHotEncoder
3
sklearn==0.18.1
Automatically created sub-component.
2017-02-26T02:53:11
English
sklearn==0.18.1
numpy>=1.6.1
scipy>=0.9
categorical_features
[false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false]
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
handle_unknown
"ignore"
n_values
"auto"
sparse
false