5768
2514
sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.forest.ExtraTreesClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,n_jobs=xgboost.sklearn.XGBClassifier)
sklearn.ensemble.voting_classifier.VotingClassifier
1
sklearn==0.18.1,xgboost==0.6
Automatically created scikit-learn flow.
2017-03-13T15:16:47
English
sklearn==0.18.1
numpy>=1.6.1
scipy>=0.9
estimators
[{"oml-python:serialized_object": "component_reference", "value": {"key": "estimators", "step_name": "estimators"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "weights", "step_name": "weights"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "n_jobs", "step_name": "n_jobs"}}]
n_jobs
-1
voting
"soft"
weights
null
n_jobs
5521
1936
xgboost.sklearn.XGBClassifier
xgboost.sklearn.XGBClassifier
3
xgboost==0.6
Automatically created sub-component.
2017-02-27T13:22:04
English
sklearn==0.18.1
numpy>=1.6.1
scipy>=0.9
base_score
0.5
colsample_bylevel
1
colsample_bytree
1
gamma
0
learning_rate
0.1
max_delta_step
0
max_depth
3
min_child_weight
1
missing
null
n_estimators
100
nthread
-1
objective
"binary:logistic"
reg_alpha
0
reg_lambda
1
scale_pos_weight
1
seed
0
silent
true
subsample
1
Verified_Supervised_Classification
estimators
5604
2568
sklearn.ensemble.forest.ExtraTreesClassifier
sklearn.ensemble.forest.ExtraTreesClassifier
5
sklearn==0.18.1
Automatically created sub-component.
2017-03-02T23:49:17
English
sklearn==0.18.1
numpy>=1.6.1
scipy>=0.9
bootstrap
false
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
100
n_jobs
-1
oob_score
false
random_state
null
verbose
0
warm_start
false
Verified_Supervised_Classification
weights
5626
2568
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier
3
sklearn==0.18.1
Automatically created sub-component.
2017-03-03T12:47:56
English
sklearn==0.18.1
numpy>=1.6.1
scipy>=0.9
criterion
"friedman_mse"
init
null
learning_rate
0.05
loss
"deviance"
max_depth
6
max_features
null
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
50
presort
"auto"
random_state
null
subsample
0.5
verbose
0
warm_start
false
Verified_Supervised_Classification
Verified_Supervised_Classification