8834
6892
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)
sklearn.pipeline.Pipeline
1
openml==0.8.0dev,sklearn==0.20.1
Automatically created scikit-learn flow.
2018-12-06T22:25:42
English
sklearn==0.20.1
numpy>=1.6.1
scipy>=0.9
memory
null
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "variancethreshold", "step_name": "variancethreshold"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}]
columntransformer
8835
6892
sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder))
sklearn.compose._column_transformer.ColumnTransformer
2
openml==0.8.0dev,sklearn==0.20.1
Automatically created scikit-learn flow.
2018-12-06T22:25:42
English
sklearn==0.20.1
numpy>=1.6.1
scipy>=0.9
n_jobs
null
remainder
"passthrough"
sparse_threshold
0.3
transformer_weights
null
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "numeric", "step_name": "numeric", "argument_1": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": []}}]
numeric
8836
6892
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler)
sklearn.pipeline.Pipeline
2
openml==0.8.0dev,sklearn==0.20.1
Automatically created scikit-learn flow.
2018-12-06T22:25:42
English
sklearn==0.20.1
numpy>=1.6.1
scipy>=0.9
memory
null
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}]
imputer
8837
6892
sklearn.preprocessing.imputation.Imputer
sklearn.preprocessing.imputation.Imputer
31
openml==0.8.0dev,sklearn==0.20.1
Automatically created scikit-learn flow.
2018-12-06T22:25:42
English
sklearn==0.20.1
numpy>=1.6.1
scipy>=0.9
axis
0
copy
true
missing_values
"NaN"
strategy
"median"
verbose
0
openml-python
python
scikit-learn
sklearn
sklearn_0.20.1
standardscaler
8838
6892
sklearn.preprocessing.data.StandardScaler
sklearn.preprocessing.data.StandardScaler
17
openml==0.8.0dev,sklearn==0.20.1
Automatically created scikit-learn flow.
2018-12-06T22:25:42
English
sklearn==0.20.1
numpy>=1.6.1
scipy>=0.9
copy
true
with_mean
true
with_std
true
openml-python
python
scikit-learn
sklearn
sklearn_0.20.1
openml-python
python
scikit-learn
sklearn
sklearn_0.20.1
nominal
8839
6892
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)
sklearn.pipeline.Pipeline
2
openml==0.8.0dev,sklearn==0.20.1
Automatically created scikit-learn flow.
2018-12-06T22:25:42
English
sklearn==0.20.1
numpy>=1.6.1
scipy>=0.9
memory
null
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}]
simpleimputer
8840
6892
sklearn.impute.SimpleImputer
sklearn.impute.SimpleImputer
2
openml==0.8.0dev,sklearn==0.20.1
Automatically created scikit-learn flow.
2018-12-06T22:25:42
English
sklearn==0.20.1
numpy>=1.6.1
scipy>=0.9
copy
true
fill_value
-1
missing_values
NaN
strategy
"constant"
verbose
0
openml-python
python
scikit-learn
sklearn
sklearn_0.20.1
onehotencoder
8841
6892
sklearn.preprocessing._encoders.OneHotEncoder
sklearn.preprocessing._encoders.OneHotEncoder
5
openml==0.8.0dev,sklearn==0.20.1
Automatically created scikit-learn flow.
2018-12-06T22:25:42
English
sklearn==0.20.1
numpy>=1.6.1
scipy>=0.9
categorical_features
null
categories
null
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
handle_unknown
"ignore"
n_values
null
sparse
true
openml-python
python
scikit-learn
sklearn
sklearn_0.20.1
openml-python
python
scikit-learn
sklearn
sklearn_0.20.1
openml-python
python
scikit-learn
sklearn
sklearn_0.20.1
variancethreshold
8842
6892
sklearn.feature_selection.variance_threshold.VarianceThreshold
sklearn.feature_selection.variance_threshold.VarianceThreshold
19
openml==0.8.0dev,sklearn==0.20.1
Automatically created scikit-learn flow.
2018-12-06T22:25:42
English
sklearn==0.20.1
numpy>=1.6.1
scipy>=0.9
threshold
0.0
openml-python
python
scikit-learn
sklearn
sklearn_0.20.1
gradientboostingclassifier
8843
6892
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier
15
openml==0.8.0dev,sklearn==0.20.1
Automatically created scikit-learn flow.
2018-12-06T22:25:42
English
sklearn==0.20.1
numpy>=1.6.1
scipy>=0.9
criterion
"friedman_mse"
init
null
learning_rate
1.5365532905902155
loss
"deviance"
max_depth
4
max_features
0.07464595595341839
max_leaf_nodes
null
min_impurity_decrease
0.45756186103317664
min_impurity_split
null
min_samples_leaf
3
min_samples_split
14
min_weight_fraction_leaf
0.22136727517792237
n_estimators
94
n_iter_no_change
103
presort
"auto"
random_state
null
subsample
0.6269334793098206
tol
0.05642873034084502
validation_fraction
0.7044437810275812
verbose
0
warm_start
false
openml-python
python
scikit-learn
sklearn
sklearn_0.20.1
openml-python
python
scikit-learn
sklearn
sklearn_0.20.1