16374
8323
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,columntransformer=sklearn.compose._column_transformer.ColumnTransformer(num=sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler),cat=sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),svc=sklearn.svm.classes.SVC)
sklearn.pipeline.Pipeline
2
openml==0.9.0,sklearn==0.21.2
Automatically created scikit-learn flow.
2019-08-25T01:25:34
English
sklearn==0.21.2
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": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
verbose
false
simpleimputer
12737
8323
sklearn.impute._base.SimpleImputer
sklearn.impute._base.SimpleImputer
1
openml==0.9.0,sklearn==0.21.2
Automatically created scikit-learn flow.
2019-06-16T02:10:20
English
sklearn==0.21.2
numpy>=1.6.1
scipy>=0.9
add_indicator
false
copy
true
fill_value
null
missing_values
NaN
strategy
"most_frequent"
verbose
0
openml-python
python
scikit-learn
sklearn
sklearn_0.21.2
svc
13389
9161
sklearn.svm.classes.SVC
sklearn.svm.classes.SVC
31
openml==0.9.0,sklearn==0.21.2
Automatically created scikit-learn flow.
2019-07-10T13:30:35
English
sklearn==0.21.2
numpy>=1.6.1
scipy>=0.9
C
1.0
cache_size
200
class_weight
null
coef0
0.0
decision_function_shape
"ovr"
degree
3
gamma
"auto_deprecated"
kernel
"rbf"
max_iter
-1
probability
false
random_state
null
shrinking
true
tol
0.001
verbose
false
openml-python
python
scikit-learn
sklearn
sklearn_0.21.2
columntransformer
16375
8323
sklearn.compose._column_transformer.ColumnTransformer(num=sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler),cat=sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder))
sklearn.compose._column_transformer.ColumnTransformer
2
openml==0.9.0,sklearn==0.21.2
Automatically created scikit-learn flow.
2019-08-25T01:25:34
English
sklearn==0.21.2
numpy>=1.6.1
scipy>=0.9
n_jobs
null
remainder
"drop"
sparse_threshold
0.3
transformer_weights
null
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "num", "step_name": "num", "argument_1": [true, false, true, true, true, true, true, true, true, true]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [false, true, false, false, false, false, false, false, false, false]}}]
verbose
false
num
16376
8323
sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler)
sklearn.pipeline.Pipeline
2
openml==0.9.0,sklearn==0.21.2
Automatically created scikit-learn flow.
2019-08-25T01:25:34
English
sklearn==0.21.2
numpy>=1.6.1
scipy>=0.9
memory
null
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}]
verbose
false
standardscaler
13294
8323
sklearn.preprocessing.data.StandardScaler
sklearn.preprocessing.data.StandardScaler
29
openml==0.9.0,sklearn==0.21.2
Automatically created scikit-learn flow.
2019-07-05T18:47:45
English
sklearn==0.21.2
numpy>=1.6.1
scipy>=0.9
copy
true
with_mean
true
with_std
true
openml-python
python
scikit-learn
sklearn
sklearn_0.21.2
openml-python
python
scikit-learn
sklearn
sklearn_0.21.2
cat
16377
8323
sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)
sklearn.pipeline.Pipeline
2
openml==0.9.0,sklearn==0.21.2
Automatically created scikit-learn flow.
2019-08-25T01:25:34
English
sklearn==0.21.2
numpy>=1.6.1
scipy>=0.9
memory
null
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}]
verbose
false
onehotencoder
16348
8323
sklearn.preprocessing._encoders.OneHotEncoder
sklearn.OneHotEncoder
sklearn.preprocessing._encoders.OneHotEncoder
11
openml==0.9.0,sklearn==0.21.2
Automatically created scikit-learn flow.
2019-08-17T16:23:43
English
sklearn==0.21.2
numpy>=1.6.1
scipy>=0.9
categorical_features
null
categories
null
drop
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_0.21.2
openml-python
python
scikit-learn
sklearn
sklearn_0.21.2
openml-python
python
scikit-learn
sklearn
sklearn_0.21.2
openml-python
python
scikit-learn
sklearn
sklearn_0.21.2