43
5914
steps
[('imputer', Imputer(axis=0, copy=True, missing_values='NaN', strategy='median', verbose=0)), ('kernelpca', KernelPCA(alpha=1.0, coef0=1, copy_X=True, degree=3, eigen_solver='auto',
fit_inverse_transform=False, gamma=None, kernel='rbf',
kernel_params=None, max_iter=None, n_components=None, n_jobs=-1,
random_state=None, remove_zero_eig=False, tol=0)), ('randomforestclassifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
max_depth=None, max_features='auto', max_leaf_nodes=None,
min_impurity_split=1e-07, min_samples_leaf=1,
min_samples_split=2, min_weight_fraction_leaf=0.0,
n_estimators=500, n_jobs=-1, oob_score=False,
random_state=None, verbose=0, warm_start=False))]
5914
axis
0
5508
copy
True
5508
missing_values
NaN
5508
strategy
median
5508
verbose
0
5508
alpha
1.0
5915
coef0
1
5915
copy_X
True
5915
degree
3
5915
eigen_solver
auto
5915
fit_inverse_transform
False
5915
gamma
None
5915
kernel
rbf
5915
kernel_params
None
5915
max_iter
None
5915
n_components
None
5915
n_jobs
-1
5915
random_state
None
5915
remove_zero_eig
False
5915
tol
0
5915
bootstrap
True
5500
class_weight
None
5500
criterion
gini
5500
max_depth
None
5500
max_features
auto
5500
max_leaf_nodes
None
5500
min_impurity_split
1e-07
5500
min_samples_leaf
1
5500
min_samples_split
2
5500
min_weight_fraction_leaf
0.0
5500
n_estimators
500
5500
n_jobs
-1
5500
oob_score
False
5500
random_state
None
5500
verbose
0
5500
warm_start
False
5500
Python_3.6.0.
Sklearn_0.18.1.
NumPy_1.11.3.
SciPy_0.19.0.
Wed_Mar_29_04.03.25_2017
run_task
sklearn.pipeline.Pipeline