Jupyter 实验室未打印 sklearn 模型的所有参数 [英] Jupyter lab is not printing all parameters form sklearn model
本文介绍了Jupyter 实验室未打印 sklearn 模型的所有参数的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我已经使用 jupyter 实验室几个月了,每次运行 sklearn 模型时,输出都是这样的:
I've been using jupyter lab for several month and every time I run a sklearn model the output is like this:
from sklearn.tree import DecisionTreeClassifier
clf = DecisionTreeClassifier(criterion="entropy", max_depth = 4)
clf
过去显示此输出:
DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
max_depth=4, max_features=None, max_leaf_nodes=None,
min_impurity_decrease=0.0, min_impurity_split=None,
min_samples_leaf=1, min_samples_split=2,
min_weight_fraction_leaf=0.0, presort='deprecated',
random_state=None, splitter='best')
但现在它只显示我实际设置的参数:
But now it only shows the params that I have actually set:
DecisionTreeClassifier(criterion='entropy', max_depth=4)
有谁知道如何让 Jupyter 再次显示完整的参数列表?
Anyone knows how to make Jupyter show the complete list of params again?
推荐答案
它是 0.23 版本中名为 print_only_changed
的新功能.所以不要向下滚动到以前的版本,只需将 print_only_changed
选项设置为 False
.
It is the new feature called print_only_changed
in the version 0.23. So don't roll down to previous version, just set the print_only_changed
option as False
.
from sklearn import set_config
from sklearn.tree import DecisionTreeClassifier
clf = DecisionTreeClassifier(criterion="entropy", max_depth = 4)
set_config(print_changed_only=True)
clf
# DecisionTreeClassifier(criterion='entropy', max_depth=4)
set_config(print_changed_only=False)
clf
# DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='entropy',
# max_depth=4, max_features=None, max_leaf_nodes=None,
# min_impurity_decrease=0.0, min_impurity_split=None,
# min_samples_leaf=1, min_samples_split=2,
# min_weight_fraction_leaf=0.0, presort='deprecated',
# random_state=None, splitter='best')
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