How to find what values are assigned to labels that where encoded using LabelEncoder?
$begingroup$
places = ['India','France','India','Australia','Australia','India','India','France']
Here places are the DataFrame Series, now how can I find that which
label was encoded with values like India = 0 , Australia = 1 ,France =
2.
This is ok for few labels what if there are 100's of labels available
in a huge dataset.
machine-learning python scikit-learn
New contributor
$endgroup$
add a comment |
$begingroup$
places = ['India','France','India','Australia','Australia','India','India','France']
Here places are the DataFrame Series, now how can I find that which
label was encoded with values like India = 0 , Australia = 1 ,France =
2.
This is ok for few labels what if there are 100's of labels available
in a huge dataset.
machine-learning python scikit-learn
New contributor
$endgroup$
add a comment |
$begingroup$
places = ['India','France','India','Australia','Australia','India','India','France']
Here places are the DataFrame Series, now how can I find that which
label was encoded with values like India = 0 , Australia = 1 ,France =
2.
This is ok for few labels what if there are 100's of labels available
in a huge dataset.
machine-learning python scikit-learn
New contributor
$endgroup$
places = ['India','France','India','Australia','Australia','India','India','France']
Here places are the DataFrame Series, now how can I find that which
label was encoded with values like India = 0 , Australia = 1 ,France =
2.
This is ok for few labels what if there are 100's of labels available
in a huge dataset.
machine-learning python scikit-learn
machine-learning python scikit-learn
New contributor
New contributor
New contributor
asked 13 hours ago
sk jainmiahsk jainmiah
83
83
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1 Answer
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$begingroup$
Use the classes_
attribute of your LabelEncoder
. For example:
le = preprocessing.LabelEncoder()
le.fit(places)
print(le.classes_)
The index of the label in le.classes_
is the encoded value of the label. See another example here.
New contributor
$endgroup$
add a comment |
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1 Answer
1
active
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1 Answer
1
active
oldest
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active
oldest
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$begingroup$
Use the classes_
attribute of your LabelEncoder
. For example:
le = preprocessing.LabelEncoder()
le.fit(places)
print(le.classes_)
The index of the label in le.classes_
is the encoded value of the label. See another example here.
New contributor
$endgroup$
add a comment |
$begingroup$
Use the classes_
attribute of your LabelEncoder
. For example:
le = preprocessing.LabelEncoder()
le.fit(places)
print(le.classes_)
The index of the label in le.classes_
is the encoded value of the label. See another example here.
New contributor
$endgroup$
add a comment |
$begingroup$
Use the classes_
attribute of your LabelEncoder
. For example:
le = preprocessing.LabelEncoder()
le.fit(places)
print(le.classes_)
The index of the label in le.classes_
is the encoded value of the label. See another example here.
New contributor
$endgroup$
Use the classes_
attribute of your LabelEncoder
. For example:
le = preprocessing.LabelEncoder()
le.fit(places)
print(le.classes_)
The index of the label in le.classes_
is the encoded value of the label. See another example here.
New contributor
New contributor
answered 12 hours ago
WesWes
1065
1065
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sk jainmiah is a new contributor. Be nice, and check out our Code of Conduct.
sk jainmiah is a new contributor. Be nice, and check out our Code of Conduct.
sk jainmiah is a new contributor. Be nice, and check out our Code of Conduct.
sk jainmiah is a new contributor. Be nice, and check out our Code of Conduct.
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