Label Encoding refers to converting categorical labels in a data set used for machine learning purposes, into numeric form. Machine learning algorithms can then decide in a better way on how those labels must be operated. It is an important pre-processing step for a structured data set in supervised learning.
Questions tagged [label-encoding]
119 questions
0
votes
1 answer
Sklearn Label Encoder - Not getting desired output based on prediction and inverse transform
I'm new to the Python ML using scikit. I was working on a solution to create a model with three columns Pets, Owner and location.
import pandas
import joblib
from sklearn.tree import DecisionTreeClassifier
from collections import defaultdict
from…
ItsMeGokul
- 403
- 1
- 5
- 16
0
votes
3 answers
How to get true labels from LabelEncoder
I have the below code snippet:
df = pd.read_csv("data.csv")
X = df.drop(['label'], axis=1)
Y= df['label']
le = LabelEncoder()
Y = le.fit_transform(Y)
mapping = dict(zip(le.classes_, range(len(le.classes_))))
x_train, x_test, y_train, y_test =…
chas
- 1,565
- 5
- 26
- 54
0
votes
1 answer
Self Define in LabelEncoder
Trying to encode data in a csv file. TA in class recommend LabelEncoder in sklearn. There's one column names education_level. And I need to encode it in "High, Medium, Low" order. But the LabelEncoder.fit_transform use ASCII code as default, which…
0
votes
1 answer
Is there any way to know that which categorical value has been given what label?
I am working with this data containing a categorical column which has "Good","Medium","Bad", now I wish to know which number has been assigned to which category, i.e. is medium assigned 1 or 2?
Diksha Nasa
- 135
- 3
- 13
0
votes
1 answer
How can allocate statistic frequency to records/rows of dataframe in PySpark without using .toPandas() hackPySpark?
I'm a newbie in PySpark, and I want to translate the preprocessing including encoding and normalizing part scripts which are pythonic, into PySpark for synthetic data. (Columns A & C are categorical) At first, I have Spark data frame so-called sdf …
Mario
- 1,631
- 2
- 21
- 51
0
votes
2 answers
TypeError while using label encoder
I am using the Beers dataset in which I want to encode the data with datatype 'object'.
Following is my code.
from sklearn import preprocessing
df3 = BeerDF.select_dtypes(include=['object']).copy()
label_encoder = preprocessing.LabelEncoder()
df3…
RasK
- 51
- 6
0
votes
0 answers
Why text classification example of fastText did not apply LabelEncoder on label
I new to fastText, and had read the tutorials: https://fasttext.cc/docs/en/supervised-tutorial.html.
I had download the sample data, and found that the label is string type.
$ head cooking.stackexchange.txt
…
Jack Tang
- 59
- 5
0
votes
1 answer
Label Encoder - Use of Inverse_transform function
I'm trying to figure it out how to use the inverse_transform function from LabelEncoder(). For example, in the below code,
from sklearn.preprocessing import LabelEncoder
le = LabelEncoder()
df['Label'] = le.fit_transform(df[['Actual']]
If i want to…
bellotto
- 445
- 3
- 13
0
votes
1 answer
How does Label Encoder assigns the same number?
I have the column in my data frame
city
London
Paris
New York
.
.
I am label encoding the column and it assigns the 0 to London , 1 to Paris and 2 to New York . But when I pass single value for predictions from model I gives city name New York…
Hamza
- 530
- 5
- 27
0
votes
0 answers
Issue TypeError: argument must be a string or number
There is only one categorical column and I want to encode it, it is working fine on notebook but when it is being uploaded to aicrowd platform it is creating this trouble.
There are totally 3 categorical features where one is the target feature, one…
Hemanth Harikrishnan
- 37
- 5
0
votes
1 answer
Is it possible to apply sklearn.preprocessing.LabelEncoder() on a 2D list?
Say I have a list as given below:
l = [
['PER', 'O', 'O', 'GEO'],
['ORG', 'O', 'O', 'O'],
['O', 'O', 'O', 'GEO'],
['O', 'O', 'PER', 'O']
]
I want to encode the 2D list with LabelEncoder().
It should look something…
thenocturnalguy
- 312
- 3
- 12
0
votes
2 answers
Getting to know which value corresponds to a particular column value
I wish to find the exact value of the index for an input defined value of key in a dataframe, below is the code I am trying to do to get it.
data_who = pd.DataFrame({'index':data['index'],
'Publisher_Key':data['Key']})
Below is my O/P dataframe:
If…
Rohan Jacob
- 29
- 5
0
votes
1 answer
y contains previously unseen labels: 'Male' in Label encoder
I am trying to convert the categorical column of my dataset into numerical using LabelEncoder.
dataset
Here is the conversion code:
for i in cat_columns:
df[i]=encoder.fit_transform(df[i])
After conversion dataset looks like dataset after…
imtinan
- 15
- 5
0
votes
1 answer
Using the label-encoding function with Pandas(df.apply) and dimensional problem Python
I'm using a function that encodes the label as encode_labels on train.csv for `Make columuns.
train.csv as follows:
Make,Model,Year,Engine Fuel Type,Engine HP,Engine Cylinders,Transmission Type,Driven_Wheels,Number of Doors,Market Category,Vehicle…
gezgine
- 37
- 1
- 8
0
votes
2 answers
How to exclude one or two columns from label encoding in pandas?
The code is given below. I want to exclude two columns name 'Card Type' and 'Risk Value' from the label encoding code. How to exclude those? The below code encodes all object types into numerical.
The columns are Alert number Job, Loan, City, Date,…
user13510399