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Questions tagged [label-encoding]

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.

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How to dump Label Encoder values for multiple columns in a dataframe

As you can see, I have a preprocessing function here and doing some converting operations. I have some categorical variables and I defined them as categorical_cols, and using LabelEncoder for them. My mission is, saving the LabelEncoder for later…
Zyxnon
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Feature Engineering in Python

How do I know when to apply LabelEncoder() or OneHotEncoder()? I have used LabelEncoder to encode categorical variable for RandomForestRegressor model and it gives a extremely high mean squared error. I have tried hyperparameter tuning with…
Kugan
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How to I use the existing ML model to predict for new data value?

I have built a machine learning model using 34 features. Now I want to check how well the model predicts the new data value. However, initially there were 26 features but one-hot and label encoding made it upto 34 features. So if I give an input…
Siddharth Nigade
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how to inverse label encoding in python

im working on a data set and i do label encoding for cat features and i tried to do the inverse now but an error appears like this ----> 1 original_labels = labelencoder.inverse_transform(df['model']) 2 3 # create a new DataFrame with…
kim seol
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Is there any function to append values after onehotencoding to x and y values?

I am working on forest fire data and my task is to predict the fires based on some features. I've done the encoding part and still could not use numeric data to use in my algorithm as its showing" could not convert string to float: 'nov' " when i…
Harshitha
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Laeble encoding pandas dataframe, same label for same value

Here is a snippet of my df: 0 1 2 3 4 5 ... 11 12 13 14 15 16 0 BSO PRV BSI TUR WSP ACP ... HLR HEX HEX None None None 1 BSO PRV BSI TUR WSP ACP ... HLF HLR HEX HEX HEX…
Tony Sirico
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How to apply label encoding by orange3 data mining tool

How to apply label encoding method to my dataset. I have learnt how to use one-hot encoding (https://www.youtube.com/watch?v=fxScLSmQ8rQ) but it doesn't fit for my dataset, my categorical features has more than 10k classes, so I decided to apply…
Thæ
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How to get predict from string data in sklearn

When I convert data from a pandas dataframe to sklearn so I can make predictions. String data becomes problematic. So I used labelencoder but it seems to limit me to using the encoded data instead of the source string data. in predict method of…
M.Namjoo
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Rank does not go in order if the value does not change

I have a dataframe: data = [['p1', 't1'], ['p4', 't2'], ['p2', 't1'],['p4', 't3'], ['p4', 't3'], ['p3', 't1'],] sdf = spark.createDataFrame(data, schema = ['id', 'text']) sdf.show() +---+----+ | id|text| +---+----+ | p1| t1| | p4| …
Rory
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Reordering categorical variables using a specified ordering?

I have a X_train dataframe. One of the columns locale has the unique values: ['Regional', 'Local', 'National']. I am trying to make this column into an Ordered Categorical variable, with the correct order being from smallest to largest: ['Local',…
Katsu
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I can't make my array of float a dataframe. ValueError: Shape of passed values is

I have a data and i am making a machine learning project. So firstly in my data, there are some informations like "sex,marriage,education". So i have to apply them "OneHotEncoder or LabelEncoder". For LabelEncoder there is no any problem. But when i…
metkopetru
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How to do label encoding and one hot encoding in linux

Label one hot encoding (https://i.stack.imgur.com/nPxR7.jpg) Label encoding (https://i.stack.imgur.com/JLaeh.jpg) Data set (https://i.stack.imgur.com/CLKZY.jpg) What’s the code that can i do that on it
ODAY LOUY
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How to order values when label-encoding?

I want to label-encode a column called article_id which has unique identifiers for an article. Integer values kind of implicitly have an order to them, because 3 > 2 > 1. I wonder what is the most reasonable way to sort the values before factorizing…
christallclear
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how to use LabelEncoder in pipeline? i get an error repeatedly

i don't know how to use LabelEncoder in pipeline! i repeatedly get an error OK! this is my code: import pandas as pd import numpy as np from sklearn.model_selection import train_test_split bank = pd.read_csv('bankmarketing.csv') bank.columns =…
online user
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Getting a ValueError after running the LabelEncoder command

I'm working on a ML webapp and am training data from a CSV file. When converting the data array to float the ValueError appears CODE X[:, 0] = le_country.transform(X[:,0]) X[:, 1] = le_education.transform(X[:,1]) X = X.astype(float) X ERROR During…
birbhambra
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