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
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online learning for label encoder and random forest classifier
I have a very large dataset that needs to be used for classification, I sampled the data, but that does not guarantee that I will have the whole labels in my output. How can I sample my data to cover all labels?
Also, I wanted to save the label…
Mee
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raise ValueError("Input contains NaN") ValueError: Input contains NaN when trying to build machine learning model
I am trying to build a prediction model but currently keep getting an error: raise ValueError("Input contains NaN") ValueError: Input contains NaN. I tried to use np.any(np.isnan(dataframe)) and np.any(np.isnan(dataframe)), but I just keep getting…
J. Doe
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how to get the labelencoder for new data in Decision Tree
I'm performing the Decision Tree with the help of below sample data.
So I've converted the above data to LabelEncoder to perform Decision Tree and successfully created a DT model.
So now my requirement is I would like to predict on the below…
Vikas
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label encoding for the entire datafarame using sklearn LabelEncoder()
I want to predict sequences using Sequential model of Keras. My dataframe contains string data, so that I decided to use LabelEncoder from sklearn library to encode the string data.
I tried this code snippet:
import pandas as pd
df =…
Nili
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reverse function for label encoder resulted class
I have used the label encoder for transforming a column say 'A' of dataset.Let say that new column is termed as 'B'.Now I have used a regression algorithm to predict the column 'B'.But I need a predicted class in 'A' form only.I am using the reverse…
Prachi singhal
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Why is pipeline throwing FitFailedWarining when I try LabelEncoder on my pipeline?
I am new at machine learning and trying to make a project to keep me busy, so I don't know a lot of how the sklearn works. The main objective is to train a model to predict a categorical variable. When I tried labelEncoding the y variable of my…
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apply label encoder for multiple columns in train and test dataset
I have a dataset which contains multiple columns which has values in string format.Now i need to convert these text column to numeric values using labelEncoder. In below e,g y is target of my tain dataset and and A0 to A13 are different features .…
Invictus
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Iterating in Dataframe's Columns using column names as a List and then looping through the list in Python
Im trying to LabelEncode particular columns of a Dataframe. I have stored those column names in a list(cat_features).
Now i want to use a For loop to iterate through this list's elements (which are strings) and use those elements to access…
Austin Spark
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Display list of text in tkinter
I want to display the result of my label encoding in tkinter like I display it using print function in python.
from sklearn.preprocessing import LabelEncoder
le = LabelEncoder()
df["REPORT_FAMILY"] =…
Nur Atiqah
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Encoding categorical columns - Label encoding vs one hot encoding for Decision trees
The way decision trees and random forest work using splitting logic, I was under the impression that label encoding would not be a problem for these models, as we are anyway going to split the column. For eg: if we have gender as 'male', 'female'…
user3331874
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Argument must be a string or number [ Label Encoding ]
I am trying to append my data frame to new data frame but I am getting a 'Argument must be a string or number ' error.
# The encoders
le = LabelEncoder()
ohc = OneHotEncoder()
for col in num_ohc_cols.index:
# Integer encode the string…
teamzealot
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Sklearn Random Forrest different accuracy values for different label encodings
I'm using sklearn Random Forrest to train my model. With the same input features for the model I tried passing the target labels first with label_binarize to create one hot encodings of my target labels and second I tried using label_encoder to…
drew_psy
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Use same category labeling criteria on two different dataframes
I have a dataFrame that contains a categorical feature which i have encoded in the following way:
df['categorical_feature'] = df['categorical_feature'].astype('category')
df['labels'] = df['categorical_feature'].cat.codes
If I apply the same code…
DataShytter
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How to convert back the model output for single input to one of the prediction classes?
I've been using LabelEncoder for categorical output
from keras.utils import np_utils
from sklearn.preprocessing import LabelEncoder
label = LabelEncoder()
y_train = np_utils.to_categorical(label.fit_transform(y_train))
y_test =…
nikhildr22
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How can I encode each categorical unique value to numerical value as I wish?
How can I encode each categorical unique value to numerical value as I wish?
HeatingQC: Heating quality and condition
Ex Excellent
Gd Good
TA Average/Typical
Fa Fair
Po Poor
I tried to encode this categorical data to…
David kim
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