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Questions tagged [one-hot-encoding]

One-Hot Encoding is a method to encode categorical variables to numerical data that Machine Learning algorithms can deal with.

Also known as Dummy Encoding, One-Hot Encoding is a method to encode categorical variables, where no such ordinal relationship exists, to numerical data that Machine Learning algorithms can deal with. One hot encoding is the most widespread approach, and it works very well unless your categorical variable takes on a large number of unique values. One hot encoding creates new, binary columns, indicating the presence of each possible value from the original data. These columns store ones and zeros for each row, indicating the categorical value of that row.

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How can I one hot encode a list of strings with Keras?

I have a list: code = ['', 'are', 'defined', 'in', 'the', '"editable', 'parameters"', '\n', 'section.', '\n', 'A', 'larger', '`tsteps`', 'value', 'means', 'that', 'the', 'LSTM', 'will', 'need', 'more', 'memory', '\n', 'to', 'figure', 'out'] And…
Shamoon
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How to interpret results of Spark OneHotEncoder

I read the OHE entry from Spark docs, One-hot encoding maps a column of label indices to a column of binary vectors, with at most a single one-value. This encoding allows algorithms which expect continuous features, such as Logistic Regression, to…
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How to give column names after one-hot encoding with sklearn?

Here is my question, I hope someone can help me to figure it out.. To explain, there are more than 10 categorical columns in my data set and each of them has 200-300 categories. I want to convert them into binary values. For that I used first label…
Aditya Pratama
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Tensorflow InvalidArgumentError (indices) while training with Keras

I'm trying to train a LSTM network on some data, unfortunately I keep running into following error: InvalidArgumentError: indices[] = is not in [0, 4704) Train on 180596 samples, validate on 45149 samples Epoch…
matm
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Explain onehotencoder using python

I am new to scikit-learn library and have been trying to play with it for prediction of stock prices. I was going through its documentation and got stuck at the part where they explain OneHotEncoder(). Here is the code that they have used : >>> from…
Shashwat Siddhant
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How do you decode one-hot labels in Tensorflow?

Been looking, but can't seem to find any examples of how to decode or convert back to a single integer from a one-hot value in TensorFlow. I used tf.one_hot and was able to train my model but am a bit confused on how to make sense of the label after…
Matt Camp
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Chisel: how to implement a one-hot mux that is efficient?

I have a table, where each row of the table contains state (registers). There is logic that chooses one particular row. Only one row receives the "selected" signal. State from that chosen row is then accessed. Either a portion of the state is…
seanhalle
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In Torch how do I create a 1-hot tensor from a list of integer labels?

I have a byte tensor of integer class labels, e.g. from the MNIST data set. 1 7 5 [torch.ByteTensor of size 3] How do use it to create a tensor of 1-hot vectors? 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0…
W.P. McNeill
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Using Scikit-Learn OneHotEncoder with a Pandas DataFrame

I'm trying to replace a column within a Pandas DataFrame containing strings into a one-hot encoded equivalent using Scikit-Learn's OneHotEncoder. My code below doesn't work: from sklearn.preprocessing import OneHotEncoder # data is a Pandas…
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converting tensor to one hot encoded tensor of indices

I have my label tensor of shape (1,1,128,128,128) in which the values might range from 0,24. I want to convert this to one hot encoded tensor, using the nn.fucntional.one_hot function n = 24 one_hot = torch.nn.functional.one_hot(indices, n) but…
Ryan
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scikit-learn: How to compose LabelEncoder and OneHotEncoder with a pipeline?

While preprocessing the labels for a machine learning classifying task, I need to one hot encode the labels which take string values. It happens that OneHotEncoder from sklearn.preprocessing or to_categorical from kera.np_utils require int inputs.…
Learning is a mess
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Avoiding Dummy variable trap and neural network

I know that categorical data should be one-hot encoded before training the machine learning algorithm. I also need that for multivariate linear regression I need to exclude one of the encoded variable to avoid so called dummy variable trap. Ex: If I…
user3489820
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Julia DataFrames - How to do one-hot encoding?

I'm using Julia's DataFrames.jl package. In it, I have a dataframe with a columns containing a list of strings (e.g. ["Type A", "Type B", "Type D"]). How does one then performs a one-hot encoding? I wasn't able to find a pre-built function in the…
Davi Barreira
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SciKit-Learn Label Encoder resulting in error 'argument must be a string or number'

I'm a bit confused - creating an ML model here. I'm at the step where I'm trying to take categorical features from a "large" dataframe (180 columns) and one-hot them so that I can find the correlation between the features and select the "best"…
mikelowry
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How do I resolve one hot encoding if my test data has missing values in a col?

For example if my training data has the categorical values (1,2,3,4,5) in the col,then one hot encoding will give me 5 cols. But in the test data I have, say only 4 out of the 5 values i.e.(1,3,4,5).So one hot encoding will give me only 4…
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