How to generate one hot encoding for DNA sequences using R or python Question: I want to generate one hot coding matrix for a list of DNA sequences. I have tried to solve my problem from the following link How to generate one hot encoding for DNA sequences? but some of the solutions are given …
How to create a one-hot-encoded dataframe of all possible combinations of X columns? Question: I have a pandas dataframe with 0 rows and 58 columns, but for the sake of illustration let’s assume I have a dataframe with 0 rows and 3 columns that looks like this: col1 col2 col3 I need to expand this …
De-duplicate some columns while doing a "hierarchical" one-hot encoding Question: I have a pandas dataframe (df) with columns A, B, C, and D. I have situation in which I wish to de-duplicate the values in the first two columns, one-hot-encode the third column, and do a one-hot-encoding of the last column in such a way …
How to predict (multi) labeled datapoints? Question: for example if I have 5 points and each point has dimension of 3 and has one of 10 possible labels from 0 to 9. Points XTrain: [[0.20861965 0.47901568 0.92075312], [0.96175914 0.70659989 0.82364516], [0.51805523 0.42727509 0.92545694], [0.4061363 0.55752676 0.56914541], [0.47859976 0.81323072 0.042954 ]] Labels y_true: [5 5 0 …
Ordinal encoding in Pandas Question: Is there a way to have pandas.get_dummies output the numerical representation in one column rather than a separate column for each option? Concretely, currently when using pandas.get_dummies it gives me a column for every option: Size Size_Big Size_Medium Size_Small Big 1 0 0 Medium 0 1 0 Small 0 0 …
How to convert 2D array one hot encoding to class name label? Question: I have just trained a CNN model for rock-paper-scissors image classification with Tensorflow. If I try to predict a class of an image, it gives output like [[1. 0. 0.]]. How to convert it to a class name label? I use ImageDataGenerator() …
One Hot Encoding preserve the NAs for imputation Question: I am trying to use KNN for imputing categorical variables in python. In order to do so, a typical way is to one hot encode the variables before. However sklearn OneHotEncoder() doesn’t handle NAs so you need to rename them to something which creates a seperate …
How to convert one-hot vector to label index and back in Pytorch? Question: How to transform vectors of labels to one-hot encoding and back in Pytorch? The solution to the question was copied to here after having to go through the entire forum discussion, instead of just finding an easy one from googling. Asked By: …
One Hot Encoding giving nan values in python Question: I have a classification case study where I am using Logistic Regression model. I want to use One Hot Encoding to convert my categorical column (SalStat) values into 0 and 1. This is my code: data2["SalStat"] = data2["SalStat"].map({"less than or equal to 50,000":0, "greater than 50,000":1}) …
One-Hot Encoding Question – Concept and Solution to My Problem (Kaggle Dataset) Question: I’m working on an exercise in Kaggle, it’s on their module for categorical variables, specifically the one – hot encoding section: https://www.kaggle.com/alexisbcook/categorical-variables I’m through the entire workbook fine, and there’s one last piece I’m trying to work out, it’s the optional piece …
