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Questions tagged [multilabel-classification]

Multi-label classification refers to the problem in Machine Learning of assigning multiple target labels to each sample, where the labels represent a property of the sample point and need not be mutually exclusive.

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in which situation different methods in multi-label classifications in scikit learn should be applied

I have read this to learn about various method in multi-label classifiers. I learned that there are 3 techniques to do multi-label classifications: 1.Problem Transformation 2.Adapted Algorithm 3.Ensemble approaches In the category of Problem…
sariii
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Tensorflow multilabel classification with 76,000 possible labels

Based on text description (varing length of 1000 words), i have to tag into one or more possible label values (for single training sample). Any suggesting algorithm to proceed further. More concered in backpropogation in tensorflow (Loss, optimizer…
user1531248
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got error while using k fold split in multilabel in sklearn

I would like to do K-fold cross-validation. the code before K-fold cross validation is like this: and it working perfectly df = pd.read_csv('finalupdatedothers-multilabel.csv') X= df[['sentences']] dfy =…
sariii
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Dimensionality Error when using Bidirectional LSTM with an embedding layer, on multi-label classification

I was trying to use Bidirectional LSTM, to classify text data (sentences) to certain classes. I used 3 of them as an example. I followed the multilabel-classification-post i.e. "Use sigmoid for activation of your output layer", "Use…
Min Chen
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Multi hot encoding

I am new+ to Python. I am working on multi label classification and need to prepare target data for multi hot encoding. It has taken way more time than I had initially thought. This is not real data (I can't post it). The data has ID, Category that…
user8716498
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Error in multilabel classification using the mlr package

I am trying to do a multilabel text classification, based on the tutorial available here: https://mlr-org.github.io/Multilabel-Classification-with-mlr/ I am getting this error: Error in checkLearnerBeforeTrain(task, learner, weights) : Task…
laura7s
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CNN Keras Dog cat classification if image contain both dog and cat

I modified dog cat binary classification to make multi-class activation by using Sigmoid activation function in output layer to get prediction for each individual class, but it failed to get expected results. I created a image which have both dog…
Inderjit Singh Sidhu
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How to fix NameError: name 'X_train' is not defined?

I am running the [code] of multi-label classification1.how to fix the NameError that the "X_train" is not defined.the python code is given below. import scipy from scipy.io import arff data, meta =…
abbas khan
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ploting 3D decision boundaries using SVM classification with 3 classes in Matlab

I am studying examples in Matlab to try to understand the classification procedure for Gaussian SVM. Does anyone have some code in MATLAB (i am using the classification learner app) where I can plot in 3 D the decision boundaries for a multi-label…
Steve
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How to add a threshold in softmax scores

When doing multi-classcification usually I got a softmax score and predictoins with below, softmax_scores = tf.nn.softmax(logits=self.scores, dim=-1) prediction=tf.argmax(self.scores, 1, name="predictions") If the softmax_socres I got is…
Yuguang
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Handle categorical class labels for scikit-learn MLPClassifier

I have a handwritten dataset for classification purpose where the classes are from a-z. If I want to use MLPClassifier, I think I cannot use such categorical classes directly because MLP implementation in scikit-learn only handles numerical classes.…
Medo
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specify priors in multi-label Naive Bayes in python scikit-learn

I am working on a multi-label classification. I used GaussianNB function on python scikit-learn. The target is an array with (N, L) shape, where L is the number of classes and N is the number of observations. I used three ways to deal with…
ycenycute
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How to pass in unseen data into multi-label classifier

I have trained a multi-label classifier using SVM, Logistic Regression and NB. My question is how do I pass in unseen data to the classifier? Here's my full code # Bring all the important libraries %matplotlib inline import re import…
Chat Peters
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Stacking list of lists vertically using np.vstack is throwing an error

I am following this piece of code http://queirozf.com/entries/scikit-learn-pipeline-examples in order to develop a Multilabel OnevsRest classifier for text. I would like to compute the hamming_score and thus would need to binarize my test labels as…
Shiva Kumar
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Unable to find proper prediction results after using BernoulliNB in python using sklearn

So I gathered some code online for my research work and practice. I am working on a denver crime data set. which looks something like this : INCIDENT_ID 446399 non-null int64 OFFENSE_ID 446399 non-null…
user8101370
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