Questions tagged [one-class-classification]

32 questions
6
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1 answer

One Class SVM and Isolation Forest for novelty detection

My question is regarding the Novelty detection algorithms - Isolation Forest and One Class SVM. I have a training dataset(with 4-5 features) where all the sample points are inliers and I need to classify any new data as an inlier or outlier and…
5
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1 answer

Passing Target/Label data to Scikit-learn GridSearchCV's fit method for OneClassSVM

From my understanding, One-Class SVM's are trained without target/label data. One answer at Use of OneClassSVM with GridSearchCV suggests passing Target/Label data to GridSearchCV's fit method when the classifier is the OneClassSVM. How does the…
4
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1 answer

Re-using created dataset for different task (object detection - image classification)

I have created a large dataset in Amazon sagemaker and labeled it using bounding boxes. I used this dataset for object detection and everything worked fine. Later, I wanted to use this dataset for simple image classification. But every time, I try…
2
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1 answer

One Class Classification in R language. What am I doing wrong when generating the confusion matrix?

I am trying to understand and implement classifiers A class in R is based on several UCIs and one of them (http://archive.ics.uci.edu/ml/datasets/Chronic_Kidney_Disease). When trying to print a confusion matrix you are giving the error “all…
1
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1 answer

Does H2O support one-class classification?

I'd like to build a one-class classification (OCC) model using the H2O package either for Python or R but I couldn't find any reference on the internet. So I wonder, does H2O support one-class classification? If it does, could someone here help me…
1
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0 answers

R One-Class SVM - Get Probabilistic outputs

I am trying to find away to derive probabilistic outputs when predicting from a one-class svm in R. I know this is not supported in libsvm and I also know this question has been asked before and here a couple of years ago on SO but packages were not…
A_Murphy
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How to troubleshoot the dimensions for my layers in PyTorch

I am working through my training loop errors where my dimensions are incorrect. Of course there is other code here and there, but I thought this the most important to show here. I feel everywhere I look online I am getting told different info or in…
1
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1 answer

One class SVM model for text classification (scikit-learn)

I am attempting to classify a train set of texts to be used for predicting similar texts in the test set of texts. I am using the one_class_svm model. 'author_corpus' contains a list of texts written by a single author and 'test_corpus' contains a…
1
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1 answer

Which algorithm does R use for computing one-class SVM ? (package e1071)

Which algorithm does R use for computing one-class SVM ? This is the function e1071::svm(..., type=one-classification, ...) I have found this very nice blog, where author writes about two algorithms for one-class SVM. Which one does the function…
pikachu
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why I cant build a prediction model for OneClassSVM in sklearn

I am trying to detect outliers to a dataset using OneClassSVM, my code is as follows from sklearn.svm import OneClassSVM import pandas as pd input_file = "training.csv" training_data = pd.read_csv(input_file) X = training_data[['header1',…
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0 answers

Requested tensor connection from unknown node: "dense_5_target:0"

I'm faced this error when I running this code in Google colab. The error is: InvalidArgumentError Traceback (most recent call last) in () 22 23 model3 = get_model3() ---> 24…
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OC-SVM based threshold setting

Could anyone please suggest some papers on it? I have already done some research but seems hard to find somethin on it.
0
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1 answer

One-class svm classification error : Classification metrics can't handle a mix of unknown and binary targets

X_train, X_test, y_train, y_test = train_test_split(x, y, test_size=0.3, random_state = 2020, stratify=y) X_train_user = X_train[y_train == 'ji2hwh'] X_train_attacker = X_train[y_train != 'ji2hwh'] outlier_prop = len(X_train_user) /…
George
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Is decision surface (hypersphere in one class svm) is similar to threshold setting?

I'm trying to find training methods of a threshold setting based on one-class support vector machine. So my question is, is decision surface as hypersphere in one class svm is similar to threshold setting in the case i mentioned? I'm quite new to…
0
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0 answers

Binary Classification on Unbalanced Medical Datasets

I want to work on a binary classification problem using a medical dataset consisting of 35K images. I have a few questions on the same. 1.) The architectures like VGG, Inception, etc which are typically used on datasets like COCO, ImageNet, etc are…
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