Questions tagged [labels]

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1answer
23 views

How to train a machine learning algorithm with multiple labels

I have the following challenge and I very much hope that there is a solution to it. I also suspect that there is a simple approach to it. I just don't see it at the moment. Any help or advice is ...
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1answer
15 views

sklearn serialize label encoder for multiple categorical columns

I have a model with several categorical features that need to be converted to numeric format. I am using a combination of LabelEncoder and OneHotEncoder to achieve this. Once in production, I need to ...
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0answers
17 views

Excluding “mislabeled” examples in training set based on out of time data

This question is specifically regarding imperfect labels. I'd like to understand the theoretical and practical implications of removing examples from the training set based on information obtained ...
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1answer
15 views

Get Label Statistics of Image Dataset

I have a labeled image dataset, where the images are in subfolders and there is one Pascal XML per image with the labels. I would like to compute stats like: how many images have exactly two labels? ...
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1answer
41 views

How to fix spelling mistakes in data?

I have an input data file which contains list of drug names. I have more than 1000 unique drug names. However, the drug names has spelling mistakes and space character issues. For ex: we have ...
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1answer
24 views

LSTM Time-series classification - derived feature

I have a time-series dataset and I want to derive a new feature based on a date column which I believe might improve my predictive model. The feature is if it's weekday or weekend. I am not sure how ...
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0answers
6 views

List of platforms or interfaces that get humans to label datasets for machine learning training purposes?

Due to it being a new and fast-changing space, it's difficult to find reliable information on the different platforms/companies/services available to outsource the labelling of training datasets. ...
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1answer
182 views

How to trust the labels generated using ML models?

I have a dataset of patient records. But I do not know whether he is +ve for a cancer or not. So, I do not have the labels in my dataset. Now I can run a machine learning models like clustering to ...
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1answer
23 views

why we need data labelling tool for computer vision?

Before start training images with tensorflow object detection api we need to use labelling tool to annotate our images and converted to XML format. What happens when we convert our annoted image to ...
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1answer
15 views

LabelEncoder with a Multi-Layer Perceptron?

So we're working on a machine learning project at work and it's the first time I'm working with an actual team on this. I got pretty good results with a model that uses the following SKLearn pipeline: ...
2
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1answer
21 views

When unsupervised learning is more beneficial in comparison with supervised learning even the labelings are existed?

When unsupervised learning is more beneficial in comparison with supervised learning even the labeling are existed? If there is no labeling the unsupervised learning is better than supervised learning ...
6
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1answer
109 views

Can I use confident predictions to correct incorrect labels?

From visual inspection of a sub-portion of my data, I estimate that around 5-6% of the labels are incorrect. My classifier still performs well and when I take prediction probabilities that are above ...
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1answer
52 views

How is a coincidence matrix constructed for computing Krippendorff's alpha?

I am looking at two documents to help me learn about constructing coincidence matrices in order to gain a better understanding of Krippendorff's alpha. I am using these two: https://repository.upenn....
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3answers
122 views

Is (nearly) all data separable?

Suppose I have some data set with two classes. I could draw a decision boundary around each data point belonging to one of these classes, and hence, separate the data, like so: Where the red lines ...
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1answer
75 views

Discriminator of a Conditional GAN with continuous labels

OK, let's say we have well-labeled images with non-discrete labels such as brightness or size or something and we want to generate images based on it. If it were done with a discrete label it could ...
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1answer
12 views

Tools suitable for semi-automatic video labeling?

So far I have been using labelme to label objects in videos I use for training, but it is quite time consuming. Are there good tools to help with that? I was thinking about a tool where I label ...
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0answers
17 views

Labelling through Markov Switching models

I am new to machine learning, in the past I have worked with time series techniques. I have a database composed by the financial time series of SPX, its Exponential Moving average 20days, BBB ...
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0answers
28 views

Dataset Image creation suggestions

I am trying to create a dataset where the Text is mixed, e.g. " I love football" can be written as " I l()v3 F00tba11". The idea is that by using Tesseract I can find the pattern to match these two ...
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1answer
114 views

How to correct mislabeled data in dataset?

I have a dataset of about 300k records. Classes are highly imbalanced (which means that one may have 30k records, and the other may have only 100). Unfortunately, about 5% of records is incorrectly ...
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0answers
13 views

Pre-trained image recognition model to label new instances of retail products

Can you recommend unsupervised image recognition models that can be loaded/ transfered? My task is to provide labels to images of retail products (the N of classes is unknown and potentially huge (~...
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0answers
18 views

Create labels or annotation from two color images

I have two categories of images to use in my deep learning model. The firs category is aerial images that contain roads (such as road-1.jpg). The second category is two color images that contains road ...
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0answers
122 views

Is there a way to use Plotly as an annotation tool, for labelling time-series for instance?

I have been tasked to create a tool aimed at labelling sections and/or precise data points of a biomedical time-series. Our main framework is written in Python. I would like to know whether it is ...
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1answer
34 views

CNN for checking existance of single label

i am just thinking about training a neural network which uses data of only one single label. For example: Assuming i have many images which contain a dog. Now i want to teach the network how a dog ...
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2answers
967 views

Tool for labeling audio

I have few thousand audio signals to label into 2 different classes and save them to numpy array for further training of models. MATLAB recently released ...
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1answer
666 views

How label smoothing and label flipping increases the performance of a machine learning model

I have seen posts and research papers mentioning these techniques for improving the performance of a machine learning model. These techniques certainly make some sense in the case when we are not ...
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1answer
23 views

Quickest way of multi-labelling images?

I want to make a new dataset containg thousands of (different-sized) images. Now I need to assign multiple labels to each image. Of course I already looked at github etc. and there are good labelling ...
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0answers
150 views

How to Do Label Smoothing when Legal Classes Change

Label smoothing often helps accuracy, but I'm modeling a game where only some of the possible move outputs can be legal at a time, so I think it makes sense to smooth the labels among currently legal ...
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1answer
9 views

Key pixels, key “features” detection in CNNs

I am working on a dataset but I don't know what the labels mean. I was wondering if using CNNs there was a way to understand which pixels where most significant for the network. A little bit in the ...
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0answers
34 views

Proportion of positive/negative label in Supervised Learning

I'm working on a Supervised Machine Learning problem and I have a question about the proportion of positive/negative label. I would like to categorize some batch as OK or NOK. But actually my batchs ...
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2answers
185 views

how to get labels in face recognition in keras

I was building a face recognition system the model is complelete but i am having minor issues while predicting them. I used the Image data generator to load images from by train and test folders ...
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0answers
544 views

Clustering of multi-label data

The dataset consists of 1) a set of objects and 2) a set of labels, which are used to describe the objects. For the moment, for simplicity sake, each label can be marked as either true or false (...
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1answer
762 views

Automatic labelling of text data based on predefined entities

I'm new to NLP. I have a folder containing .txt files which are legal and specific documents. I want to label all these files based on four predefined labels. How can I do that automatically?
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1answer
603 views

How to label overlapping objects for deep learning model training

I am training yolov3 to detect a custom object (chickens). In a lot of my training images I have overlapping chickens (can only see a partial chicken etc). Is there a common practice for how to label ...
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0answers
25 views

How to label smart meter/plug data (time series)? [closed]

I would like to label smart plug data recorded in different household appliances so that I can train a machine to recognize for example when the oven is turned on. I am new to this topic and I am ...
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0answers
90 views

Transform a multiclass dataset into a multi-label one

I have a dataset of feature/label pairs. My labels are probabilities of each feature vector to belong to the K classes. Here is an example for K = 3: ...
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1answer
77 views

Suggestions for labeling data for named entity recognition [closed]

Is it good to label the data based on sub category than parent category? For example: for drugs data ... label the drugs dose as drug_dose or label the drug dose as different type of dose like ...
1
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1answer
75 views

Should we have only binary labels for LSTM?

Is it possible to have non-binary labels for LSTM? I mean an array like [ 100 120 140 20 50 70] Instead of [1 0 1 0 0 1 1] ...
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0answers
29 views

Correct approach to usage of class labels in cell imaging data

As part of a group project at university, we are given a series of videos of cell cultures over a 24 hour period. A number of these cells (the "knockout" cells) have had a particular gene removed, ...
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0answers
22 views

Online service for crowdsource text labbling [closed]

I'm trying to make a text classificator for short texts. For that task, I need a labeled samples dataset. I already have samples but most of them are not labeled. I'm tired to label them in excel ...
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0answers
314 views

How to handle preprocessing (StandardScaler, LabelEncoder) when using data generator to train?

So, I have a dataset that is too big to load into memory all at once. Therefore I want to use a generator to load batches of data to train on. In this scenario, how do I go about performing scaling ...
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1answer
77 views

Difference in labelling and normalizing train/test data

I am working on a dataset comprised of almost 17000 data points. Since it's a financial dataset and the components are many different companies, I need necessarily to split it by date. Therefore, ...
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0answers
120 views

Label construction for predictive maintenance

I am trying to do a binary classification related to predictive maintenance. The question I address is "What is the probability that the asset will fail in the next X units of time?" There is a guide ...
1
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3answers
113 views

Is there any tool for data visualization and manipulation?

I have a time series data set that I need to manually label them for supervised learning. What I am doing now is using excel to plot, and when I see the pattern that I want, I hover over the data on ...
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0answers
46 views

Merge one label with one information for classification problem or multi-label classification

I want to build a model to support decision making in order to propose or not loan insurance to clients. Because sometimes clients asking loan and loan insurance have less chance to have their loan ...
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0answers
26 views

How can I make use of the labels subdivision in a Deep Learning Image classification? [duplicate]

I want to solve an image classification problem. I want to recognize cats and dogs. However my labels are more detailed than ...
5
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1answer
45 views

What is the way to modify a neural network classifier to deal with sample points from outside of the label set?

I am solving an image classification problem. However some photos may not belong to any category, and I'd like not to give any fake information, rather to capture this situation. What are the ways to ...
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2answers
430 views

Label Encoder encoding the same class as two integers

First I have defined classes of a label encoder with the keys of a dictionary. Then I have used that label encoder to encode some strings. But for the same string, its giving different integers. Why ...
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0answers
78 views

Using ontology to infer labels for process model

I'm trying to implement a specific type of process mining, that has been presented in this thesis [link]. It is based on HMMs and generates a process model in form of a directed graph, where: Nodes ...
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6answers
3k views

Interactive labeling/annotating of time series data

I have a data set of time series data. I'm looking for an annotation (or labeling) tool to visualize it and to be able to interactively add labels on it, in order to get annotated data that I can use ...
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0answers
120 views

Label Encode with pre defined classes

I have trained a model (Random Forest) and now I want to use it to predict for a certain data on a particular day. I have a categorical column where there are some values(say a,b,c,d,e) over a period. ...