Questions tagged [labels]

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2answers
594 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 ...
2
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0answers
87 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 ...
12
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7answers
6k 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 ...
3
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0answers
148 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. ...
2
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1answer
86 views

Given data that is labeled as outliers, how can I classify data as outliers?

I have a dataset that is a mixture of sparse binary features and quantitative features. I only have definite outliers labeled. How should I approach trying to classify unlabeled data? I considered ...
1
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2answers
1k views

Does it make sense to label a dataset manually?

I would like to implement a classifier on a dataset which does not have a label. I've written a script which labels each row of the source file by some specific values like "IF H > 45 && T <...
3
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1answer
150 views

Object Detection classification

I am currently training a classifier for detecting resistors using TensorFlow Object Detection API. For that, I downloaded resistor images from ImageNet and I am currently labeling those who will be ...
0
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2answers
506 views

Dealing with long sequence labeling

I am dealing with a problem in which I have to label the inputs (in a sequence format) to 5 distinct classes. The input would be like: X = {x_1,_x_2,...,X_500} ...
2
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1answer
238 views

How to weigh imbalanced softlabels?

The target is a probability between N classes, I don't want it to predict the class with the highest probability but the 'actual' probability per class. For example: ...
1
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0answers
486 views

Ground truth/label modification during training (with the data obtained from the

I'm working on an image segmentation algorithm with FCN (Long et al., 2015) as the backbone network. One idea I have is to use the argmax binary mask obtained from the final score layer (250x250x1) ...
2
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1answer
158 views

What's the best strategy to train a CNN with images that only have labels for positive characteristics?

I have a large database of images that are only partially labeled for multiple, non-exclusive characteristics or objects present on them. For instance, an underwater scene might feature the labels <...
0
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1answer
172 views

Which process step in KDD or CRISP-DM includes labeling of the data?

KDD and CRISP-DM are both processes to structure your Data Mining procedure. Is data labeling not also a important part of Data Mining? Data labeling is for example in unsupervised learning the ...
1
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0answers
449 views

Are there any tools to make text labeling faster?

I saw the labelme tool, and I was wondering if there is a similar tool for labelling short documents ? preferably in python
1
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1answer
36 views

How to decide which images to label next?

We have a custom dataset of 20 thousand images with two pixel-wise labeled classes. However we have 1 million more raw images, which we would like to label. We want to label the most important new ...
6
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4answers
12k views

Tool to Label Images for Supervised Classification

I have a couple thousand photos of whales taken from drones and I'm planning to build a simple binary classifier to run on these and future images to see if they contain a whale. I'd like to label ...
6
votes
1answer
5k views

Is it valuable to normalize/rescale labels in neural network regression?

Have there been any papers, or does anyone have any specific experience to know whether normalizing labels in a regression problem is likely to improve the performance of a neural network? I have ...
1
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0answers
34 views

Establishing the ground truth for difficult cases when it comes to images

I need to create some labels with labelImg for specific objects, but there are two main factors, which make the process of creating bounding boxes a difficult task. ...
3
votes
1answer
163 views

Probability for label correctness in semi-supervised learning

I am aware of the existence of semi-supervised learning approaches, such as the Ladder Network, where only a subset of the data is labeled. Are there any methods or papers which consider correctness ...
2
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1answer
613 views

Python package for machine-learning aided data labelling

In a lot of cases unlabelled data needs to be transformed to labelled data. The best solution is to use (multiple) human classifiers. However, going to all the data by hand (i.e. in text-mining or ...
1
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1answer
1k views

How to create a training set for sequence labelling

I have a bunch of unlabeled text data that I would like to hand label. Are there any tools out there that you can use to produce your own labels? Ideally it would show a sentence at a time and give me ...
4
votes
1answer
985 views

Given a t-SNE plot, how can I infer the “most correct” labels? How does one understand its structure?

Let's say I begin with an exceptionally large dataframe (e.g. imported/munged from tsv files). Several of these columns are categorical labels. (As a more concrete example, let's imagine a group of ...
3
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0answers
5k views

Adding multilabel classifier to TensorFlow example

I am starting with the generic TensorFlow example. To classify my data I need to use multiple labels (ideally multiple softmax classifiers) on the final layer, ...
0
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1answer
182 views

Failure tolerant factor coding

There are a lot of ml-algorithms which cannot directly deal with categorical variables. A very common solution is to apply binary (dummy-) coding to still properly handle the categorical nature of ...
2
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1answer
3k views

Classifying multilabel images with TensorFlow

The dataset that I am categorizing with TensorFlow ML library contains multiple labels per image. The contents are real estate images photographed from outside that are analyzed for various image ...
1
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1answer
1k views

Labeling Dataset Algorithmically

I am working in emotion analysis of tweets. I collected close to .6 million tweets. I dont want to label them manually, instead i coded a bunch of complex rules to arrive at their label. Before I ...
12
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3answers
25k views

Mass convert categorical columns in Pandas (not one-hot encoding)

I have pandas dataframe with tons of categorical columns, which I am planning to use in decision tree with scikit-learn. I need to convert them to numerical values (not one hot vectors). I can do it ...
1
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0answers
29 views

how to learn from unlabeled samples but labeled group of samples?

I'm trying to perform anomaly detection on the open data from citibike. They are giving bikeshare trips for the past 30+ months, as well as monthly reports. In those reports they say how many bikes ...
1
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0answers
262 views

Multi-label ranking

I have some input data which can belong to different outputs. I'm trying to determine if there's a pattern between the inputs and the output. I'm exploring using multi-label support vector machines in ...

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