All Questions

Filter by
Sorted by
Tagged with
0
votes
0answers
5 views

Literature on selecting specific dimensions in a word embedding vector

I am aware that the different dimensions in the word embedding represents different information and algebraic operations can be performed between two embeddings for example. Can anyone point me to ...
0
votes
0answers
7 views

Inverse predict the features from known target with fitted sklearn regressor

I understand that the default way a scikit-learn regressor works is that we fit it to a dataset of features and targets (X_train, ...
0
votes
0answers
4 views

max_iter hyper parameter in sklearn.cluster.MiniBatchKMeans

What is the significance of max_iter in sklearn.cluster.MiniBatchKMeans? Is this the maximum number of times partial_fit() can be executed on batches of data?
0
votes
0answers
7 views

Difference between stacked lstm vs attention mechanism in LSTM

What is the difference between stacked lstm vs attention mechanism in LSTM? It seem to me that both produce the same context vector at the end.
0
votes
0answers
3 views

Weighted Average Score

I have several different scores that I'd like to combine them into a single score that represents all parameters. Score components are: Nutrition Score (1-10): 1 for the worst quality and 10 for the ...
0
votes
0answers
3 views

Anconda R version - How to upgrade to 4.0 and later

I use R through the anaconda navigator, which manages all my package installations. I need to use qgraph for a project, which is dependent on mnormt library, which in turn needs RStudio verion >4.0 ...
0
votes
0answers
9 views

Backtesting Windows

I am looking to use an auto ML platform for retail forecasting. Will use 3.5 years of sales data. Our business has changed significantly. Higher margins, fewer incentives and competition has ...
0
votes
0answers
6 views

Generating new sequences from given set

I got two classes namely positive and negative with 1500 samples on each a total of 3k. A sample sequence is like: ...
0
votes
1answer
8 views

Can the extent of variability within a dataset be reflected through clustering?

As an example: I need to compare the extent of variability amongst houses belonging to 4 different architectural eras - I want to see how different the houses are within each group and then compare ...
1
vote
0answers
6 views

Dataset suggestion: video dataset with accurate depth and pose info

Please suggest some datasets (can be synthetic, like rendered in blender or so) which have video frames (30fps preferred) with accurate ground truth depth maps and pose (rotation and translation for ...
0
votes
0answers
9 views

How to create HTML kind links with text prediction application

I created text prediction application with Shiny.Everything works fine but now I need to output HTML sort of links instead of plain text output,where by clicking on the link of the output can help me ...
2
votes
0answers
7 views

Is there any way to plot ROC curve for Ensemble hard voting classifier?

I am working on a multi-class text classification problem and performing an Ensemble learning for text classification. I chose hard voting as ensemble technique. I tried to plot ROC curve for my ...
1
vote
2answers
19 views

Can points not being passed to the loss function influence it?

If I were to construct a model where only a subset of the training data is passed to the loss function, can the other parts of the dataset influence the fit? More concretely, in this first example: <...
1
vote
0answers
10 views

Decision boundary for KMeans clustering algorithm

Below code is used for plotting decision boundary for KMeans clustering. I understand contour in general, my question is, how does plot (contour method) know where to draw decision boundary based on ...
0
votes
0answers
8 views

Isn't graph embedding a step back from non-euclidean space?

As I understand, we use graph embedding to make a euclidean representation of non-euclidean structure - graph. Does it mean that conceptually we just take a step back to, may be, more complex, but ...
-1
votes
0answers
6 views

What are the technologies necessary to build a Car surface detection system for dents and scratches?

I am fairly new to Machine Learning and Data Science. I have been assigned a project in which I have to build a system that collects images of a car from 4 angles using different cameras and then ...
-1
votes
0answers
7 views

What is blending?

Many internet sides describe blending as "Blending is a word introduced by the Netflix winners"(in 2009 of the 1 mio $ Netflix competition) and it´s a method where you create a small holdout ...
0
votes
1answer
12 views

Exploratory Data Analysis on dataset divided by winners and losers

I have a dataset where I have features from winning tennis players and the other half are from a losing tennis players: ...
1
vote
1answer
15 views

Does the performance of GBM methods profit from feature scaling?

I know that feature scaling is an important pre-processing step for creating artificial neural network models. But what about Gradient Boosting Machines, such as LightGBM, XGBoost or CatBoost? Does ...
0
votes
0answers
4 views

Comparing functional hypotheses accounting for uncertain interpretation of their predictions

I am interested in using an information-theoretic approach (likely AIC) to compare the explanatory power of several functional hypotheses. As an example, hypothesis H1 predicts significant association ...
1
vote
1answer
19 views

List of numbers as classifier input

I am trying to use my data to predict the classes of the input. My data are as the following: ...
0
votes
0answers
13 views

Why L2 norm in AdaGrad update equation not L1?

The update equation of AdaGrad is as follows: I understand that sparse features have small updates and this is a problem. I understand that the idea of AdaGrad is to make the update speed (learning ...
0
votes
0answers
7 views

Comparing models when their performance may depend on a continuous variable

I am interested in using an information-theoretic approach (likely AIC) to compare the fit of several models to a dependent variable X. M1 may take the form ...
1
vote
0answers
8 views

Custom GRU With 3D Spatial Convolution Layer In Keras

I am trying to implement a custom GRU model that is shown in this paper 3D-R2N2 The GRU pipeline looks like: The original implementation is theano based and I am trying to apply the model in tf2/...
1
vote
0answers
13 views
0
votes
0answers
12 views

Supervised Text Classification

I need to create a summarized report showing how many containers are being imported by each company. This report needs to be generated on monthly basis. The company names are entered in a way that ...
0
votes
0answers
7 views

How to identify text similarity based on training data?

I have a set of documents (1 to 11) for which the labeling is done. Lets Assume: ...
0
votes
1answer
22 views

How many ways are there to check model overfitting?

I am running xgboost on a regression classification problem where the model is predicting a score of how likely a gene is to cause a disease from 0-1. I try to avoid overfitting in all the ways I can ...
0
votes
1answer
19 views

How to determine sample rate of a time series dataset?

I have a dataset of magnetometer sensor readings which looks like: ...
1
vote
1answer
12 views

Find the best interpolation method for missing observations

I have a database which has measurements of objects every day every hour. However, some data is missing and I don't have measurements for all the hours. in order to get over this challenge I have ...
0
votes
0answers
10 views

Multi Image to Single Image Assocaition

I have a dataset of drone captured images (non-geotaggged) which I would like to stitch to form a single image. I wanted to know what type of a neural network can I use to associate multiple images to ...
1
vote
1answer
19 views

Identify significant features in clustering results

I'm a student in Data Analysis, working on a data clustering exercise. Two clusters have been identified based on a dataset with 40 features. To interpret and label these clusters, I'm wondering if ...
0
votes
0answers
15 views

What probability distribution would be more appropriate for monthly rate of going to the store?

Part of a model I am making includes the frequency with which people go shopping for a given good (e.g. people on average go to the supermarket some n times a month). I am trying to figure out what ...
1
vote
0answers
7 views

Datasets for software defined network (SDN)

I am working on a project with Software Defined Networks (SDN), and new to SDN area. I was checking around internet to find a benchmark dataset, which is a flow based dataset inorder to apply ML ...
3
votes
1answer
23 views

What is the meaning of each element in input_shape of Conv1D in Keras?

I have a time-series data for 3 classes (each class is 35 second) as I extract each 1 second for 95 feature extracting so my final data has shape (105,95) (rows for time and column for feature). I am ...
0
votes
0answers
8 views

Why is my time series model predicting strange results?

I am trying to predict some time-series data. The output data predicts two numbers (one that's usually greater than 1 and another that is usually less than 1). I've plotted about 800 samples where the ...
0
votes
1answer
14 views

Why isn't the neural network updated after every example in the dataset

Why the neural network is updating only after the whole batch passes?
1
vote
1answer
15 views

Using Low Frequency Labels with High Frequency Features

I am trying to build a model (most likely a regression or random forest regression) for quarterly financial data. My training data has a daily cadence, but I am not sure how to work with these to ...
0
votes
0answers
9 views

Algorithm for rectifying incorrect text from OCR

I have an OCR (tesseract) engine running on processing "chyron" text from a live stream news feed. However, the OCR is often inaccurate and ends up with some noisy words: ...
1
vote
1answer
7 views

Finding optimal threshold in multi-class classification task

In a binary classification problem, it is easy to find the optimal threshold (F1) by setting different thresholds, evaluating them and picking the one with the highest F1. Similarly is there a proper ...
0
votes
0answers
10 views

Understanding Mapper clustering

Is there a way to find the number of clusters in mapper.map? It is a module in kmapper.KeplerMapper. When I plot the graph ...
1
vote
0answers
12 views

Can reducing the number of classes in multi-label classification increase performance?

This is more of an open question with people which have experience in this. I'm working on a multi-class multi-label classification for chest x-rays. I would like to know how much can reducing the ...
-1
votes
0answers
11 views

Bottleneck Distance

Is there a range of values for the bottleneck distance in persim package (python) to conclude that the two datasets are similar? Also, does it make sense to compute the bottleneck distance using $H_0$ ...
0
votes
0answers
6 views

Fitting Point Set with Other Point Sets

I'm attempting to recreate some figures from a publication I read (I'm a math minor, so apologies in advance for my weak terminology knowledge, and for the same reason if I'm in the wrong stack site). ...
0
votes
1answer
12 views

Is it valid to use numpy.gradient to find slope of line as well as slope of curve at any point?

what is the difference between slope of line and slope of curve ? Is it valid to use numpy.gradient to find slope of line and slope of curve at any point ? ...
0
votes
0answers
11 views

BERT reasoning capabilities

I'm working on a Twitter classification task and while analyzing the errors I found quite a few strange predictions. I'm searching for a tool (preferably open-source) similar to https://...
1
vote
1answer
16 views

How to find slope of curve at certain points

how to find slope at certain points circled in blue in below curve ? Are these below 2 approaches valid ? though they give different results . How to automatically find the points where the slope ...
0
votes
0answers
12 views

proper activation function at output and loss function to optimize for OCR?

I am trying to make a CNN model on IAM handwritten words data(which has images of words handwritten by multiple people and targets are text in the images). So, I can encode words to numbers(A=0, B=1 ...
0
votes
1answer
15 views

regression network that will be optimised on a subset of the data

I am trying to optimise my network that is trying to perform regression. Currently, the dataset is dominated by values in a certain range. It is very good at predicting these values. I want to try to ...

15 30 50 per page
1
2 3 4 5
500