# All Questions

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### 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 ...
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, ...
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?
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.
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 ...
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 ...
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 ...
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: ...
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 ...
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 ...
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 ...
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 ...
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: <...
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 ...
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 ...
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 ...
0answers
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0answers
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### 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). ...
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 ? ...
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://...
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 ...
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 ...
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 ...

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