# Questions tagged [numerical]

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### Questions regarding backward propagation

I am reading article regarding backward propagation https://mattmazur.com/2015/03/17/a-step-by-step-backpropagation-example/ . Lets say if I follow the example in the article but using only 3 node, ...
52 views

### Likelihood function of a Beta-Normal distribution

I'm going over a paper regarding the calculation of credit scoring By Kalkbrener and Onwunta. In the article, they derive the following Likelihood function, in order to find the MLE for $R^2$: (...
1 vote
20 views

### Calculating an integral with as few grid points as possible

Suppose I have a function $f\colon [0,1] \to \mathbb{R}$ which is maybe continuous (it's at least in $L^1$). I have a sample of $N$ points $\{x_i\}$ taken from the domain $[0,1]$ randomly from some ...
20 views

### Converting categorical to the percentage

How do I convert the categorical value to the percentage?| I have this asset wellness data: Poor: 3 Warning: 27 Good: 120 How do I convert it to the percentage ...
14 views

### Numerical instabilety with kmeans

If i understand the math right a kmeans iteration should always improve cosine similarity. So if the data is z-normalized it should always improve corelation Well it seemed to be the case for a small ...
133 views

### Binary transformer classification model predicts everything as same value

I'm training a binary classifier using a transformer on structured numerical data (so the order of the columns in my spreadsheet matters). I have adapted the keras text classification model for IMDb ...
64 views

### Clustering mixed type variables with Orange

I wonder if with Orange it is possible to cluster mixed type data, so a dataset with numeric as well as discrete (categorical) data (ordered / unordered). Can you show an example of how that could be ...
1 vote
33 views

### Why is Orange (CSV import or Line Series) doing some weird rounding on my data?

The data I have is in tab-separated format (exported from MetaTrader5): ...
1 vote
13 views

### Dealing with little available data: transfer learning

Suppose I seek to predict a certain numerical value, whereby the data set which contains the predetermined correct labels is only very small. However, I'm also provided a large data set with a label ...
38 views

### Over-sampling when predicting a contionuous variable

Lets say i am predicting house selling prices (continuous) and therefore have multiple independent variables (numerical and categorical). Is it common practice to balance the dataset when the ...
152 views

### Separating numerical and categorical features in a binary classification problem

I have a dataset with employee data with around 9500 rows, and have to predict if the target is 0 or 1. Some of my features are the department of an employee, gender, salary, review_score(numerical),...
1 vote
28 views

### With a 5000x20 CSV as data input discover the most common occurrences of numbers in a row

As input I have a CSV with 5000 lines (and growing) and 20 fixed columns containing a number from 1-80. A row may look like this. Is it possible using Orange3 to analyze each row and find out what ...
976 views

### Separate discrete and continuous variables

I know how to separate numerical and categorical data as follows: ...
6k views

### Separate numerical and categorical variables

I have a dataset (42000, 10) which contains 7 categorical features and 3 numerical. I would like to separate both the numerical and categorical features into 2 different data frames i.e I would like 2 ...
178 views

### Transforming Categorical to Numerical variable

I have a categorical variable with 4 levels ('8 c', '6 c','NAN','Others') and I want to convert it to numerical form. an Obvious way is to simply remove the 'c' part from the first two categories and ... 258 views

### Problem with binning

I am trying to change continuous data points to categorical by using binning. I know two techniques, i) equal width bins ii) bins with equal number of elements. My questions are: Which type of ...
1 vote
27 views

### partial numerical array - pattern matching

I have a linear numerical array source and I want to find/match test array as pattern : ...
70 views

### 5 digit number mis-reads analysis

Nothing to do with number recognition in the classical 'hand-written' sense Disclaimer above to avoid this being counted as a repeat. I have a selection of 96 serial numbers, and a separate ...
7k views

### Purpose of converting continuous data to categorical data

I was reading through a notebook tutorial working with the Titanic dataset, linked here, and noticed that they highly favored ordinal data to continuous data. For example, they converted both the Age ...
346 views

### Cluster method with binary variable

I need to do a cluster analysis for the following variables: ...
69 views

### What is the intuition behind using Monte Carlo to solve a differential equation

Conceptually, I understand how a numerical method like Monte Carlo is used to solve a definite integral. Because integral of a function is the area bounded by the curve, the ratio of random points ...
1 vote
17 views

### How to do non arithmetic operation in python 3 [closed]

lets say a=3 b=4 and c is an unknown constant. a=3 b=4 F=0 F=a*b*c print(F) Its an error. I want 12*c or 12c
1 vote
7k views

### MinMaxScaler returned values greater than one

Basically I was looking for a normalization function part of sklearn, which is useful later for logistic regression. Since I have negative values, I chose MinMaxScaler with: ...
932 views

### Convert nominal to numeric variables?

I am trying to develeop an algorithm with sklearn and Tensorflow to predict which car can be offer to each customer. To do that I have a database with the answers of one survey to 1000 customers. An ...
12k views

### Replacing words by numbers in multiple columns of a data frame in R

I want to replace the values in a data set (sample in the picture) using numbers instead of words, e.g., 1 instead of D, ...
1 vote
176 views

### Homemade deep learning library: numerical issue with relu activation

For the sake of learning the finer details of a deep learning neural network, I have coded my own library with everything (optimizer, layers, activations, cost function) homemade. It seems to work ...
548 views

Owl is the numerical library for OCaml: https://github.com/ryanrhymes/owl It is supposed to be an equivalent of numpy and also have capabilities of tensorflow. Any insights on why it should be used ...
1k views

### How to choose the optimal k in k-protoypes?

To analyze a dataset from banking I have both numerical and categorical values. I transform them to analyze with k-prototypes. The original dataset: The modified dataset: E.g.: Job (for 1 to 12 '...
1k views

### Do numerical inaccuracies play any role in training neural networks?

Are there publications which mention numerical problems in neural network optimization? (Blog posts, articles, workshop notes, lecture notes, books - anything?) Background of the question I've ...
37k views

### Encoding features like month and hour as categorial or numeric?

Is it better to encode features like month and hour as factor or numeric in a machine learning model? On the one hand, I feel numeric encoding might be reasonable, because time is a forward ...
2k views

### How to estimate the mutual information numerically?

Suppose I have a sample {$z_i$}$_{i\in[0,N]}$ = {($x_i,y_i$)}$_{i\in[0,N]}$ which commes from a probability distribution $p_z(z)$. How can I use it to estimate the mutual information between X and Y ? ...