Questions tagged [numpy]
NumPy is one of the fundamental packages used for scientific computing in the Python ecosystem. Specifically, NumPy is used for numerical computing and uses n-dimensional arrays.
353 questions
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Trying to train ML model to do regression for US Department of Transportation Kaggle Flights Dataset with 5 million records and 7 features
For a college project for my data science course I am trying to fit a model based on the U.S. DOT's 2015 Kaggle Flight Cancellations dataset, but am not having great luck with model performance (MSE ...
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Implementing the Discriminant Algorithm for Reduced Multidimensional Features in Python
I need to implement the Discriminant Algorithm for Reduced Multidimensional Features proposed in the paper https://www.jstage.jst.go.jp/article/nolta/1/1/1_1_37/_pdf/-char/en as Algorithm 2. I am ...
3votes
1answer
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How to plot the marginal distributions of features in Iris dataset?
I'm trying to plot the marginal distribution of each feature (sepal length for example) of the Iris dataset use Numpy and Seaborn libraries like the first plot in the image below: However, I don't ...
- 133
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2answers
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Float to int of vector
I have vector with data type of float, mainly float32. The zero value is the baseline a.k.a. mean/center of data. It has shape (batch_size, seq_len). I want to ...
1vote
1answer
26views
implementing the SIRD model in python
im doing a project for my class where im trying to implement the sird model with the vaccinated population. Ive written my code based on the equations i have but something seems off in my graph. the ...
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0votes
0answers
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Numpy implementation of Matern covariance kernel derivative
For my research, I'm making use of the Numpy implementation of the Matern covariance kernel. To make sure I'm understanding what's happening, I try to derive the formulas inside the Numpy ...
0votes
0answers
37views
scikit-learn upgrade - how to fix breaking change?
i've inherated a solution that runs in databricks runtime 7.3, and it is using scikit-learn 0.21. Databricks runtime must be upgraded, and so existing scikit-learn version is not compatible with ...
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Iterating over ranges defined by a pair of integer arrays
I have a multidimensional array $\boldsymbol{A}$ of values and want to calculate the sum of values for every orthogonal range. The orthogonal ranges are defined by a pair of "antipodal" ...
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1vote
1answer
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Difficulty understanding .moveaxis in Numpy
I am having difficulties understanding .moveaxis in Numpy. I first create an array by using a=np.arange(24).reshape(2,3,4). The ...
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0votes
1answer
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ValueError: Found input variables with inconsistent numbers of samples: [0, 6]
I am trying to fit some data inside an algorithm, but i am getting this error: ValueError: Found input variables with inconsistent numbers of samples: [0, 6] How i ...
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1answer
82views
1vote
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Efficiently Implement a Data Transformation || Pytorch || coding advice
I have created the following class and function to create a 'custom' dataset. The use case was to sample every nth image from a data set to reduce the size of the data set while still maintaining ...
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1answer
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Why does largest eigen value used for eigen vector calcuation?
Why is the largest eigenvalue used for eigenvector calculation? What is the significance of using a largest absolute value for the whitening of a picture?
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1answer
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TypeError: unhashable type: 'slice' K-Means; Custom code for K-Means
Problem Statement The goal is to have the K-Means customer code run for clusters and not use scikit-learn libraries. Learning exercise. This K-means has the standard predict, fix, centroids, cluster ...
0votes
2answers
908views
Solve a non-linear system, in Python, with the GAUSS-NEWTON algorithm? (Jacobian matrix J, etc.)
I would like to solve a non-linear system (which contains the goals of a football team in previous matches) using the Gauss-Netwon algorithm, in order to find the parameter (of frequency) to use as ...
