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Firstly I cannot thank you enough for writing such an amazingly fast high-dimensional FE pkg !
And sorry I'm not sure where to post this question. I feel like it is too specific to this package to …
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Insert the code in the calc_weights function in pykitzoid/algorithms/polynomial_regression.go. This algorithm should aim at minimising the sum of squared differences between the predicted values (base…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
Algorithms Used
KNN Classifier
Logestic Regression
Decision Tree Classifier
Linear SVC…
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Currently the classification and regression algorithms in the `neighbors` module use a flat prior. They should be modified to compute a prior based on training data, and to optionally accept a user-d…
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### Is your feature request related to a problem? Please describe.
I like this plugin very much,Have you considered updating the algorithm to SM-18 or SRFS?
### Describe the solution you'd like
I l…
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**Describe the feature you would like**
I was curious if there is an interest in having unit test in the CI/CD, if so which areas of the code/feature would be good to have unit tests. I'm thinking I …
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H2o should support running Multivariate regression, i.e. multiple Y continuous real-valued output response variables (NOT autoencoders), using algorithms i.e. DLNN, GBM, Random Forests.
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Linear regression is among the first algorithms for an ML newbie. Write an `IRuby notebook` for it with detailed explanation. DO NOT COPY the algorithm from any other GitHub repository.
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Social Housing Provision Analysis using DL
:red_circle: **Aim** : The aim of this project is to analyze…
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I wonder after reading Chapter 7 that in Ada Boost Ensemble Algorithm multiple types of base learning algorithms can be used ex: decision trees, svm, logistic regression, etc. But in the implementatio…