![Are you using the “Scikit-learn wrapper” in your Keras Deep Learning model? | by Tirthajyoti Sarkar | Towards Data Science Are you using the “Scikit-learn wrapper” in your Keras Deep Learning model? | by Tirthajyoti Sarkar | Towards Data Science](https://miro.medium.com/max/923/1*nRmF_XhObEdI8zTB2wGgQw.png)
Are you using the “Scikit-learn wrapper” in your Keras Deep Learning model? | by Tirthajyoti Sarkar | Towards Data Science
![Applied Sciences | Free Full-Text | How to Use Machine Learning to Improve the Discrimination between Signal and Background at Particle Colliders | HTML Applied Sciences | Free Full-Text | How to Use Machine Learning to Improve the Discrimination between Signal and Background at Particle Colliders | HTML](https://www.mdpi.com/applsci/applsci-11-11076/article_deploy/html/images/applsci-11-11076-g001.png)
Applied Sciences | Free Full-Text | How to Use Machine Learning to Improve the Discrimination between Signal and Background at Particle Colliders | HTML
Refactor BaseEstimator.get_params for easier use in subclasses · Issue #13555 · scikit-learn/scikit-learn · GitHub
GitHub - tholoien/XDGMM: A wrapper class for the scikit-learn BaseEstimator class that implements both the astroML and Bovy et al. (2011) XDGMM methods.
![Code Documentation: Feature Selectors — MAterials Simulation Toolkit for Machine Learning (MAST-ML) 2.0 documentation Code Documentation: Feature Selectors — MAterials Simulation Toolkit for Machine Learning (MAST-ML) 2.0 documentation](https://mastmldocs.readthedocs.io/en/stable/_images/inheritance-2c7c069db21372d6801df6f66b60d9919033198f.png)
Code Documentation: Feature Selectors — MAterials Simulation Toolkit for Machine Learning (MAST-ML) 2.0 documentation
![Pipelines & Custom Transformers in scikit-learn: The step-by-step guide (with Python code) | by Himanshu Chandra | Towards Data Science Pipelines & Custom Transformers in scikit-learn: The step-by-step guide (with Python code) | by Himanshu Chandra | Towards Data Science](https://miro.medium.com/max/1400/1*Hk05A38Nv_E5jDP3bjRfSQ.png)
Pipelines & Custom Transformers in scikit-learn: The step-by-step guide (with Python code) | by Himanshu Chandra | Towards Data Science
![tensorflow - keras + scikit-learn wrapper, appears to hang when GridSearchCV with n_jobs >1 - Stack Overflow tensorflow - keras + scikit-learn wrapper, appears to hang when GridSearchCV with n_jobs >1 - Stack Overflow](https://i.stack.imgur.com/tUoYr.png)
tensorflow - keras + scikit-learn wrapper, appears to hang when GridSearchCV with n_jobs >1 - Stack Overflow
![Scikit-Learn Pipeline Transformers — The hassle of transforming target variables (Part 2) | by Carlos Schwabe | Analytics Vidhya | Medium Scikit-Learn Pipeline Transformers — The hassle of transforming target variables (Part 2) | by Carlos Schwabe | Analytics Vidhya | Medium](https://miro.medium.com/max/1400/1*YyI68OQMVGqu-mB_Z5k-tw.png)
Scikit-Learn Pipeline Transformers — The hassle of transforming target variables (Part 2) | by Carlos Schwabe | Analytics Vidhya | Medium
![Pipelines & Custom Transformers in scikit-learn: The step-by-step guide (with Python code) | by Himanshu Chandra | Towards Data Science Pipelines & Custom Transformers in scikit-learn: The step-by-step guide (with Python code) | by Himanshu Chandra | Towards Data Science](https://miro.medium.com/max/1400/1*jOT9Z8uZue8Ociwd1ejfrg.png)