bhimmetoglu / Pancake
Pancake is a Python package which provides a simple API to stack scikit-learn models.
☆28Updated 6 years ago
Alternatives and similar repositories for Pancake
Users that are interested in Pancake are comparing it to the libraries listed below
Sorting:
- General Interpretability Package☆58Updated 2 years ago
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 2 years ago
- Python implementation of R package breakDown☆43Updated last year
- scikit-learn gradient-boosting-model interactions☆25Updated 2 years ago
- Train multi-task image, text, or ensemble (image + text) models☆45Updated last year
- ☆14Updated 5 years ago
- Paper and talk from KDD 2019 XAI Workshop☆20Updated 4 years ago
- Extends scikit-learn with new models, transformers, metrics, plotting.☆72Updated 2 months ago
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆66Updated last year
- Automated machine learning (AutoML) with grammar-based genetic programming☆54Updated 11 months ago
- Embed categorical variables via neural networks.☆59Updated 2 years ago
- Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…☆30Updated 2 years ago
- DeepLearningfromScratch2018☆20Updated 6 years ago
- Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)☆47Updated 4 years ago
- Helpers for scikit learn☆16Updated 2 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆25Updated 5 years ago
- Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.☆23Updated 4 years ago
- CBM Encoding☆19Updated 4 years ago
- Better `keras` models for time series and beyond☆61Updated last year
- ☆23Updated last year
- Experimental library for sampling and validating scikit-learn parameters☆10Updated 6 years ago
- A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.☆102Updated 3 years ago
- Tutorial for a new versioning Machine Learning pipeline☆80Updated 3 years ago
- Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stan…☆53Updated 2 years ago
- Content for the Model Interpretability Tutorial at Pycon US 2019☆41Updated 9 months ago
- Scripts for paper "Encoding high-cardinality string categorical variables"☆24Updated 5 years ago
- Categorical Embedder is a python package that let's you convert your categorical variables into numeric via Neural Networks☆25Updated 5 years ago
- A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn fr…☆57Updated 3 years ago
- Guide for applying Unit Testing in data-driven projects☆19Updated 5 years ago
- ☆37Updated last week