nyuvis / partial_dependence
Python package to visualize and cluster partial dependence.
☆28Updated 3 years ago
Alternatives and similar repositories for partial_dependence:
Users that are interested in partial_dependence are comparing it to the libraries listed below
- Python implementation of R package breakDown☆42Updated last year
- Library for integrated use of H2O with Hyperopt☆13Updated last year
- Helpers for scikit learn☆16Updated 2 years ago
- Data Scientist code test☆19Updated 4 years ago
- Python library for Ceteris Paribus Plots (What-if plots)☆24Updated 4 years ago
- WIP predicted survival functions☆37Updated 5 years ago
- Analysis of Categorical Encodings for dense Decision Trees☆41Updated 8 years ago
- A `select` accessor for easier subsetting of pandas DataFrames and Series☆34Updated last year
- Documentation for the DALEX project☆36Updated last year
- Supporting material for the book club☆15Updated 2 years ago
- 🪜 Bayesian Hierarchical Models at Scale☆52Updated 3 years ago
- Surrogate Assisted Feature Extraction☆37Updated 3 years ago
- Talks about vaex☆36Updated 2 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
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 3 years ago
- Repository with code, notebook and slides for my talk at PyConDE & PyData Berlin 2019☆36Updated 2 years ago
- vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…☆121Updated 3 months ago
- Material for the PyLadies Bayesian Tutorial, Feb 11, 2020☆12Updated 2 years ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 3 years ago
- Source repository for the online book Exploratory Analysis of Bayesian Models.☆22Updated this week
- ☆30Updated 7 years ago
- Generalized additive models in Python with a Bayesian twist☆77Updated 11 months ago
- Course in Probabilistic Programming in Python for the 2018 EU Summer School☆23Updated 6 years ago
- A Primer on Python for Statistical Programming and Data Science☆26Updated 6 years ago
- Prune your sklearn models☆19Updated 6 months ago
- Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.☆23Updated 4 years ago
- Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions☆21Updated 7 years ago
- mlmachine accelerates machine learning experimentation☆30Updated 3 years ago
- Tutorial on multilevel modeling, using Gelman radon example☆58Updated 9 years ago
- scikit-learn gradient-boosting-model interactions☆25Updated 2 years ago