nyuvis / partial_dependenceLinks
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
Sorting:
- A `select` accessor for easier subsetting of pandas DataFrames and Series☆34Updated 2 years ago
- Surrogate Assisted Feature Extraction☆37Updated 4 years ago
- A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn fr…☆58Updated 4 years ago
- Helpers for scikit learn☆16Updated 3 years ago
- vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…☆120Updated last year
- Python implementation of R package breakDown☆43Updated 2 years ago
- Course in Probabilistic Programming in Python for the 2018 EU Summer School☆23Updated 7 years ago
- Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.☆23Updated 5 years ago
- Python library for Ceteris Paribus Plots (What-if plots)☆28Updated 4 years ago
- Predict whether a student will correctly answer a problem based on past performance using automated feature engineering☆32Updated 5 years ago
- A Primer on Python for Statistical Programming and Data Science☆26Updated 6 years ago
- ☆24Updated 2 years ago
- scikit-learn compatible Python bindings for ranger C++ random forest library☆55Updated 2 years ago
- Generalized additive models in Python with a Bayesian twist☆78Updated 5 months ago
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆66Updated last year
- ☆30Updated 8 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆26Updated 6 years ago
- ☆14Updated 6 years ago
- Patsy Adaptors for Scikit-learn☆48Updated 6 years ago
- Supporting material for the book club☆15Updated 3 years ago
- Shapley Values with H2O AutoML Example (ML Interpretability)☆19Updated 6 years ago
- Library for integrated use of H2O with Hyperopt☆13Updated last year
- Gradient boosting on steroids☆28Updated last year
- Analysis of Categorical Encodings for dense Decision Trees☆41Updated 8 years ago
- Advanced GBM Workshop - Budapest, Nov 2019☆13Updated 6 years ago
- Conventionally parameterized probability distributions☆35Updated last year
- Winners of the Sustainable Industry: Rinse Over Run competition☆21Updated 2 years ago
- (Python, R, C++) Explainable outlier/anomaly detection through decision tree conditioning☆64Updated 8 months ago
- Data Scientist code test☆19Updated 5 years ago
- Multidimensional isotonic regression☆28Updated 8 years ago