canagnos / mcpLinks
Tools for Measuring Classification Performance for R, Python and Spark
☆13Updated 7 years ago
Alternatives and similar repositories for mcp
Users that are interested in mcp are comparing it to the libraries listed below
Sorting:
- GBM multicore scaling: h2o, xgboost and lightgbm on multicore and multi-socket systems☆20Updated 7 years ago
- An implementation of the SuperLearner algorithm in Python based on scikit-learn.☆25Updated 11 years ago
- Pyro models and misc examples.☆19Updated 4 years ago
- Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)☆46Updated 4 years ago
- Python implementation of R package breakDown☆43Updated 2 years ago
- This is a read-only mirror of the CRAN R package repository. bsts — Bayesian Structural Time Series☆34Updated last year
- ☆32Updated 8 years ago
- Course in Probabilistic Programming in Python for the 2018 EU Summer School☆23Updated 7 years ago
- Content associated with a PyData Seattle 2017 tutorial on Unevenly spaced time series analysis of The Simpsons using pandas☆15Updated 8 years ago
- Presentations & notebooks from our talks /workshops/meetups/etc☆24Updated 7 years ago
- Fast, accurate, lightweight, multi-core ML in Python, leveraging Vowpal Wabbit☆21Updated 7 years ago
- PolYamoR is the first forward-reverse automated translation system between Python and R☆16Updated 8 years ago
- The holdout randomization test: feature selection using black box predictive models☆21Updated 4 years ago
- Paper and talk from KDD 2019 XAI Workshop☆20Updated 5 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆26Updated 5 years ago
- Tutorial on multilevel modeling, using Gelman radon example☆58Updated 10 years ago
- Analysis of Categorical Encodings for dense Decision Trees☆41Updated 8 years ago
- Fast k-Nearest Neighbors Classifier for Large Datasets☆69Updated 7 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 7 years ago
- Python solver for mixed-effects models☆97Updated 2 months ago
- A curated list of gradient boosting machines (GBM) resources☆10Updated 6 years ago
- Code for blog post on Bayesian inference in PyStan☆20Updated 4 years ago
- State management framework for Data Science & Analytics☆19Updated 5 years ago
- ☆53Updated 7 years ago
- ☆13Updated 8 years ago
- Matrix tools for building and inspecting latent spaces☆27Updated 6 years ago
- CausalFX R Package☆13Updated 10 years ago
- Notebooks containing R code from Richard McElreath's Statistical Rethinking☆72Updated 9 years ago
- An in depth tutorial on sklearn's Pipeline and FeatureUnion classes.☆16Updated 8 years ago
- These are the codes used in the paper "Accelerated Gradient Boosting" by G. Biau, B. Cadre, and L. Rouvière.☆17Updated 7 years ago