fpgdubost / bstrapLinks
Bootstrap hypothesis testing Python Package. Bootstrapping is a simple method to compute statistics over your custom metrics, using only one run of the method for each sample in your evaluation set. It has the advantage of being very versatile, and can be used with any metric really.
☆15Updated 3 years ago
Alternatives and similar repositories for bstrap
Users that are interested in bstrap are comparing it to the libraries listed below
Sorting:
- Distance correlation and related E-statistics in Python☆154Updated 11 months ago
- python implementation of catch22☆85Updated last week
- Tutorials for the Machine Learning for Time Series class - Master MVA☆26Updated 8 months ago
- ☆122Updated last week
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated 7 months ago
- pycircular is a Python module for circular data analysis☆104Updated 2 years ago
- Bayesian time series forecasting and decision analysis☆116Updated 2 years ago
- 📈 🐍 Multidimensional synthetic data generation with Copula and fPCA models in Python☆64Updated last year
- Global, derivative-free optimization for hyperparameter tuning☆42Updated 2 years ago
- bayes-toolbox☆93Updated last month
- Elo ratings for global black box derivative-free optimizers☆141Updated 6 months ago
- Advanced random forest methods in Python☆57Updated last year
- A Python package for data analysis with permutation entropy and ordinal network methods.☆104Updated 4 months ago
- Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Su…☆79Updated last year
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆61Updated 2 weeks ago
- Generalized additive models in Python with a Bayesian twist☆78Updated last year
- Comparative analysis of pairwise interactions in multivariate time series.☆241Updated this week
- Scikit-learn compatible decision trees beyond those offered in scikit-learn☆84Updated last week
- Fast and incremental explanations for online machine learning models. Works best with the river framework.☆55Updated 7 months ago
- A Python library for vine copula models☆108Updated this week
- Dynamic Time Warping☆44Updated 5 months ago
- Functional Data Analysis Python package☆331Updated last month
- Multivariate data modelling with Copulas in Python☆153Updated 6 months ago
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆51Updated last year
- A multiverse of Prophet models for timeseries☆54Updated this week
- tsbootstrap: generate bootstrapped time series samples in Python☆81Updated last month
- A Python Package for Probabilistic Prediction☆22Updated 4 years ago
- Powerful add-ons for PyMC☆109Updated last week
- Gaussian Process Model Building Interface☆51Updated 5 months ago
- Code for: "A Generalised Signature Method for Time Series"☆64Updated 2 years ago