cjekel / piecewise_linear_fit_py
fit piecewise linear data for a specified number of line segments
☆310Updated last month
Alternatives and similar repositories for piecewise_linear_fit_py:
Users that are interested in piecewise_linear_fit_py are comparing it to the libraries listed below
- Quantify the difference between two arbitrary curves in space☆247Updated last month
- constrained nonlinear optimization for scientific machine learning, UQ, and AI☆467Updated 3 weeks ago
- Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.☆888Updated last month
- Cubic spline approximation (smoothing)☆165Updated 4 months ago
- Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.☆224Updated 2 years ago
- Python Kalman filters vectorized as Single Instruction, Multiple Data☆181Updated 11 months ago
- Fit data to many distributions☆370Updated 2 weeks ago
- A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines☆459Updated last year
- Chaospy - Toolbox for performing uncertainty quantification.☆446Updated last week
- Solve automatic numerical differentiation problems in one or more variables.☆257Updated last year
- A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model…☆451Updated 3 months ago
- Surrogate Optimization Toolbox for Python☆205Updated 3 years ago
- Symbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python☆208Updated last year
- Time series distances: Dynamic Time Warping (fast DTW implementation in C)☆1,090Updated last month
- Python library for bio-inspired computational intelligence☆190Updated last month
- Particle swarm optimization (PSO) that supports constraints☆319Updated 6 years ago
- A python package for non parametric Mann Kendall family of trend tests.☆244Updated 6 months ago
- GEKKO Python for Machine Learning and Dynamic Optimization☆611Updated 3 weeks ago
- Python module for machine learning time series:☆572Updated 2 years ago
- A Statistical Parameter Optimization Tool☆256Updated 2 months ago
- piecewise-regression (aka segmented regression) in python. For fitting straight line models to data with one or more breakpoints where th…☆104Updated 5 months ago
- Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.☆584Updated last week
- Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize, and with many additional classes and me…☆1,077Updated 3 weeks ago
- Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation☆764Updated last month
- Python port of R's Comprehensive Dynamic Time Warp algorithms package☆282Updated this week
- Weighted Principal Component Analysis (PCA) in Python☆148Updated 6 years ago
- Python module for adaptive kernel density estimation☆59Updated last year
- A python library for time-series smoothing and outlier detection in a vectorized way.☆742Updated last year
- pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.☆213Updated 5 years ago
- Fast and flexible Gaussian Process regression in Python☆451Updated this week