Search Results for "linear fit"
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Showing 24 open source projects for "linear fit"
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Lasso.jl
Lasso/Elastic Net linear and generalized linear models
Lasso.jl is a pure Julia implementation of the glmnet coordinate descent algorithm for fitting linear and generalized linear Lasso and Elastic Net models. -
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Prophet
Tool for producing high quality forecasts for time series data
Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well. Prophet is used in many applications across Facebook for producing reliable forecasts for planning and goal setting... -
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imodelsX
Interpretable prompting and models for NLP
Interpretable prompting and models for NLP (using large language models). Generates a prompt that explains patterns in data (Official) Explain the difference between two distributions. Find a natural-language prompt using input-gradients. Fit a better linear model using an LLM to extract embeddings. Fit better decision trees using an LLM to expand features. Finetune a single linear layer on top of LLM embeddings. Use these just a like a sci-kit-learn model. During training, they fit better... -
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Mixed-effects models in Julia
A Julia package for fitting (statistical) mixed-effects models
This package defines linear mixed models (LinearMixedModel) and generalized linear mixed models (GeneralizedLinearMixedModel). Users can use the abstraction for statistical model API to build, fit (fit/fit!), and query the fitted models. A mixed-effects model is a statistical model for a response variable as a function of one or more covariates. For a categorical covariate the coefficients associated with the levels of the covariate are sometimes called effects, as in "the effect of using... -
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Automated Tool for Optimized Modelling
Automated Tool for Optimized Modelling
During the exploration phase of a machine learning project, a data scientist tries to find the optimal pipeline for his specific use case. This usually involves applying standard data cleaning steps, creating or selecting useful features, trying out different models, etc. Testing multiple pipelines requires many lines of code, and writing it all in the same notebook often makes it long and cluttered. On the other hand, using multiple notebooks makes it harder to compare the results and to... -
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Emb-GAM
An interpretable and efficient predictor using pre-trained models
... for each input before learning a linear model in the embedding space. The final model (which we call Emb-GAM) is a transparent, linear function of its input features and feature interactions. Leveraging the language model allows Emb-GAM to learn far fewer linear coefficients, model larger interactions, and generalize well to novel inputs. Across a variety of natural-language-processing datasets, Emb-GAM achieves strong prediction performance without sacrificing interpretability. -
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DataMelt
Computation and Visualization environment
DataMelt (or "DMelt") is an environment for numeric computation, data analysis, computational statistics, and data visualization. This Java multiplatform program is integrated with several scripting languages such as Jython (Python), Groovy, JRuby, BeanShell. DMelt can be used to plot functions and data in 2D and 3D, perform statistical tests, data mining, numeric computations, function minimization, linear algebra, solving systems of linear and differential equations. Linear, non-linear... -
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AtteStat
The package for statistical data analysis and applied mathematics
The high performance open source package for statistical data analysis and applied mathematics AtteStat is an add-in for desktop versions of the Microsoft Excel spreadsheets. Both 32-bit and 64-bit in one package. The combination of the unsurpassed convenience of spreadsheets and the effective interception of Microsoft Excel exceptions (frontend) and the maximum speed of the C++ programming language (backend). Winner of contest Microsoft Office Extensions (PC Magazine RE) in 2006.... -
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pySDAR
An implmenetation of the ASTM E3076-18 Standard
... record. The method assumes that there is a linear region early in the test record where the value of the y variable increases roughly in proportion to the x variable and the slope of the record decreases after the linear region. The practice determines the best linear fit to the data based on the least normalized residual and provides metrics for evaluating the quality of the test record and the quality of the resultant fit. Sponsored by Naval Nuclear Laboratory and the ASTM E3076 committee -
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KherveFitting
Open source software to fit Xray photoelectron spectroscopy (XPS) data
KherveFitting is a fully Open Source XPS Fitting software that is simple , snappy, easy to use and available across all platforms (Windows, Mac OS, Linux). The software is written in Python using well known libraries: Numpy, lmfit, matplotlib, panda. KherveFitting can open Excel files (.xlsx) or import/convert VAMAS files (.vms) into Excel format. Four background types available: Linear, Shirley, Smart, Adaptive Smart. Drag the red lines on the plot to set the background range. Fit... -
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SpectralWorks
View, manipulate, analyze (LS fit, SVD, FT), and make figs of, spectra
Program for viewing, editing, manipulating, and analyzing absorbance spectra. Simple arithnetic includes making linear combinatins of up to 10 spectra. Advanced functions include fitting spectra as LC of standard basis spectra, singular value decomposition, Fourier transform, differentiation, integration, global fitting of 3D titration and kinetic data. Graphics features allow composing Figures and export to postscript files which can be converted to pdf, imported into photoshop... -
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AlphaPlot
Interactive scientific graphing and data analysis software.
Alpha Plot can generate different types of 2D and 3D plots (such as line, scatter, bar, pie, and surface plots) from data that is either imported from ASCII files, entered by hand, or calculated using formulas. The data is held in spreadsheets which are referred to as tables with column-based data (typically X and Y values for 2D plots) or matrices (for 3D plots). The spreadsheets as well as graphs and note windows are gathered in a project and can be organized using folders. The built-in... -
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QtiPlot is a user-friendly, platform independent data analysis and visualization application similar to the non-free Windows program Origin.
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GDINA Package for Cognitively Diagnostic
Package for Cognitively Diagnostic Analyses
Estimating G-DINA model and a variety of widely-used models subsumed by the G-DINA model, including the DINA model, DINO model, additive-CDM (A-CDM), linear logistic model (LLM), reduced reparametrized unified model (RRUM), multiple-strategy DINA model for dichotomous responses. Estimating models within the G-DINA model framework using user-specified design matrix and link functions. Estimating Bugs-DINA, DINO and G-DINA models for dichotomous responses. Estimating sequential G-DINA model... -
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LineFit
A straight forward linear data plotting application for education
LineFit is a simple open source program intended for academic use that allows users to fit lines to data that has both x and y error/uncertainty values. LineFit currently uses the Java 1.8 runtime and has been tested on Windows, Mac and Linux operating systems. -
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The Edge Machine Learning library
Machine learning algorithms for edge devices
Machine learning models for edge devices need to have a small footprint in terms of storage, prediction latency, and energy. One instance of where such models are desirable is resource-scarce devices and sensors in the Internet of Things (IoT) setting. Making real-time predictions locally on IoT devices without connecting to the cloud requires models that fit in a few kilobytes.These algorithms can train models for classical supervised learning problems with memory requirements that are orders... -
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TU Calc
Simple tool for numerical calculation
TU Calc is a modular tool that aims to gather numerical methods for solution of mathematical problems. Interacting with the user through a GUI that is analogous to the windows desktop. -
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Universal Java Matrix Package
sparse and dense matrix, linear algebra, visualization, big data
The Universal Java Matrix Package (UJMP) is an open source Java library which provides sparse and dense matrix classes, as well as a large number of calculations for linear algebra such as matrix multiplication or matrix inverse. Operations such as mean, correlation, standard deviation, replacement of missing values or the calculation of mutual information are supported, too. The Universal Java Matrix Package provides various visualization methods, import and export filters for a large... -
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miRNA Temporal Analyzer (mirnaTA)
Differential expression analysis tool for miRNAs in temporal studies
..., and the normalized data is analyzed using linear regression model to locate any miRNAs which are differentially expressed in a linear manner. Any miRNAs with P-value<0.05 are considered statistically significant. Remaining miRNAs which did not fit in linear model are further analyzed in two different methods: (1) if the number of time points <3, CDF of the normal distribution, and (2) if the number of time points is >= 3, ANOVA is utilized. http://www.gigasciencejournal.com/content/3/1/20 -
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Customizable software to smoothly fit non-linear, high-dimensional data. SDK in C with C++ wrappers, plus demo applications (all under LGPL). Versions under Windows and Linux already operational. Further progress depends on your imagination!
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XYmath
XYmath is a GUI that creates, documents and explores y=f(x) curve fits
XYmath will find the "best" curve fit using either minimum percent error or minimum total error. It can search through common equations, an exhaustive search through thousands of equations, splines, smoothed splines, or non-linear equations input by the user. After fitting, XYmath will find roots, minima, maxima, derivatives or integrals of the curve. It will generate source code that documents and evaluates the fit in python, FORTRAN or EXCEL. Configurable plots are created using... -
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An open source program that has the ability to graph data collected from scientific experiments. It will fit a variety of linear and non-linear regressions to data and will have the ability to save and print graphs.
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Least-Squares Bezier Fit
Small program for fitting a Bezier curve to a sequence of points
This program uses a least-squares approach, similar to linear regression, for fitting a Bezier curve to a sequence of Cartesian coordinate points. This project requires the UJMP package which is freely available online here https://sourceforge.net/projects/ujmp/. For an explanation of the math behind this code please check out my blog post: http://jimherold.com/2012/04/20/least-squares-bezier-fit/ -
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repeat_esp
Repeating electrostatic potential extracted atomic charges
REPEAT provides a best fit to an ab initio electrostatic potential (ESP) by solving a system of linear equations to minimize an error functional between the DFT ESP and an esp derived from point charges located at atomic centres.
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