Search Results for "regression" - Page 11
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Showing 358 open source projects for "regression"
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GPS Interactive Time Series Analysis
A software for processing and analyzing time series in Earth Science
Along with calculating basic statistics and quality parameters such as mean and variance, the soft-ware is capable of importing and visualizing different standard time series formats, determining and removing jumps and outliers, and makes numerical and publication quality graphical outputs. Bivariate statistical analysis (including correlation coefficient and linear regression) and time series analysis (including auto and cross-spectral analysis, wavelet power spectrum, spectrogram and periodicities) form the main analysis features of the software. -
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JLWR
Java Locally weighted regression (JLWR)
Locally weighted regression (LWR) is a variation of the standard linear regression technique in which training points close to the query point have more influence over the fitted regression surface. Given a set of training points, linear regression ts the linear model that minimizes squared prediction error over the whole training set. source on git :https://github.com/ahrnazemi/jlwr This implicitly assumes that we know the global form of the underlying function that generated the data. -
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Implementation of regression in language F (aka PLATO). Able to read a Basic Action Theory file (in xml) and apply operations on it.
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LWPR
Locally Weighted Projection Regression (LWPR)
Locally Weighted Projection Regression (LWPR) is a fully incremental, online algorithm for non-linear function approximation in high dimensional spaces, capable of handling redundant and irrelevant input dimensions. At its core, it uses locally linear models, spanned by a small number of univariate regressions in selected directions in input space. A locally weighted variant of Partial Least Squares (PLS) is employed for doing the dimensionality reduction. -
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ConvNetJS
Deep learning in Javascript to train convolutional neural networks
...ConvNetJS is an implementation of Neural networks, together with nice browser-based demos. It currently supports common Neural Network modules (fully connected layers, non-linearities), classification (SVM/Softmax) and Regression (L2) cost functions, ability to specify and train Convolutional Networks that process images, and experimental Reinforcement Learning modules, based on Deep Q Learning. The library allows you to formulate and solve Neural Networks in Javascript. If you would like to add features to the library, you will have to change the code in src/ and then compile the library into the build/ directory. ... -
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Functional Mechanism
Regression Analysis under Differential Privacy
...The main idea is to enforce epsilon-differential privacy by perturbing the objective function of the optimization problem, rather than its results. Please cite the following paper if you choose to use this code: J. Zhang, Z. Zhang, X. Xiao, Y. Yang, and M. Winslett. Functional Mechanism: Regression Analysis under Differential Privacy. PVLDB 5(11):1364-1375, 2012. -
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cpR Chemical Pathology interface for R
A graphical user interface to R for use in Clinical Chemistry
This project is a graphical user interface to the R statistical programming language designed for use in Clinical Chemistry. It allows the user to perform Passing Bablok, Deming and Linear Regression and to produce high quality images in any file format for publication. The front end is written in Python 3.3 and PyQt4 and the form was designed using Qt4 Designer. The statistical analysis is written in R. The compiled binary was made with cx_freeze. This software is free and open-source. It is released under the GNU Public license and comes with absolutely no warranty. -
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CURRENNT
CUDA-enabled machine learning library for recurrent neural networks
CURRENNT is a machine learning library for Recurrent Neural Networks (RNNs) which uses NVIDIA graphics cards to accelerate the computations. The library implements uni- and bidirectional Long Short-Term Memory (LSTM) architectures and supports deep networks as well as very large data sets that do not fit into main memory. -
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miRNA Temporal Analyzer (mirnaTA)
Differential expression analysis tool for miRNAs in temporal studies
...The mirnaTA requires that users provide data from a minimum of two time points and analyze up to 20 time points. To normalize data and remove technical variability, Normal Quantile Transformation (NQT) was used, 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. ... -
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Java Machine Learning Library is a library of machine learning algorithms and related datasets. Machine learning techniques include: clustering, classification, feature selection, regression, data pre-processing, ensemble learning, voting, ...
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Kernel Adaptive Filtering Toolbox
a Matlab benchmarking toolbox for kernel adaptive filtering
...Visit https://github.com/steven2358/kafbox/ for the latest version.] A Matlab benchmarking toolbox for kernel adaptive filtering. Kernel adaptive filtering algorithms are online and adaptive regression algorithms based on kernels. They are suitable for nonlinear filtering, prediction, tracking and nonlinear regression in general. This toolbox includes algorithms, demos, and tools to compare their performance. See the included README file for a list of included algorithms and more details. If you use this toolbox in your research please cite: @inproceedings{vanvaerenbergh2013comparative, author = {Van Vaerenbergh, Steven and Santamar{\'i}a, Ignacio}, booktitle = {2013 IEEE Digital Signal Processing (DSP) Workshop and IEEE Signal Processing Education (SPE)}, title = {A Comparative Study of Kernel Adaptive Filtering Algorithms}, year = {2013}, note = {Software available at \url{https://github.com/steven2358/kafbox/}} } -
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Regression Suite
Test suite with unit regrssion and execution statistics
RegressionSuite is a software test suite that incorporates measurement of the startup lag, measurement of accurate execution times, generating execution statistics, customized input distributions, and processable regression specific details as part of the regular unit tests. Essentially, RegressionSuite provides the frame-work around which the individual unit regressors are invoked (and details and statistics collected). Unit regressors are grouped into named regressor sets (or modules), and regressors are created by implementing specific regressor interfaces. ... -
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Parallel GENSENG is a parallel implementation of the GENSENG software for detecting copy number variations from high-throughput sequencing data. This software runs exactly as the original code does, except that it utilizes multiple threads where possible. OpenMP was used for multi-threading so changes to the original code were minimal. For a demo, please download the sample data linked to below and follow the README from the tarball. Example read count...
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phcfM
R package for modelling anthropogenic deforestation
...It was named after the REDD+ pilot-project 'programme holistique de conservation des forêts à Madagascar'. phcfM includes two main functions: (i) demography(), to model the population growth with time in a hierarchical Bayesian framework using population census data and Gaussian linear mixed models and (ii) deforestation(), to model the deforestation process in a hierarchical Bayesian framework using land-cover change data and Binomial logistic regression models with variable time-intervals between land-cover observations. The two functions use embedded Gibbs samplers written in C++ with the Scythe statistical library to reduce computational time. -
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Statcato is a Java software application for elementary statistics. Its features include data and graph generation, probability distributions, descriptive statistics, confidence intervals, hypothesis tests, correlation, regression, and analysis of var
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FineSplice
Enhanced splice junction detection and estimation from RNA-Seq data
...Following alignment with TopHat2 using known transcript annotations, FineSplice takes as input the resulting BAM file and outputs a confident set of expressed splice junctions with the corresponding read counts. Potential false positives arising from spurious alignments are filtered out via a semi-supervised anomaly detection strategy based on logistic regression. Multiple mapping reads with a unique location after filtering are rescued and reallocated to the most reliable candidate location. FineSplice requires Python 2.x (>= 2.6) with the following modules installed: pysam (http://code.google.com/p/pysam/) and scikit-learn (http://scikit-learn.org/). For further details check out our publication: Nucl. ... -
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Handwritten Signature SDK
Java SDK useful to develop handwritten signature verification app
Handwritten Signature SDK supports: dynamic time wrapping (DTW), extended regression (ER), signature sampling, direction hash and features extraction: see wiki for more info. -
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The objective of this project is to make available an open-source version of our Multifactor Dimensionality Reduction (MDR) software. MDR is a nonparametric alternative to logistic regression for detecting and characterizing nonlinear interactions.
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RootFinder
Comprehensive implementation of a 1D RootFinder framework solution
...RootFinder achieves its design goal by implementing its functionality over several parts: - Root Finder Framework: Framework to accommodate bracketing/open convergence initialization, execution customization/configuration, iterative variate evolution, and search termination detection - Bracket Initialization Techniques - Open Method Convergence Zone Initialization Techniques - Iterative Open Methods - Newton-Raphson and Secant Methods - Iterative Bracketing Primitive Methods: Bisection, False Position, Quadratic Interpolation, Inverse Quadratic Interpolation, and Ridder - Iterative Bracketing Compound Methods: Brent's and Zheng's - Samples - Documentation - Regression Runs - Search Initialization Heuristics -
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splinelibrary
Building, calibrating, and evaluating different splines.
SplineLibrary implements the functionality behind spline design, spline constructions, customization, calibration, and evaluation of a wide variety of spline types and basis functions. - Spline Calibration Framework - Shape Preserving Spline Suite - Space Spline Curves - B Splines - Regression Splines - Tension Splines - Smoothing Splines - Interpolating Splines (Akima, Bessel, Hagan-West, Harmonic, Huynh-Le Floch, Hyman83, Hyman89, Kruger, Preuss, Van Leer Limiter) - Curvature/Length Penalizing Best Fit Splines - Spline Calibration - Spline Evaluation - Spline Extensions -
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MRHMMs
multivariate regression hidden Markov models
It includes a various hidden Markov models: regression, logistic regression, hidden Markov models, and emission probability density of a mixture of multivariate Normal distributions. Also available at https://github.com/yonoklee/MRHMMs Work in progress (Jun 20, 2021 - ) -
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Fast Matrix for Java
General purpose matrix utilities for Java in Parallel Computing
Fast Matrix for Java (fm4j) is a general-purpose matrix utility library for computing with dense matrices. fm4j encapsulated different underlying implementations and select the optimal one in run-time depending on the size of the input matrix. Moreover, fm4j employs Java (Tm) Concurrency to take advantage of the computation power of multi-cor processors. -
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ABM-Calibration-SensitivityAnalysis
Codes and Data for Calibration and Sensitivity Analysis of ABM
...Approximate Bayesian Computation b. Sensitivity Analysis: 1. Local SA 2. Morris Screening 3. DoE 4. Partial (Rank) Correlation Coefficient 5. Standardised (Rank) Regression Coefficient 6. Sobol' 7. eFAST 8. FANOVA Decomposition Have also a look on our other projects: http://www.uni-goettingen.de/de/315075.html -
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Excellent management of test cases can make the testing process efficient, and thus accelerates the software delivery. With the popularity of the JUnit testing framework in Java software testing, developers are aching for JUnit test case management aids in regression testing of Java software. Typically, most existing tools are based on the coverage information. However, coverage information may need extra efforts to obtain. To make things easy, we present an Eclipse IDE plug-in (named Jtop) for managing JUnit test cases in absence of coverage information. Jtop statically analyzes the tested program to perform automatic test case management including test case selection, test suite reduction and test case prioritization. ...
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Statistics modules in Perl Data Language, with a quick-start guide for non-PDL people. They make the PDL shell work like R, but with PDL threading (fast automatic iteration) of procedures including t-test, linear regression, and k-means clustering.
