Showing 4 open source projects for "logistic"

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    MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. * More info + downloads: https://mlpack.org * Git repo: https://github.com/mlpack/mlpack
    Downloads: 0 This Week
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  • 2
    FineSplice

    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. ...
    Downloads: 2 This Week
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  • 3
    DeDAY

    DeDAY

    MLE survival analysis: Gompertz, Weibull, Logistic and mixed morality.

    DeDAY (Demography Data Analyses) is a tool of analyzing demography data. It supports Gompertz, Weibull and Logistic distributions. DeDay also supports mixed mortality models based on these distribution such as the Gompertz-Makeham distribution. Distributions such as Gompertz describes only age-dependent mortality, which increases over time. Mixed mortality models, such as in Gompertz-Makeham distribution, consider a more general case where mortality is consist of both age-dependent and in-dependent mortality. ...
    Downloads: 2 This Week
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  • 4
    OpenDAS

    OpenDAS

    Open Data Acquisition System

    Project is migrated to GitHub: https://github.com/OpenDAS OpenDAS is an "Open Data Acquisition System" and a new software aimed at industry use. This is the easiest software to acquire data for industry and logistic, above all, this is a universal software. Why universal?, because OpenDAS has been thought as a universal acquisition system. It can be used to acquire data for any software or any combination of softwares. You can use data that come from an HR system, send data to an ERP system. You can mix data coming from two softwares in order to use them in a unified business procedure Brought to you by ASPerience: http://www.asperience.fr/pole-applicatifs-metiers/saisie-industrielle
    Downloads: 0 This Week
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