Showing 4 open source projects for "non linear"

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  • 1
    Prophet

    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. ...
    Downloads: 6 This Week
    Last Update:
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  • 2
    Data Envelopment Analysis using Stata

    Data Envelopment Analysis using Stata

    Develop a user written Data Envelopment Analysis package in Stata.

    The goal of this project is to develop a Data Envelopment Analysis(DEA) program using Stata programming language. This is the replacement of "deastata" project that we maintained for the purpose of version management. We call the program package "DEAS" which stands for Data Envelopment Analysis using Stata. DEAS covers the basic models of DEA and extensions including CCR, BCC, SBM, Super-efficiency Model, Allocative Model(Profit, Revenue, Cost), (Global) Malmquist Productivity Index...
    Downloads: 10 This Week
    Last Update:
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  • 3
    DSTK - Data Science TooKit 3

    DSTK - Data Science TooKit 3

    Data and Text Mining Software for Everyone

    DSTK - Data Science Toolkit 3 is a set of data and text mining softwares, following the CRISP DM model. DSTK offers data understanding using statistical and text analysis, data preparation using normalization and text processing, modeling and evaluation for machine learning and algorithms. It is based on the old version DSTK at https://sourceforge.net/projects/dstk2/ DSTK Engine is like R. DSTK ScriptWriter offers GUI to write DSTK script. DSTK Studio offers SPSS Statistics like GUI...
    Downloads: 0 This Week
    Last Update:
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  • 4
    Cenobi

    Cenobi

    cost estimation and management accounting, using neural networks

    ...Carefully arranged default settings make sure you can concentrate on Cenobi's many accounting features rather than worrying about setting up artificial neural networks or genetic algorithms, which are the main machine learning tools under Cenobi's hood. Cenobi's main benefits are: - ease of use - Utilizing artificial neural networks to estimate cost relationships, Cenobi is able to reflect the non-linear cost-behavior, that occurs in most business processes. - This makes your cost estimations more accurate and reliable. - Therefore Cenobi facilitates better informed management decisions. Although Cenobi is particularly suitable for management accounting purposes, it can also be used as a general machine learning tool. ...
    Downloads: 0 This Week
    Last Update:
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