代码搜索：Modelling

找到约 315 项符合「Modelling」的源代码

代码结果 315
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f90 radar2d4.f90

program radar2d4 ! !******************************************************************** !* SPLIT-STEP 2D GPR MODELLING * !* After Grandjean, G.and Du
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py tree1.py

# Author: J Zabkar # Version: 1.0 # Description: Demostration of use of orngTree module: prin out # a tree in text and dot format # Category: modelling # Uses: iri
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py domain10.py

# Description: A simple implementation of wrapper feature subset selection # Category: modelling # Uses: voting # Classes: Domain, orngTest.crossValidation # Referenced: domain.htm
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py regression2.py

# Description: Builds regression models from data and outputs predictions for first five instances # Category: modelling # Uses: housing # Classes: MakeRandomIndices2, MajorityLearner
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readme

Demos for Sugoupillaud -- Synthetic seismograms by Goupillaud modelling Author: Albena Mateeva, Spring 2001. Demo shell scripts in this directory: BuriedSource - synthetic for buried source DisplVS
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tex command.tex

\section{\class{wxCommand}}\label{wxcommand} wxCommand is a base class for modelling an application command, which is an action usually performed by selecting a menu item, pressing a toolbar butt
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py domain9.py

# Description: A simple implementation of wrapper feature subset selection # Category: modelling # Uses: imports-85 # Classes: Domain, orngTest.crossValidation # Referenced: domain.
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py domain13.py

# Description: Adds two new numerical attributes to iris data set, and tests through cross validation if this helps in boosting classification accuracy # Category: modelling # Uses: iris
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py regression1.py

# Description: Builds a regression tree and prints it out # Category: modelling # Uses: housing # Classes: orngTree.TreeLearner # Referenced: regression.htm import orange, orngTr
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py ensemble2.py

# Description: Example of how to build ensamble learners in Orange. Takes a list of learners, and for prediction uses the highest predicted class probability. # Category: modelling # Uses:
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