DSWE

Contents:

  • Getting Started with DSWE
  • AMK
  • BayesTreePowerCurve
  • ComparePCurve
  • CovMatch
  • DNNPowerCurve
  • FunGP
  • KNNPowerCurve
  • SVMPowerCurve
  • TempGP
  • Jupyter Notebooks
DSWE
  • »
  • Index

Index

A | B | C | D | F | K | M | P | S | T | U

A

  • AMK (class in dswe.AMK)

B

  • BayesTreePowerCurve (class in dswe.bayes_tree)

C

  • calculate_rmse() (dswe.dnn.DNNPowerCurve method)
  • ComparePCurve (class in dswe.comparePCurve)
  • compute_weighted_difference() (dswe.comparePCurve.ComparePCurve method)
  • CovMatch (class in dswe.covmatch)

D

  • DNNPowerCurve (class in dswe.dnn)
  • dswe.AMK
    • module
  • dswe.bayes_tree
    • module
  • dswe.comparePCurve
    • module
  • dswe.covmatch
    • module
  • dswe.dnn
    • module
  • dswe.funGP
    • module
  • dswe.knn
    • module
  • dswe.svm
    • module
  • dswe.tempGP
    • module

F

  • fit() (dswe.bayes_tree.BayesTreePowerCurve method)
    • (dswe.knn.KNNPowerCurve method)
    • (dswe.svm.SVMPowerCurve method)
    • (dswe.tempGP.TempGP method)
  • FunGP (class in dswe.funGP)

K

  • KNNPowerCurve (class in dswe.knn)

M

  • module
    • dswe.AMK
    • dswe.bayes_tree
    • dswe.comparePCurve
    • dswe.covmatch
    • dswe.dnn
    • dswe.funGP
    • dswe.knn
    • dswe.svm
    • dswe.tempGP

P

  • predict() (dswe.bayes_tree.BayesTreePowerCurve method)
    • (dswe.dnn.DNNPowerCurve method)
    • (dswe.knn.KNNPowerCurve method)
    • (dswe.svm.SVMPowerCurve method)
    • (dswe.tempGP.TempGP method)

S

  • SVMPowerCurve (class in dswe.svm)

T

  • TempGP (class in dswe.tempGP)
  • train() (dswe.dnn.DNNPowerCurve method)

U

  • update() (dswe.knn.KNNPowerCurve method)
    • (dswe.tempGP.TempGP method)

© Copyright 2022, Pratyush Kumar, Abhinav Prakash, and Yu Ding.

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