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ANNZ v2.1.1
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@IftachSadeh IftachSadeh released this 15 Jan 17:53
· 39 commits to master since this release
v2.1.1
eb0db4f

  • Fixed bug in generating a name for an internal TF1 function in ANNZ::setupKdTreeKNN().

  • Fixed bug in plotting routine from ANNZ::doMetricPlots(), when adding user-requested variables which are not floats.

  • Added the option,

    glob.annz["optimWithMAD"] = False

    If set to True, then the MAD (median absolute deviation) is used, instead of the 68th percentile of the bias (sigma_68). This affects only the selection of the "best" MLM and the PDF optimization procedure in randomized regression. See scripts/generalSettings.py.

  • Added the option,

    glob.annz["optimWithScaledBias"] = False

    If set to True, then instead of the bias, delta == zReg-zTrg, the expression deltaScaled == delta/(1+zTrg) is used, where zReg is the estimated result of the MLM/PDF and zTrg is the true (target) value. This affects only the selection of the "best" MLM and the PDF optimization procedure in randomized regression. E.g., one can set this parameter in order to minimize the value of deltaScaled instead of the value of delta, or correspondingly the value of the scatter of deltaScaled instead of that of delta. The selection criteria for prioritizing the bias or the scatter remains the parameter glob.annz["optimCondReg"]. The latter can take the value bias (for delta or deltaScaled), sig68 (for the scatter of delta or of deltaScaled), and fracSig68 (for the outlier fraction of delta or of deltaScaled). See scripts/generalSettings.py.

  • Added the option,

    glob.annz["plotWithScaledBias"] = False

    If set to True, then instead of the bias, delta == zReg-zTrg, the expression delta/(1+zTrg) is used. This affects only the figures generated with the plotting routine, ANNZ::doMetricPlots(), and does not change any of the optimization/output of the code. See scripts/generalSettings.py.

  • Added option to set the PDF bins in randomized regression by the width of the bins, instead of by the number of the bins. That is, one can now set e.g.,

    glob.annz["pdfBinWidth"] = 0.01

    instead of e.g.,

    glob.annz["nPDFbins"] = 100

    Assuming the regression range is [minValZ,maxValZ] = [0,1.5], the first option will lead to 150 PDF bins of width 0.01, while the second will result in 100 bins of width 0.015. The two options are mutually exclusive (the user should define only one or the other).

  • For developers: Changed internal key-word interface in Utils::getInterQuantileStats() for requesting a MAD calculation: to add the calculation - changed from medianAbsoluteDeviation to getMAD; to retrieve the result of the calculation - from quant_medianAbsoluteDeviation to quant_MAD.

  • Other minor modifications.

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