ML IALGO LINREG: Difference between revisions
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{{TAGDEF|ML_IALGO_LINREG|[integer]|1}} | {{TAGDEF|ML_IALGO_LINREG|[integer]|1}} | ||
Description: This tag determines | Description: This tag determines with which algorithm to solve the system of linear equations in the ridge regression method for machine learning. | ||
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Revision as of 18:30, 12 October 2021
ML_IALGO_LINREG = [integer]
Default: ML_IALGO_LINREG = 1
Description: This tag determines with which algorithm to solve the system of linear equations in the ridge regression method for machine learning.
The following options are available:
- ML_IALGO_LINREG=1: Bayesian linear regression (see here). Usable with NSW1.
- ML_IALGO_LINREG=2: QR factorization. Usable with NSW=0,1.
- ML_IALGO_LINREG=3: Singular value decomposition. Usable with NSW=0,1.
- ML_IALGO_LINREG=4: Singular value decomposition with Tikhonov regularization. Usable with NSW=0,1.
Related Tags and Sections
ML_LMLFF, ML_W1, ML_WTOTEN, ML_WTIFOR, ML_WTSIF, ML_ISTART