Lasso - meaning and definition. What is Lasso
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What (who) is Lasso - definition


Lasso (statistics)         
  • An example how efficient PQSQ regularized regression works just as <math> \ell^1 </math>-norm lasso.<ref name="EMgithub"/>
  • An example of a PQSQ (piece-wise quadratic function of subquadratic growth) potential function <math>u(x)</math>; here the majorant function is <math>f(x)=x</math>; the potential is defined with trimming after <math>r_3</math>.
  • Solution paths for the <math>\ell_1</math> norm and <math>\ell_2</math> norm when <math>b_{OLS}=2</math> and <math>\beta_{0}=0</math>
STATISTICAL METHOD
Lasso regression; LASSO; Least Absolute Shrinkage and Selection Operator; L1-penalized regression; L1 loss
In statistics and machine learning, lasso (least absolute shrinkage and selection operator; also Lasso or LASSO) is a regression analysis method that performs both variable selection and regularization in order to enhance the prediction accuracy and interpretability of the resulting statistical model. It was originally introduced in geophysics, and later by Robert Tibshirani, who coined the term.
Lasso         
  • An example how efficient PQSQ regularized regression works just as <math> \ell^1 </math>-norm lasso.<ref name="EMgithub"/>
  • An example of a PQSQ (piece-wise quadratic function of subquadratic growth) potential function <math>u(x)</math>; here the majorant function is <math>f(x)=x</math>; the potential is defined with trimming after <math>r_3</math>.
  • Solution paths for the <math>\ell_1</math> norm and <math>\ell_2</math> norm when <math>b_{OLS}=2</math> and <math>\beta_{0}=0</math>
STATISTICAL METHOD
Lasso regression; LASSO; Least Absolute Shrinkage and Selection Operator; L1-penalized regression; L1 loss
·vt To catch with a lasso.
II. Lasso ·noun A rope or long thong of leather with, a running noose, used for catching horses, cattle, ·etc.
Lasso         
  • An example how efficient PQSQ regularized regression works just as <math> \ell^1 </math>-norm lasso.<ref name="EMgithub"/>
  • An example of a PQSQ (piece-wise quadratic function of subquadratic growth) potential function <math>u(x)</math>; here the majorant function is <math>f(x)=x</math>; the potential is defined with trimming after <math>r_3</math>.
  • Solution paths for the <math>\ell_1</math> norm and <math>\ell_2</math> norm when <math>b_{OLS}=2</math> and <math>\beta_{0}=0</math>
STATISTICAL METHOD
Lasso regression; LASSO; Least Absolute Shrinkage and Selection Operator; L1-penalized regression; L1 loss
A lasso ( or ), also called lariat, riata, or reata (all from Castilian, la reata 're-tied rope'), is a loop of rope designed as a restraint to be thrown around a target and tightened when pulled. It is a well-known tool of the Spanish and Mexican cowboy, then adopted by the cowboys of the United States.
Examples of use of Lasso
1. And the pretty lasso has some interesting projects to boot.
2. The Panamanian pilot Edwin Lasso, 23, was also killed.
3. The body of pilot Edwin Lasso, who crashed in bad weather, was also recovered.
4. "But before we got married you bought the lasso, didn‘t you?" says Jim.
5. It climb over an air conditioning unit as an officer with a rope tried to lasso it.