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    <title>topic I want to use LASSO and Group LASSO in JMP in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/I-want-to-use-LASSO-and-Group-LASSO-in-JMP/m-p/82394#M37134</link>
    <description>&lt;P&gt;I'm involved in a project where we are applying lasso to build a logistic regression model from a "black box" set of predictors.&amp;nbsp; I need to get JMP Pro before trying out JMP's implementation.&amp;nbsp; I'm doing all the analysis in R at present.&amp;nbsp; Does JMP Pro also include group lasso?&amp;nbsp; I've found through using JMP Cluster Variables (CLUSVAR) that I can naturally group my predictors prior to group lasso.&amp;nbsp; For those who may have used group lasso, is this a reasonable approach?&amp;nbsp; In the literature seemingly all group lasso descriptions assume some a priori knowledge of the correlation structure of the predictors, often defining a cluster as the base covariate and a set of nonlinear transformations on it (x, x^2, x^3).&amp;nbsp; In my case all the clusters are essentially latent, yet the correlation structure is revealed with Cluster Variables.&lt;/P&gt;</description>
    <pubDate>Fri, 02 Nov 2018 14:43:51 GMT</pubDate>
    <dc:creator>gene</dc:creator>
    <dc:date>2018-11-02T14:43:51Z</dc:date>
    <item>
      <title>I want to use LASSO and Group LASSO in JMP</title>
      <link>https://community.jmp.com/t5/Discussions/I-want-to-use-LASSO-and-Group-LASSO-in-JMP/m-p/82394#M37134</link>
      <description>&lt;P&gt;I'm involved in a project where we are applying lasso to build a logistic regression model from a "black box" set of predictors.&amp;nbsp; I need to get JMP Pro before trying out JMP's implementation.&amp;nbsp; I'm doing all the analysis in R at present.&amp;nbsp; Does JMP Pro also include group lasso?&amp;nbsp; I've found through using JMP Cluster Variables (CLUSVAR) that I can naturally group my predictors prior to group lasso.&amp;nbsp; For those who may have used group lasso, is this a reasonable approach?&amp;nbsp; In the literature seemingly all group lasso descriptions assume some a priori knowledge of the correlation structure of the predictors, often defining a cluster as the base covariate and a set of nonlinear transformations on it (x, x^2, x^3).&amp;nbsp; In my case all the clusters are essentially latent, yet the correlation structure is revealed with Cluster Variables.&lt;/P&gt;</description>
      <pubDate>Fri, 02 Nov 2018 14:43:51 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/I-want-to-use-LASSO-and-Group-LASSO-in-JMP/m-p/82394#M37134</guid>
      <dc:creator>gene</dc:creator>
      <dc:date>2018-11-02T14:43:51Z</dc:date>
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