Will sklearn lasso automatically run in parallel?












0















I want to run a lasso regression using sklearn.linear_model.Lasso module in parallel.



The bash script I use for submitting the job is something like this



#!/bin/bash
#SBATCH --partition=the_partition
#SBATCH --nodes=2
#SBATCH --ntasks=56
python lasso_script.py


The relevant part in lasso_script.py is



Lasso(alpha=0.1, copy_X=True, fit_intercept=True, max_iter=1000,
normalize=False, positive=False, precompute=False, random_state=None,
selection='cyclic', tol=0.0001, warm_start=False)


If I submit the job by using the script will the lasso regression automatically run in parallel?










share|improve this question





























    0















    I want to run a lasso regression using sklearn.linear_model.Lasso module in parallel.



    The bash script I use for submitting the job is something like this



    #!/bin/bash
    #SBATCH --partition=the_partition
    #SBATCH --nodes=2
    #SBATCH --ntasks=56
    python lasso_script.py


    The relevant part in lasso_script.py is



    Lasso(alpha=0.1, copy_X=True, fit_intercept=True, max_iter=1000,
    normalize=False, positive=False, precompute=False, random_state=None,
    selection='cyclic', tol=0.0001, warm_start=False)


    If I submit the job by using the script will the lasso regression automatically run in parallel?










    share|improve this question



























      0












      0








      0








      I want to run a lasso regression using sklearn.linear_model.Lasso module in parallel.



      The bash script I use for submitting the job is something like this



      #!/bin/bash
      #SBATCH --partition=the_partition
      #SBATCH --nodes=2
      #SBATCH --ntasks=56
      python lasso_script.py


      The relevant part in lasso_script.py is



      Lasso(alpha=0.1, copy_X=True, fit_intercept=True, max_iter=1000,
      normalize=False, positive=False, precompute=False, random_state=None,
      selection='cyclic', tol=0.0001, warm_start=False)


      If I submit the job by using the script will the lasso regression automatically run in parallel?










      share|improve this question
















      I want to run a lasso regression using sklearn.linear_model.Lasso module in parallel.



      The bash script I use for submitting the job is something like this



      #!/bin/bash
      #SBATCH --partition=the_partition
      #SBATCH --nodes=2
      #SBATCH --ntasks=56
      python lasso_script.py


      The relevant part in lasso_script.py is



      Lasso(alpha=0.1, copy_X=True, fit_intercept=True, max_iter=1000,
      normalize=False, positive=False, precompute=False, random_state=None,
      selection='cyclic', tol=0.0001, warm_start=False)


      If I submit the job by using the script will the lasso regression automatically run in parallel?







      python scikit-learn slurm






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Dec 31 '18 at 3:27









      Rohan Nadagouda

      265313




      265313










      asked Nov 24 '18 at 2:18









      meTchaikovskymeTchaikovsky

      186110




      186110
























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          No. It does not run on multiple threads I believe






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          • Do you have any source or concrete reason for your belief?

            – Mad Physicist
            Dec 31 '18 at 3:28













          • github.com/scikit-learn/scikit-learn/blob/master/sklearn/…

            – David
            Jan 3 at 18:56











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          1 Answer
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          active

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          0














          No. It does not run on multiple threads I believe






          share|improve this answer
























          • Do you have any source or concrete reason for your belief?

            – Mad Physicist
            Dec 31 '18 at 3:28













          • github.com/scikit-learn/scikit-learn/blob/master/sklearn/…

            – David
            Jan 3 at 18:56
















          0














          No. It does not run on multiple threads I believe






          share|improve this answer
























          • Do you have any source or concrete reason for your belief?

            – Mad Physicist
            Dec 31 '18 at 3:28













          • github.com/scikit-learn/scikit-learn/blob/master/sklearn/…

            – David
            Jan 3 at 18:56














          0












          0








          0







          No. It does not run on multiple threads I believe






          share|improve this answer













          No. It does not run on multiple threads I believe







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 24 '18 at 2:30









          DavidDavid

          30819




          30819













          • Do you have any source or concrete reason for your belief?

            – Mad Physicist
            Dec 31 '18 at 3:28













          • github.com/scikit-learn/scikit-learn/blob/master/sklearn/…

            – David
            Jan 3 at 18:56



















          • Do you have any source or concrete reason for your belief?

            – Mad Physicist
            Dec 31 '18 at 3:28













          • github.com/scikit-learn/scikit-learn/blob/master/sklearn/…

            – David
            Jan 3 at 18:56

















          Do you have any source or concrete reason for your belief?

          – Mad Physicist
          Dec 31 '18 at 3:28







          Do you have any source or concrete reason for your belief?

          – Mad Physicist
          Dec 31 '18 at 3:28















          github.com/scikit-learn/scikit-learn/blob/master/sklearn/…

          – David
          Jan 3 at 18:56





          github.com/scikit-learn/scikit-learn/blob/master/sklearn/…

          – David
          Jan 3 at 18:56


















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