What models do Create ML and Turi Create use












1












$begingroup$


I'm taking a course on Apple's machine learning technologies. I just came across this paragraph:




Turi Create and Create ML are task-specific, rather than
model-specific. This means that you specify the type of problem you
want to solve, rather than choosing the type of model you want to use.
You select the task that matches the type of problem you want to
solve, then Turi Create analyzes your data and chooses the right model
for the job.




My question is when you select a task like binary image classification, and Create ML / Turi Create selects an appropriate model for you, what models does it have at its disposal. Aren't there MANY models in the market that do this? Did Apple simply pick the one they thought was best?



Thanks!










share|improve this question









$endgroup$

















    1












    $begingroup$


    I'm taking a course on Apple's machine learning technologies. I just came across this paragraph:




    Turi Create and Create ML are task-specific, rather than
    model-specific. This means that you specify the type of problem you
    want to solve, rather than choosing the type of model you want to use.
    You select the task that matches the type of problem you want to
    solve, then Turi Create analyzes your data and chooses the right model
    for the job.




    My question is when you select a task like binary image classification, and Create ML / Turi Create selects an appropriate model for you, what models does it have at its disposal. Aren't there MANY models in the market that do this? Did Apple simply pick the one they thought was best?



    Thanks!










    share|improve this question









    $endgroup$















      1












      1








      1





      $begingroup$


      I'm taking a course on Apple's machine learning technologies. I just came across this paragraph:




      Turi Create and Create ML are task-specific, rather than
      model-specific. This means that you specify the type of problem you
      want to solve, rather than choosing the type of model you want to use.
      You select the task that matches the type of problem you want to
      solve, then Turi Create analyzes your data and chooses the right model
      for the job.




      My question is when you select a task like binary image classification, and Create ML / Turi Create selects an appropriate model for you, what models does it have at its disposal. Aren't there MANY models in the market that do this? Did Apple simply pick the one they thought was best?



      Thanks!










      share|improve this question









      $endgroup$




      I'm taking a course on Apple's machine learning technologies. I just came across this paragraph:




      Turi Create and Create ML are task-specific, rather than
      model-specific. This means that you specify the type of problem you
      want to solve, rather than choosing the type of model you want to use.
      You select the task that matches the type of problem you want to
      solve, then Turi Create analyzes your data and chooses the right model
      for the job.




      My question is when you select a task like binary image classification, and Create ML / Turi Create selects an appropriate model for you, what models does it have at its disposal. Aren't there MANY models in the market that do this? Did Apple simply pick the one they thought was best?



      Thanks!







      machine-learning-model






      share|improve this question













      share|improve this question











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      share|improve this question










      asked yesterday









      Martin MuldoonMartin Muldoon

      1243




      1243






















          1 Answer
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          $begingroup$

          TuriCreate has several different models implemented. You can either use them specifically or you can use a create method which will analyze your data and pick one of them (not always the same one).



          For instance in binary classification (not image) there is support for random forest, decision tree, boosted trees, logistic regression, SVMs and nearest neighbor.



          I don't know exactly how it makes the selection, but I imagine it has a lot to do with the dimensions of your data.






          share|improve this answer









          $endgroup$













          • $begingroup$
            Excellent! Thanks!
            $endgroup$
            – Martin Muldoon
            yesterday











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          1 Answer
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          active

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          $begingroup$

          TuriCreate has several different models implemented. You can either use them specifically or you can use a create method which will analyze your data and pick one of them (not always the same one).



          For instance in binary classification (not image) there is support for random forest, decision tree, boosted trees, logistic regression, SVMs and nearest neighbor.



          I don't know exactly how it makes the selection, but I imagine it has a lot to do with the dimensions of your data.






          share|improve this answer









          $endgroup$













          • $begingroup$
            Excellent! Thanks!
            $endgroup$
            – Martin Muldoon
            yesterday
















          3












          $begingroup$

          TuriCreate has several different models implemented. You can either use them specifically or you can use a create method which will analyze your data and pick one of them (not always the same one).



          For instance in binary classification (not image) there is support for random forest, decision tree, boosted trees, logistic regression, SVMs and nearest neighbor.



          I don't know exactly how it makes the selection, but I imagine it has a lot to do with the dimensions of your data.






          share|improve this answer









          $endgroup$













          • $begingroup$
            Excellent! Thanks!
            $endgroup$
            – Martin Muldoon
            yesterday














          3












          3








          3





          $begingroup$

          TuriCreate has several different models implemented. You can either use them specifically or you can use a create method which will analyze your data and pick one of them (not always the same one).



          For instance in binary classification (not image) there is support for random forest, decision tree, boosted trees, logistic regression, SVMs and nearest neighbor.



          I don't know exactly how it makes the selection, but I imagine it has a lot to do with the dimensions of your data.






          share|improve this answer









          $endgroup$



          TuriCreate has several different models implemented. You can either use them specifically or you can use a create method which will analyze your data and pick one of them (not always the same one).



          For instance in binary classification (not image) there is support for random forest, decision tree, boosted trees, logistic regression, SVMs and nearest neighbor.



          I don't know exactly how it makes the selection, but I imagine it has a lot to do with the dimensions of your data.







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered yesterday









          Simon LarssonSimon Larsson

          4316




          4316












          • $begingroup$
            Excellent! Thanks!
            $endgroup$
            – Martin Muldoon
            yesterday


















          • $begingroup$
            Excellent! Thanks!
            $endgroup$
            – Martin Muldoon
            yesterday
















          $begingroup$
          Excellent! Thanks!
          $endgroup$
          – Martin Muldoon
          yesterday




          $begingroup$
          Excellent! Thanks!
          $endgroup$
          – Martin Muldoon
          yesterday


















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