Body: <p>I was working on a project involving the search for biosignatures (signs of life) on exoplanets and the probability of that planet harboring life. In this case, we know that Earth is the only planet confirmed to have life on it. So the parameters of atmospheric conditions, radius, temperature, distance from the star for planets confirmed to have life is one (Earth).</p>
  <p>Is there any way to use NNs to predict the probability of an exoplanet harboring life if we have the data of all these parameters for that planet?</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2020-09-08T17:18:59.980Z
Comments.Text: @DuttaA thanks for the insight. I too think the same. I doubt that there's any substantial way to achieve it, given that the data we have is insufficient
Comments.UserDisplayName: Niranjan Dindodi
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2020-09-08T18:41:10.350Z
Comments.Text: https://exoplanetarchive.ipac.caltech.edu/cgi-bin/FDL/nph-fdl?atmos
  Turns out that astrobiologists at SETI and NASA have come up with a dataset with simulated stable atmospheres for Earth-like exoplanets that might allow them to harbour life. This would probably be the only way to solve the one data point problem
Comments.UserDisplayName: Niranjan Dindodi
Tags: <neural-networks><deep-learning>
Title: Is there any way where you can train a Neural Network with only one data point in the dataset?
UserDisplayName: Niranjan Dindodi
ThreadText: # Is there any way where you can train a Neural Network with only one data point in the dataset?
  
  (Asked by: username_0 on 2020-09-08)
  
  I was working on a project involving the search for biosignatures (signs of life) on exoplanets and the probability of that planet harboring life. In this case, we know that Earth is the only planet confirmed to have life on it. So the parameters of atmospheric conditions, radius, temperature, distance from the star for planets confirmed to have life is one (Earth).
  
  Is there any way to use NNs to predict the probability of an exoplanet harboring life if we have the data of all these parameters for that planet?
  
  **Tags:** neural-networks, deep-learning
  > **Comments:**
  > **username_0**: @DuttaA thanks for the insight. I too think the same. I doubt that there's any substantial way to achieve it, given that the data we have is insufficient  
  > **username_0**: https://exoplanetarchive.ipac.caltech.edu/cgi-bin/FDL/nph-fdl?atmos Turns out that astrobiologists at SETI and NASA have come up with a dataset with simulated stable atmospheres for Earth-like exoplanets that might allow them to harbour life. This would probably be the only way to solve the one data point problem  
  
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  ## 0 answers
  
  