--
You received this message because you are subscribed to the Google Groups "matminer" group.
To unsubscribe from this group and stop receiving emails from it, send an email to matminer+u...@googlegroups.com.
To view this discussion on the web visit https://groups.google.com/d/msgid/matminer/c46e9d0b-7d99-4da1-8105-16eec8fe7007%40googlegroups.com.
Hello,We don't have any citations for the RadialDistributionFunction because there isn't a paper that emphasizes its use for ML and I'm not sure what paper introduced it in general.If you use the featurize function to compute the distribution function, it will produce a vector of values you can use as an input to an ML algorithm. Unless I misunderstand your question, it should not be necessary to reduce it to a single value to train a ML model with scikit-learn.I have an example using the Partial Radial Distribution function, but would not be able to send it to you until I'm back from travel. Would that be useful for you?Thanks,
Logan
On Tue, Aug 27, 2019, 9:31 AM genie <hemant...@gmail.com> wrote:
Are there any citations for RadialDistributionFunction featurizer? I'm looking to use dictionary returned by this featurizer to predict energy band gap values. But not sure how to reduce distances, distribution key( values for them are 200 length list ) values to single number so as to use in prediction.--Any pointers would be helpfulThank you in advance
You received this message because you are subscribed to the Google Groups "matminer" group.
To unsubscribe from this group and stop receiving emails from it, send an email to matm...@googlegroups.com.