Currently Incapy requires a physical file saved to some kind of persistent storage.
This means after doing an analysis all data has to be gathered and actually written to a hard disk and then be read again by Incapy. This makes exploratory data analysis harder than it should be.
With Elephant (NeuralEnsemble/Elephant) currently starting to implement own data structures for analysis results, it would be good to implement such a data structure for correlation data that can then be processed by Incapy directly. This removes the additional steps and also enables manual preprocessing of the data.
This could also benefit the integration into the online analysis workflow that is currently in development.
Note: This creates an optional dependency to Elephant.
Currently Incapy requires a physical file saved to some kind of persistent storage. This means after doing an analysis all data has to be gathered and actually written to a hard disk and then be read again by Incapy. This makes exploratory data analysis harder than it should be. With Elephant (NeuralEnsemble/Elephant) currently starting to implement own data structures for analysis results, it would be good to implement such a data structure for correlation data that can then be processed by Incapy directly. This removes the additional steps and also enables manual preprocessing of the data.
This could also benefit the integration into the online analysis workflow that is currently in development.
Note: This creates an optional dependency to Elephant.