Closed Madcap3000 closed 1 year ago
The ability to do it is there now - implemented on the backend and accessed by the frontend, the only thing that is left to implement (the core part of the idea, really) is the diff-view.
At the moment, the backend offers the following API for Cloud and Sample manipulation:
/* Returns the available cloud names */
Monitor.cloudKeys()
/* Returns the cloud-object given the name */
Monitor["name"]
Monitor.get("name")
/* Create an empty cloud given the name */
Monitor.cloud("name")
/* Check whether a cloud with the given name exists */
Monitor.contains("name")
"name" in Monitor
/* Returns the available cache/sample keys */
Monitor.cacheKeys()
/* Returns a (null, if not present) value corresponding to the sample name */
Monitor.loadFromCache("name")
/* Add a data entry to the 'cache', which contains all (even 'classified') entries and acts a SSoT */
Monitor.addToCache("name", data)
/* Remove from Cache (not from potential classes, if classified) */
Monitor.removeFromCache("name")
Have the ability to compare the prior AI state to the state after adding new data points to cloud and be able to judge the result or improve it