As CPSign is now an Open Source project, it is fully possible to add your own improvements and extensions by making pull request on GitHub. Here we go through how you extend the code base with new functionality, whether it is a new nonconformity measure, metric or anything else.
CPSign is relying on the Java ServiceLoader for discovering classes that should be instantiated. The above link should provide enough information in how to write and make your custom additions available to CPSign. The following classes can be extended and discovered as services:
One example of providing such extensions is our CPSign-DL4J extension, which provides deep neural network implementations for CPSign.
Apart from all extensions available under ConfAI extensions above, at the chemistry level CPSign can be extended with custom descriptors by adding your implementations of the interface
Generated models and precomputed datasets can be securely saved using instances of
com.arosbio.encryption.EncryptionSpecification but there is no such implementation available in the public repo. Users can either purchase such an extension by contacting Aros Bio, or can implement their own encryption/decryption specifications and making them available as a Java service. Just note that currently a single implementation is allowed in the class path when running the CLI application, otherwise it will terminate in case encryption is specified.