Open alfredalappat opened 6 months ago
The training data will be generated always. It is random but still deterministic when you don't change the seed. The data can be saved but from runtime perspective it makes no sense if you read it from a file or generate the random ints. But it can be improved when the keypairs (public/private) will be saved (no ripe and sha256 :) )
The model which is used in the example.py was trained with 100k key pairs. The example checks only one specific public key.
Please give instructions like how to use this program.why example file is so small without any Python files like create, convert, generate,train?.in example python file how training dataset is created and saved for prediction??. And how much private key public key pairs is generated for training (1k,10k or 100k)????.