LILY-QML / LLY-DML

LLY-DML is part of the LILY project and is a Quantum Machine Learning model. It uses so-called L-Gates. These gates are Machine Learning gates that modify their state based on an input to map to a desired state of an input.

https://www.lilyqml.de

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Class Training #45

Open xleonplayz opened 2 weeks ago

xleonplayz commented 2 weeks ago

[TRAINING.pdf](https://github.com/user-attachments/files/17693320/TRAINING.pdf)

Class `Training`

The Training class is located in module/helper and is responsible for generating the PDF section related to training.

Upon instantiation, the class receives the following information:

Names of the Optimizers
Processed Datasets
Structure - Specifies which features should be included in the PDF, such as:
- COMPARISON TRAINING MATRIX
- CONFUSION MATRIX
- PROBABILITY DISTRIBUTION
- UNIQUENESS OF STATE
- STATE INCONSISTENCY REPORT
- ROC & PRECISION-RECALL
- LOSS FUNCTIONS OF INPUT DATA
- COMPARISON BETWEEN OPTIMIZERS
All data is read from train.json.