r0.1 DAP Relase 0.1Release r0.1
First release of the
dapproject. This is the first release of the DAP project including a total re-design and refactored version of the Data Analysis Protocol.
- DAP for Classification in Machine Learning Pipelines
- DAP for Classification in Deep Learning Pipelines (using
- DAP for Regression in Machine and Deep Learning Pipelines
settings.pyfile contains the major set of settings one can customise to setup the DAP process and experiments. In particular, it is possible to configure the number of steps (i.e.
iterations), Cross-Validation Fold, and feature steps.
Additional features included in the current DAP implementation:
- feature normalisation
- feature ranking and selection
- model & feature selection using Borda algorithm
- random labels