Metadata-Version: 1.2
Name: pamalia
Version: 0.0.2
Summary: UNKNOWN
Home-page: https://github.com/louisabraham/pamalia
Author: Louis Abraham
Author-email: louis.abraham@yahoo.fr
License: MIT
Description: pamalia
        =======
        
        TODO
        ----
        
        -  parallel evaluation with joblib (``n_jobs``)
        
        -  implement genetic algorithm to find pipelines
        
        -  copy parameters from tpot
        
        -  add rules to prevent stupid things (PolynomialFeatures with many
           columns)
        
        -  distribute genetic algorithms with dask
        
        -  test joblib distributed backend with dask (nothing to do, just test)
        
        -  fine-grained distribution with dask computation graph:
        
           -  trivial for prediction
        
           -  for fit, each step returns a cross-validated estimate and a fitted
              model. The fitted model is not used before the final step.
        
        -  it is possible to implement cross-validation with a factor 2
           improvement when the cross-val and the training folds match
        
        -  handle timeouts: https://github.com/dask/distributed/issues/391,
           https://github.com/dask/dask/issues/1183
        
Platform: UNKNOWN
Requires-Python: >=3.6
