lacava / few

a feature engineering wrapper for sklearn

https://lacava.github.io/few

lacava/few Issues

Issues with current ML validation score
Updated 5 years ago3
Error with installation
Closed 5 years ago8
multiple-feature gp representation
Closed 5 years ago2
random numbers seed not working?
Closed 6 years ago3
feat vs few?
Closed 6 years ago5
adding new node types
Updated 6 years ago1
If original features are found by FEW, transform() method fails with TypeError
Closed 6 years ago3
ImportError: dlopen ... symbol not found
Closed 6 years ago5
GridSearchCV error
Closed 7 years ago1
add length-normalized probability of mutation
Updated 7 years ago
add balanced accuracy option
Closed 7 years ago1
normalize feature transformations
Closed 7 years ago4
implement 3-fold cross validation for internal updating of best model
Closed 7 years ago1
feature importance determines parent pressure for selection
Closed 7 years ago2
use check_random_state() instead of numpy.seed
Closed 7 years ago1
add encoding operators for GWAS
Updated 7 years ago
add size mediated parent selection for lexicase survival
Updated 7 years ago1
installing few with pip
Closed 7 years ago7
stall effects
Closed 7 years ago1
low GPU utilization with tf option
Updated 7 years ago
feature importance determines who survives
Updated 7 years ago
cythonize evaluation routine
Updated 7 years ago
tensor flow
Closed 7 years ago1
few.model() and few.print_model()
Closed 7 years ago4
value error in lasso
Closed 7 years ago1
write DistanceClassifier()
Closed 7 years ago1
move mad calculation outside of lexicase population loop
Closed 8 years ago