NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-learn and h2o extension classes (as well as caret classes for python). See more here: https://tgsmith61591.github.io/skutil
Release 0.1.6 adds the following scoring methods:
h2o_auc_score
h2o_logloss_score
It also dramatically improves performance on several classes that rely on H2OFrame
rbind operations. Since they are lazily evaluated, some tasks could cause maximum recursion depth to be reached easily. Now, rbinds are handled in batches and should not cause the same issue...
Loads of bug fixes (some minor, some major), migration towards Python 3 compatibility, and more...
More release notes to come; see it all here
Version 0.1.3
does not offer as many additions in functionality as 0.1.0
and 0.1.2
. What it does offer is better examples, more docstrings, slight bug fixes and one large bug fix in the skutil.odr.dqrsl
module.
v0.1.2 adds:
skutil.utils.metaestimators.if_delegate_isinstance
skutil.h2o.h2o_f_classif
skutil.h2o.H2OFScoreKBestSelector
h2o_f_classif
method.skutil.h2o.H2OFScorePercentileSelector
h2o_f_classif
method.download_pojo
method in H2OPipeline
and H2O grid searches.Re-release of v0.1.0 to incorporate several hotfixes.
Release 0.1.0 adds:
skutil.h2o.metrics
for scoring H2O functionsH2OSelectiveScaler
H2OPipeline
functionalityexclude_features
keyword to H2OTransformer
s