Releases: fracpete/sklearn-weka-plugin
Releases · fracpete/sklearn-weka-plugin
Release v0.1.0
Release v0.0.8
- using
scikit-learn
instead of deprecatedsklearn
dependency for scikit-learn (#10)
Release v0.0.7
WekaEstimator
(modulesklweka.classifiers
) now has a customscore
method that distinguishes between classification and regression to return the correct score.- renamed
data
toX
andtargets
toy
, since some sklearn schemes use named arguments - added dummy argument
sample_weight=None
tofit
,score
andfit_predict
methods - fixed: when supplying Classifier or JBObject instead of classname/options, classname/options now get determined automatically
- method
to_instance
(module:sklweka.dataset
) now performs correct missing value check - method
to_nominal_labels
(module:sklweka.dataset
) generates nicer labels now
Release v0.0.6
WekaEstimator
(modulesklweka.classifiers
) andWekaCluster
(modulesklweka.clusters
) now allow specifying how many labels a particular nominal attribute or class attribute has (to avoid error message likeCannot handle unary class attribute!
if there is only one label present in a particular split)
Release v0.0.5
- the
to_nominal_attributes
method in thesklearn.dataset
module requires now theindices
parameter (incorrectly declared as optional); can parse a range string now as well - fixed the
fit
,set_params
and__str__
methods fo theMakeNominal
transformer (modulesklweka.preprocessing
) WekaEstimator
(modulesklweka.classifiers
) andWekaCluster
(modulesklweka.clusters
) now allow specifying which attributes to turn into nominal ones, which avoids having to manually convert the data (either as list with 0-based indices or range string with 1-based indices)set_params
methods now ignore empty dictionaries
Release v0.0.4
- fixed sorting of labels in
to_instances
method in modulesklweka.dataset
- redoing
X
when no class present inload_arff
method (modulesklweka.dataset
) - added
load_dataset
method in modulesklweka.dataset
that uses Weka to load the data before converting it into sklearn data structures (slower, but more flexible)
Release v0.0.3
- added support for generating data via Weka's data generators
Release v0.0.2
- requiring python-weka-wrapper3 version 0.2.1 at least in order to offer pickle support
Release v0.0.1
- initial release