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All Samples(7)  |  Call(5)  |  Derive(0)  |  Import(2)

src/o/r/Orange-2.7.2/Orange/orng/orngLR.py   Orange(Download)
from Orange.classification.logreg import \
    dump,\
    has_discrete_values as hasDiscreteValues,\
    LogRegLearner,\
    LogRegLearner as LogRegLearnerClass,\
def printOUT(*a, **b):
    print dump(*a, **b)
 
printOut = printOUT    
 

src/o/r/Orange-2.7.2/docs/reference/rst/code/logreg-singularities.py   Orange(Download)
for ex in adult[:5]:
    print ex.getclass(), lr(ex)
Orange.classification.logreg.dump(lr)
 

src/o/r/Orange-2.7.2/docs/reference/rst/code/logreg-run.py   Orange(Download)
        correct += 1
print "Classification accuracy:", correct / len(titanic)
Orange.classification.logreg.dump(lr)
 

src/o/r/Orange-2.7.2/docs/tutorial/rst/code/classification-models.py   Orange(Download)
import Orange
 
data = Orange.data.Table("titanic")
lr = Orange.classification.logreg.LogRegLearner(data)
print Orange.classification.logreg.dump(lr)

src/o/r/Orange-2.7.2/Orange/testing/unit/tests/test_logreg.py   Orange(Download)
from orngLR import LogRegLearner, Univariate_LogRegLearner, StepWiseFSS, StepWiseFSS_Filter
 
from Orange.classification.logreg import LibLinearLogRegLearner, dump
import Orange
 
        data = Orange.data.Table(domain, matrix)
        classifier = LogRegLearner(data)
        text_dump = dump(classifier)