def test_plot(self):
fs = FileStreamExplicit("test/test_dataset/test.data", sep="\t")
cf = MFExplicitSGD()
ev = PrequentialEvaluatorExplicit(cf)
st = EvaluationStatic(fs.stream, ev)
st.evaluate()
self.assertEqual(st.plot(), None)
def test_evaluate(self):
fs = FileStreamExplicit("test/test_dataset/test.data", sep="\t")
cf = MFExplicitSGD()
ev = PrequentialEvaluatorExplicit(cf)
st = EvaluationStatic(fs.stream, ev)
st.evaluate()
self.assertEqual(len(st.err_rate), len(st.stream))
self.assertEqual(len(st.elap_rec), len(st.stream))
self.assertEqual(len(st.elap_nr), len(st.stream))
def test_init(self):
fs = FileStreamExplicit("test/test_dataset/test.data", sep="\t")
cf = MFExplicitSGD()
ev = PrequentialEvaluatorExplicit(cf)
st = EvaluationStatic(fs.stream, ev)
self.assertEqual(st.stream, fs.stream)
self.assertEqual(st.x, range(0, len(fs.stream)))
self.assertEqual(st.evaluator, ev)
self.assertEqual(st.err_rate, [])
self.assertEqual(st.elap_nr, [])
self.assertEqual(st.elap_rec, [])
import sys
import getopt
from algorithms.collaborative_filtering.matrix_factorization\
.explicit_feedback import MFExplicitSGD
from evaluators.prequential.explicit_feedback import (
PrequentialEvaluatorExplicit)
from stream.file_stream.explicit import FileStreamExplicit
from graphic import EvaluationStatic
path = getopt.getopt(sys.argv[1:], "")[1][0]
output = getopt.getopt(sys.argv[1:], "")[1][1]
fs = FileStreamExplicit(path, sep="\t")
cf = MFExplicitSGD(lf=20)
ev = PrequentialEvaluatorExplicit(cf)
stat = EvaluationStatic(fs.stream, ev)
stat.process(path=output)