def test_sklearn_pipe_fit_predict1():
p = Pipe() +\
Segment(anova_filter, 'anova') +\
Segment(clf, 'svc')
p.fit(X, y)
p.predict(X)
def test_save_fitted_load_predict(resource_tmp_file):
p = Pipe() +\
Segment(anova_filter, 'anova') +\
Segment(clf, 'svc')
p.fit(X, y)
p._save(resource_tmp_file)
p = Pipe._load(resource_tmp_file)
p.predict(X)
def test_sklearn_pipe_serialize():
def dummy(*args):
return args
p = Pipe() +\
Segment(anova_filter, 'anova') +\
Segment(dummy) +\
Segment(clf, 'svc')
p.fit(X, y)
p.predict(X, y=None)