def test_GLM2_princeton(self):
# filename, y, timeoutSecs
# these are all counts? using gaussian?
csvFilenameList = [
('cuse.dat', 'gaussian', 3, 10), # notUsing
('cuse.dat', 'gaussian', 4, 10), # using
('copen.dat', 'gaussian', 4, 10),
('housing.raw', 'gaussian', 4, 10),
]
trial = 0
for (csvFilename, family, y, timeoutSecs) in csvFilenameList:
csvPathname1 = 'logreg/princeton/' + csvFilename
fullPathname1 = h2i.find_folder_and_filename('smalldata', csvPathname1, returnFullPath=True)
csvPathname2 = SYNDATASETS_DIR + '/' + csvFilename + '_stripped.csv'
h2o_util.file_strip_trailing_spaces(fullPathname1, csvPathname2)
parseResult = h2i.import_parse(path=csvPathname2, schema='put', timeoutSecs=timeoutSecs)
start = time.time()
kwargs = {'n_folds': 0, 'family': family, 'response': y}
glm = h2o_cmd.runGLM(parseResult=parseResult, timeoutSecs=timeoutSecs, **kwargs)
h2o_glm.simpleCheckGLM(self, glm, None, **kwargs)
print "glm end (w/check) on ", csvPathname2, 'took', time.time() - start, 'seconds'
trial += 1
print "\nTrial #", trial
def test_GLM_princeton(self):
# filename, y, timeoutSecs
# these are all counts? using gaussian?
csvFilenameList = [
('cuse.dat', 'gaussian', 3, 5), # notUsing
('cuse.dat', 'gaussian', 4, 5), # using
('copen.dat', 'gaussian', 4, 5),
('housing.raw', 'gaussian', 4, 5),
]
trial = 0
for (csvFilename, family, y, timeoutSecs) in csvFilenameList:
csvPathname1 = h2o.find_file("smalldata/logreg/princeton/" +
csvFilename)
csvPathname2 = SYNDATASETS_DIR + '/' + csvFilename + '_stripped.csv'
h2o_util.file_strip_trailing_spaces(csvPathname1, csvPathname2)
kwargs = {
'n_folds': 0,
'family': family,
'link': 'familyDefault',
'y': y
}
start = time.time()
glm = h2o_cmd.runGLM(csvPathname=csvPathname2,
key=csvFilename,
timeoutSecs=timeoutSecs,
**kwargs)
h2o_glm.simpleCheckGLM(self, glm, None, **kwargs)
print "glm end (w/check) on ", csvPathname2, 'took', time.time(
) - start, 'seconds'
trial += 1
print "\nTrial #", trial
def test_GLM_princeton(self):
# filename, y, timeoutSecs
# these are all counts? using gaussian?
csvFilenameList = [
("cuse.dat", "gaussian", 3, 5), # notUsing
("cuse.dat", "gaussian", 4, 5), # using
("copen.dat", "gaussian", 4, 5),
("housing.raw", "gaussian", 4, 5),
]
trial = 0
for (csvFilename, family, y, timeoutSecs) in csvFilenameList:
csvPathname1 = h2o.find_file("smalldata/logreg/princeton/" + csvFilename)
csvPathname2 = SYNDATASETS_DIR + "/" + csvFilename + "_stripped.csv"
h2o_util.file_strip_trailing_spaces(csvPathname1, csvPathname2)
kwargs = {"n_folds": 0, "family": family, "link": "familyDefault", "y": y}
start = time.time()
glm = h2o_cmd.runGLM(csvPathname=csvPathname2, key=csvFilename, timeoutSecs=timeoutSecs, **kwargs)
h2o_glm.simpleCheckGLM(self, glm, None, **kwargs)
print "glm end (w/check) on ", csvPathname2, "took", time.time() - start, "seconds"
trial += 1
print "\nTrial #", trial
