Beispiel #1
0
#!/usr/bin/env python
from yhat import Yhat
#yh = Yhat("*****@*****.**", "RoVGt5VDZfHkdBLx2rre76sg998cD4IuJiYzzNmNp48")
yh = Yhat("*****@*****.**", "HaDobDyJtFoQQPZ9xRkCJrI44OB6EW8hC6IfUMsGzo8")
checkoo_models = yh.show_models()
for model in checkoo_models['models']:
	print model

newcase = {
	'loc':'BeiJing', 
	'major':'Computer Science/Engineering', 
	'vtype':'F1', 
	'ventry':'New',
	'byear':'2013',
	'bmonth':'7',
	'bday':'20'
}
checkoo_version = 14
print yh.predict('CKModel',checkoo_version,newcase)
Beispiel #2
0
# <markdowncell>

# <p>Deploy to Yhat</p>

# <codecell>

yh = Yhat("YOUR USERNAME", "YOUR API KEY")

# <codecell>

print yh.upload("NamedEntityFindr", clf)

# <codecell>

[model for model in yh.show_models()['models'] if model['name'] == "NamedEntityFindr"]

# <codecell>

results_from_server = yh.raw_predict("NamedEntityFindr", 1, data)
results_from_server

# <codecell>

print 'sanity check.'
print 'results all match => %s' \
    % np.all(np.array(results['entities']) == np.array(results_from_server['prediction']['entities']))

# <markdowncell>

# <h2>Final Thoughts</h2>