def main():
access_token = ACCESS_TOKEN
id = '1010487'
dataset = DataSet(access_token=access_token)
response = dataset.delete_dataset(id)
print('Status Code: ' + str(response.status_code))
print('Text Message: ' + response.text)
def main():
access_token = ACCESS_TOKEN
dataset = DataSet(access_token=access_token)
response = dataset.get_all_datasets()
data = response['data']
for d in data:
print(str(d))
def main():
#curl -X POST -H "Authorization: Bearer <TOKEN>" -H "Cache-Control: no-cache"
# -H "Content-Type: multipart/form-data" -F "path=http://einstein.ai/text/weather.csv"
# -F "type=text-intent" https://api.einstein.ai/v2/language/datasets/upload
access_token = ACCESS_TOKEN
dataset = DataSet(access_token=access_token)
path = 'http://einstein.ai/text/weather.csv'
response = dataset.create_intent_dataset(path)
print(json.dumps(response, indent=4, sort_keys=True))
def main():
access_token = ACCESS_TOKEN
id = '1016532'
dataset = DataSet(access_token=access_token)
response = dataset.get_dataset_details(id)
if ('available' in response):
print(json.dumps(response, indent=4, sort_keys=True))
else:
print('Response status ok?: ' + str(response.ok))
print(response.text)
def main():
access_token = ACCESS_TOKEN
id = '1016532'
name = 'Movie Review DataSet'
dataset = DataSet(access_token=access_token)
response = dataset.train_dataset(id, model_name=name)
if ('available' in response):
print(json.dumps(response, indent=4, sort_keys=True))
else:
print('Response status ok?: ' + str(response.ok))
print(json.dumps(response.text, indent=4, sort_keys=True))
def main():
access_token = ACCESS_TOKEN
id = 'NLTHWYUZ4JU5HRTSTEDPFL5NDM'
dataset = DataSet(access_token=access_token)
response = dataset.get_model_details(id)
try:
print(json.dumps(response, indent=4, sort_keys=True))
except TypeError:
print('response ok? ' + str(response.ok))
print('response content: ' + str(response.content))
return True
def main():
access_token = ACCESS_TOKEN
dataset = DataSet(access_token=access_token)
path = 'https://www.dropbox.com/s/fi501unouuzet39/movie_review_train_1000_v2.tsv?dl=1'
response = dataset.create_sentiment_dataset(path)
print(json.dumps(response, indent=4, sort_keys=True))