Python DataSet Examples

Example #1

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)

Example #2

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))

Example #3

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))

Example #4

File: get_dataset_details_example.py Project: uday210/einstein-python-lib

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)

Example #5

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))

Example #6

File: get_model_details_example.py Project: uday210/einstein-python-lib

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

Example #7

File: create_dataset_sentiment_example.py Project: uday210/einstein-python-lib

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))