CortanaAnalytics 0.0.4

安装

要安装，请使用pip

pip install cortanaanalytics

您也可以直接从GitHub存储库获取开发版本： http://github.com/crwilcox/cortanaanalytics

入门

Cortana Analytics有许多不同的包。请查看每个部分以获取您感兴趣的库。

此外，您还需要从Azure数据市场 获取访问密钥 并订阅您希望使用的服务。

文本分析

https://datamarket.azure.com/dataset/amla/text-analytics

from cortanaanalytics.textanalytics import TextAnalytics

key = '1abCdEFGh/ijKlmN/opq234r56st/UvWXYZabCD7EF8='
ta = TextAnalytics(key)

score = ta.get_sentiment("hello world")

scores = ta.get_sentiment_batch([{"Text":"hello world", "Id":0}, {"Text":"hello world again", "Id":2}])

推荐

https://datamarket.azure.com/dataset/amla/recommendations

from cortanaanalytics.recommendations import Recommendations

email = 'email@outlook.com'
key = '1abCdEFGh/ijKlmN/opq234r56st/UvWXYZabCD7EF8='
rs = Recommendations(email, key)

# create model
model_id = rs.create_model('groceries' + datetime.now().strftime('%Y%m%d%H%M%S'))

# import item catalog
catalog_path = os.path.join('app', 'management', 'commands', 'catalog.csv')
rs.import_file(model_id, catalog_path, Uris.import_catalog)

# import usage information
transactions_path = os.path.join('app', 'management', 'commands', 'transactions.csv')
rs.import_file(model_id, transactions_path, Uris.import_usage)

# build model
build_id = rs.build_fbt_model(model_id)
status = rs.wait_for_build(model_id, build_id)

if status != BuildStatus.success:
    print('Unsuccessful in building the model, failing now.')
    return

# update model active build (not needed unless you are rebuilding)
rs.update_model(model_id, None, build_id)

print('Built a model. Model ID:{} Build ID:{}'.format(model_id, build_id))

异常检测

https://datamarket.azure.com/dataset/aml_labs/anomalydetection

from cortanaanalytics.anomalydetection import AnomalyDetection

key = '1abCdEFGh/ijKlmN/opq234r56st/UvWXYZabCD7EF8='
ad = AnomalyDetection(key)

data = [
            (datetime(2014, 9, 21, 11, 5, 0), 3),
            (datetime(2014, 9, 21, 11, 10, 0), 9.09),
            (datetime(2014, 9, 21, 11, 15, 0), 0)
       ]
result = ad.score(test_data)

或者您也可以使用字符串

from cortanaanalytics.anomalydetection import AnomalyDetection

key = '1abCdEFGh/ijKlmN/opq234r56st/UvWXYZabCD7EF8='
ad = AnomalyDetection(key)

data = "9/21/2014 11:05:00 AM=3;9/21/2014 11:10:00 AM=9.09;9/21/2014 11:15:00 AM=0;"
params = "SpikeDetector.TukeyThresh=3; SpikeDetector.ZscoreThresh=3"
result = ad.score_raw(data, params)