本文整理汇总了Python中trustedanalytics.connect函数的典型用法代码示例。如果您正苦于以下问题：Python connect函数的具体用法？Python connect怎么用？Python connect使用的例子？那么恭喜您, 这里精选的函数代码示例或许可以为您提供帮助。
在下文中一共展示了connect函数的13个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: connect
def connect():
import trustedanalytics as ta
ta.server.uri = "atk-34157d69-65f4-426f-ac14.demo-gotapaas.com"
ta.loggers.set_api()
ta.connect('/root/demo.creds')
return ta if ta is not None else None示例2: test_create_from_csv
def test_create_from_csv(self, patched_be):
connect()
f = Frame(CsvFile("dummy.csv", [('A', int32), ('B', int64)]))
self.assertEqual(0, len(f))
try:
c = f['C']
self.fail()
except KeyError:
pass示例3: get_simple_frame_abfgh
def get_simple_frame_abfgh():
schema = [('A', int32), ('B', int64), ('F', float32), ('G', float64), ('H', str)]
f = Frame(CsvFile("dummy.csv", schema))
connect()
try:
del _BaseFrame.schema
except:
pass
setattr(f, "schema", schema)
return f示例4: ModelNaiveBayesTest
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import unittest
import trustedanalytics as ta
# show full stack traces
ta.errors.show_details = True
ta.loggers.set_api()
# TODO: port setup should move to a super class
if ta.server.port != 19099:
ta.server.port = 19099
ta.connect()
class ModelNaiveBayesTest(unittest.TestCase):
def test_naive_bayes(self):
print "define csv file"
schema = [("Class", ta.int32),("Dim_1", ta.int32),("Dim_2", ta.int32),("Dim_3",ta.int32)]
train_file = ta.CsvFile("/datasets/naivebayes_spark_data.csv", schema= schema)
print "creating the frame"
train_frame = ta.Frame(train_file)
print "initializing the naivebayes model"
n = ta.NaiveBayesModel()
print "training the model on the frame"
n.train(train_frame, 'Class', ['Dim_1', 'Dim_2', 'Dim_3'])
示例5: ModelNaiveBayesTest
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import unittest
import trustedanalytics as ta
# show full stack traces
ta.errors.show_details = True
ta.server.uri = "atk-c4510a4d-f1ce-44f8-b4a6.10.239.165.216.xip.io"
ta.loggers.set_http()
#ta.loggers.set_api()
ta.connect("/home/yilan/atk/atk_poc/demo.creds")
class ModelNaiveBayesTest(unittest.TestCase):
def test_naive_bayes(self):
print "define csv file"
csv = ta.CsvFile("hdfs://nameservice1/org/intel/hdfsbroker/userspace/ae6a38d3-191f-494f-86a6-3fe1b2255902/e3327582-f475-4dc9-8efa-96070abb606d/000000_1",
schema=[
("GXY",ta.int32),
#("HPI",ta.ignore),
("Age",ta.int32),
("Sex",ta.int32),
("Height",ta.float64),
("Weight",ta.float64),
("BMI",ta.float64),示例6: test_create
def test_create(self, patched_be):
connect()
f = Frame()
self.assertEqual(None, f.uri)示例7: test_create
def test_create(self, patched_be):
connect()
f = Frame()
self.assertEqual(0, f._id)
self.assertEqual(None, f._error_frame_id)示例8: ModelRandomForestTest
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import unittest
import trustedanalytics as ta
# show full stack traces
ta.errors.show_details = True
ta.server.uri = "ly_test_a-73f30cfd.10.239.165.214.xip.io"
#ta.loggers.set_http()
ta.loggers.set_api()
ta.connect("~/workspace/atktest/demo.creds")
class ModelRandomForestTest(unittest.TestCase):
def testLinearRegression(self):
print "define csv file"
csv = ta.CsvFile("hdfs://nameservice1/org/intel/hdfsbroker/userspace/9bb351fa-7b17-4a81-b3b0-521639c1d473/d342214b-c4c0-4963-aeaf-5adf054e22b6/000000_1",
schema=[
("GXY",ta.int32),
#("HPI",ta.ignore),
("Age",ta.int32),
("Sex",ta.int32),
("Height",ta.float64),
("Weight",ta.float64),
("BMI",ta.float64),示例9: test_meta
def test_meta(self):
import trustedanalytics as ta
ta.connect()示例10: ModelRandomForestTest
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import unittest
import trustedanalytics as ta
# show full stack traces
ta.errors.show_details = True
ta.server.uri = "atk-bcc31ff0-b3c2-4059-9749.10.239.165.216.xip.io"
#ta.loggers.set_http()
ta.loggers.set_api()
ta.connect("/home/yilan/tap/atk/atkPoc/demo.creds")
class ModelRandomForestTest(unittest.TestCase):
def testLinearRegression(self):
print "define csv file"
csv = ta.CsvFile("hdfs://nameservice1/org/intel/hdfsbroker/userspace/ae6a38d3-191f-494f-86a6-3fe1b2255902/e3327582-f475-4dc9-8efa-96070abb606d/000000_1",
schema=[
("GXY",ta.int32),
#("HPI",ta.ignore),
("Age",ta.int32),
("Sex",ta.int32),
("Height",ta.float64),
("Weight",ta.float64),示例11: connect
def connect():
import trustedanalytics as ta
ta.connect()
return ta示例12: ModelRandomForestTest
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import unittest
import trustedanalytics as ia
# show full stack traces
ia.errors.show_details = True
ia.loggers.set_api()
# TODO: port setup should move to a super class
if ia.server.port != 19099:
ia.server.port = 19099
ia.connect()
class ModelRandomForestTest(unittest.TestCase):
def testSvm(self):
print "define csv file"
csv = ia.CsvFile("/datasets/RandomForest.csv", schema= [('Class', int),
('Dim_1', ia.float64),
('Dim_2',ia.float64)])
print "create frame"
frame = ia.Frame(csv)
print "Initializing the classifier model object"
classifier = ia.RandomForestClassifierModel()
print "Training the model on the Frame"示例13:
#-------------------------------------------------------------------------------
# Name: DataProcess_ATK
# Purpose:
# Author: xlin1x
# Email: [email protected]
# Created: 25/1/2016
#-------------------------------------------------------------------------------
# coding: utf-8
# In[10]:
# create connect to server
import trustedanalytics as ta
ta.server.uri='it_flex-e9c6c0af.demo-gotapaas.com'
ta.connect("/root/demo.creds")
# In[11]:
#create an array to maintain frame column
featureList = ["GXY", "Age", "Sex", "Height", "BMI", "DBP", "Cr", "HCT"];
#create an array to maintain classfiy opertion
classfiyList = ["DBP","HCT"];
# In[12]:
#create a schema
csv = ta.CsvFile("hdfs://nameservice1/org/intel/hdfsbroker/userspace/b61d4808-e761-45c3-bd54-afcb05b84a8b/ef53c275-e12d-49ea-b2dd-bce12717b72b/000000_1",
schema=[