def makeConfigs(config, dataFile, pmml, scores):
#create the configurations
root = ET.Element("pmmlDeployment")
data = ET.SubElement(root, "inputData")
ET.SubElement(data, "readOnce")
temp = ET.SubElement(data, "fromFile")
temp.set("name", str(dataFile))
temp.set("type", "UniTable")
model = ET.SubElement(root, "inputModel")
temp = ET.SubElement(model, "fromFile")
temp.set("name", str(pmml))
output = ET.SubElement(root, "output")
report = ET.SubElement(output, "report")
report.set("name", "report")
temp = ET.SubElement(report, "toFile")
temp.set("name", str(scores))
row = ET.SubElement(report, "outputRow")
row.set("name", "event")
column = ET.SubElement(row, "score")
column.set("name", "score")
column = ET.SubElement(row, "alert")
column.set("name", "alert")
column = ET.SubElement(row, "ancillary")
column.set("name", "distribution")
column = ET.SubElement(row, "segments")
column.set("name", "segments")
logging = ET.SubElement(root, "logging")
ET.SubElement(logging, "toStandardError")
#output the configs
tree = ET.ElementTree(root)
tree.write(config)
def makePMML(outFile):
#create the pmml
root = ET.Element("PMML")
root.set("version", "3.1")
header = ET.SubElement(root, "Header")
header.set("copyright", " ")
dataDict = ET.SubElement(root, "DataDictionary")
dataField = ET.SubElement(dataDict, "DataField")
dataField.set("name", "volume")
dataField.set("optype", "continuous")
dataField.set("dataType", "float")
dataField = ET.SubElement(dataDict, "DataField")
dataField.set("name", "fielddeviceid")
dataField.set("optype", "categorical")
dataField.set("dataType", "string")
dataField = ET.SubElement(dataDict, "DataField")
dataField.set("name", "locationtimestamp")
dataField.set("optype", "categorical")
dataField.set("dataType", "string")
baselineModel = ET.SubElement(root, "BaselineModel")
baselineModel.set("functionName", "baseline")
miningSchema = ET.SubElement(baselineModel, "MiningSchema")
miningField = ET.SubElement(miningSchema, "MiningField")
miningField.set("name", "volume")
miningField = ET.SubElement(miningSchema, "MiningField")
miningField.set("name", "fielddeviceid")
miningField = ET.SubElement(miningSchema, "MiningField")
miningField.set("name", "locationtimestamp")
#output to the file
tree = ET.ElementTree(root)
tree.write(outFile)
def makeConfigs(inFile, outFile, inPMML, outPMML):
#open data file
inf = uni.UniTable().fromfile(inFile)
#start the configuration file
root = ET.Element("model")
root.set("input", str(inPMML))
root.set("output", str(outPMML))
test = ET.SubElement(root, "test")
test.set("field", "Automaker")
test.set("weightField", "Count")
test.set("testStatistic", "dDist")
test.set("testType", "threshold")
test.set("windowSize", "200")
# note that for dDist test, threshold is really a 'ceiling'
test.set("threshold", "0.15")
# use a discrete distribution model for test
baseline = ET.SubElement(test, "baseline")
baseline.set("dist", "discrete")
baseline.set("file", str(inFile))
baseline.set("type", "UniTable")
#create the segmentation declarations for the two fields
segmentation = ET.SubElement(test, "segmentation")
makeSegment(inf, segmentation, "Color")
#output the configurations
tree = ET.ElementTree(root)
tree.write(outFile)
def makePMML(outFile):
#create the pmml
root = ET.Element("PMML")
root.set("version", "3.1")
header = ET.SubElement(root, "Header")
header.set("copyright", " ")
tracking = ET.SubElement(header, "Application")
tracking.set("name", "auto weighted non-batch example")
tracking.set("version", "v0.0.0")
dataDict = ET.SubElement(root, "DataDictionary")
# Automaker is the test field
dataField = ET.SubElement(dataDict, "DataField")
dataField.set("name", "Automaker")
dataField.set("optype", "categorical")
dataField.set("dataType", "string")
# Date is unused in this example
#dataField = ET.SubElement(dataDict, "DataField")
#dataField.set("name", "Date")
#dataField.set("optype", "categorical")
#dataField.set("dataType", "string")
# Color is the field that defines seqments
dataField = ET.SubElement(dataDict, "DataField")
dataField.set("name", "Color")
dataField.set("optype", "categorical")
dataField.set("dataType", "string")
# Count is the field used for weighting
dataField = ET.SubElement(dataDict, "DataField")
dataField.set("name", "Count")
dataField.set("optype", "continuous")
dataField.set("dataType", "float")
baselineModel = ET.SubElement(root, "BaselineModel")
baselineModel.set("functionName", "baseline")
# mining 3 fields: segmentation, weighting, and test field
miningSchema = ET.SubElement(baselineModel, "MiningSchema")
miningField = ET.SubElement(miningSchema, "MiningField")
miningField.set("name", "Automaker")
miningField = ET.SubElement(miningSchema, "MiningField")
miningField.set("name", "Color")
miningField = ET.SubElement(miningSchema, "MiningField")
miningField.set("name", "Count")
# Date is unused in this example
#miningField = ET.SubElement(miningSchema, "MiningField")
#miningField.set("name", "Date")
#output to the file
tree = ET.ElementTree(root)
tree.write(outFile)
def makeConfigs(inFile, outFile, inPMML, outPMML):
#open data file
inf = uni.UniTable().fromfile(inFile)
#start the configuration file
root = ET.Element("model")
root.set("input", str(inPMML))
root.set("output", str(outPMML))
test = ET.SubElement(root, "test")
test.set("field", "volume")
test.set("testStatistic", "zValue")
test.set("testType", "threshold")
test.set("threshold", "1.5")
baseline = ET.SubElement(test, "baseline")
baseline.set("dist", "gaussian")
baseline.set("file", str(inFile))
baseline.set("type", "UniTable")
#create the segmentation declarations for the two fields
segmentation = ET.SubElement(test, "segmentation")
makeSegment(inf, segmentation, "fielddeviceid")
makeSegment(inf, segmentation, "locationtimestamp")
#output the configurations
tree = ET.ElementTree(root)
tree.write(outFile)
_next = []
foundsegment = {}
if (_sg.tag == modelSegmentTag):
score_type = _sg.attrib[testStatisticAttrib]
for seg in _sg.getchildren()[1].getchildren():
foundsegment[seg.attrib['field']] = seg.attrib['value']
fs = foundsegment.keys()
fs.sort()
if (len(fs) > 0):
for _o in order[tuple(fs)]:
_next.append(foundsegment[_o])
if (len(_next) > 0):
tests[tuple(_next)] = _sg
# Fill out xml structure for report.
output = ET.Element("Report")
head = ET.SubElement(output, "head")
_stamp = ET.SubElement(head, "ProcessingTime")
_stamp.text = datetime.datetime.now().__str__()
_model = ET.SubElement(head, "Model")
_model.text = model
_config = ET.SubElement(head, "Config")
_config.text = sys.argv[1]
_version = ET.SubElement(head, "Version")
_version.text = version
events = ET.SubElement(output, "events")
for segSchema in segments.keys():
if len(segSchema) == 0:
log.info(
"INFO: No evident segmentation scheme. Assume unsegmented scoring"
)
