本文整理汇总了Python中weka.flow.control.Flow.cleanup方法的典型用法代码示例。如果您正苦于以下问题:Python Flow.cleanup方法的具体用法?Python Flow.cleanup怎么用?Python Flow.cleanup使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类weka.flow.control.Flow
的用法示例。
在下文中一共展示了Flow.cleanup方法的15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: main
# 需要导入模块: from weka.flow.control import Flow [as 别名]
# 或者: from weka.flow.control.Flow import cleanup [as 别名]
def main():
"""
Just runs some example code.
"""
# setup the flow
flow = Flow(name="math expression")
outer = ForLoop()
outer.config["max"] = 100
flow.actors.append(outer)
expr = MathExpression()
expr.config["expression"] = "math.sqrt({X})"
flow.actors.append(expr)
console = Console()
flow.actors.append(console)
# run the flow
msg = flow.setup()
if msg is None:
print("\n" + flow.tree + "\n")
msg = flow.execute()
if msg is not None:
print("Error executing flow:\n" + msg)
else:
print("Error setting up flow:\n" + msg)
flow.wrapup()
flow.cleanup()
示例2: main
# 需要导入模块: from weka.flow.control import Flow [as 别名]
# 或者: from weka.flow.control.Flow import cleanup [as 别名]
def main():
"""
Just runs some example code.
"""
"""
Plots a dataset.
"""
# setup the flow
helper.print_title("Plot dataset")
iris = helper.get_data_dir() + os.sep + "iris.arff"
flow = Flow(name="plot dataset")
filesupplier = FileSupplier()
filesupplier.config["files"] = [iris]
flow.actors.append(filesupplier)
loaddataset = LoadDataset()
flow.actors.append(loaddataset)
branch = Branch()
flow.actors.append(branch)
seq = Sequence(name="matrix plot")
branch.actors.append(seq)
mplot = MatrixPlot()
mplot.config["percent"] = 50.0
mplot.config["wait"] = False
seq.actors.append(mplot)
seq = Sequence(name="line plot")
branch.actors.append(seq)
copy = Copy()
seq.actors.append(copy)
flter = Filter()
flter.config["setup"] = filters.Filter(
classname="weka.filters.unsupervised.attribute.Remove", options=["-R", "last"])
flter.config["keep_relationname"] = True
seq.actors.append(flter)
lplot = LinePlot()
lplot.config["percent"] = 50.0
lplot.config["wait"] = True
seq.actors.append(lplot)
# run the flow
msg = flow.setup()
if msg is None:
print("\n" + flow.tree + "\n")
msg = flow.execute()
if msg is not None:
print("Error executing flow:\n" + msg)
else:
print("Error setting up flow:\n" + msg)
flow.wrapup()
flow.cleanup()
示例3: main
# 需要导入模块: from weka.flow.control import Flow [as 别名]
# 或者: from weka.flow.control.Flow import cleanup [as 别名]
def main():
"""
Just runs some example code.
"""
# setup the flow
flow = Flow(name="list files")
# flow.print_help()
listfiles = ListFiles()
listfiles.config["dir"] = str(tempfile.gettempdir())
listfiles.config["list_files"] = True
listfiles.config["list_dirs"] = False
listfiles.config["recursive"] = False
listfiles.config["regexp"] = ".*r.*"
# listfiles.print_help()
flow.actors.append(listfiles)
console = Console()
console.config["prefix"] = "Match: "
# console.print_help()
flow.actors.append(console)
# run the flow
msg = flow.setup()
if msg is None:
print("\n" + flow.tree + "\n")
msg = flow.execute()
if msg is not None:
print("Error executing flow:\n" + msg)
else:
print("Error setting up flow:\n" + msg)
flow.wrapup()
flow.cleanup()
示例4: load_incremental
# 需要导入模块: from weka.flow.control import Flow [as 别名]
# 或者: from weka.flow.control.Flow import cleanup [as 别名]
def load_incremental():
"""
Loads a dataset incrementally.
"""
# setup the flow
helper.print_title("Load dataset (incremental)")
iris = helper.get_data_dir() + os.sep + "iris.arff"
flow = Flow(name="load dataset")
filesupplier = FileSupplier()
filesupplier.config["files"] = [iris]
flow.actors.append(filesupplier)
loaddataset = LoadDataset()
loaddataset.config["incremental"] = True
flow.actors.append(loaddataset)
console = Console()
flow.actors.append(console)
# run the flow
msg = flow.setup()
if msg is None:
msg = flow.execute()
if msg is not None:
print("Error executing flow:\n" + msg)
else:
print("Error setting up flow:\n" + msg)
flow.wrapup()
flow.cleanup()
示例5: load_custom_loader
# 需要导入模块: from weka.flow.control import Flow [as 别名]
# 或者: from weka.flow.control.Flow import cleanup [as 别名]
def load_custom_loader():
"""
Loads a dataset using a custom loader.
"""
# setup the flow
helper.print_title("Load dataset (custom loader)")
iris = helper.get_data_dir() + os.sep + "iris.csv"
flow = Flow(name="load dataset")
filesupplier = FileSupplier()
filesupplier.config["files"] = [iris]
flow.actors.append(filesupplier)
loaddataset = LoadDataset()
loaddataset.config["incremental"] = False
loaddataset.config["use_custom_loader"] = True
loaddataset.config["custom_loader"] = Loader(classname="weka.core.converters.CSVLoader")
flow.actors.append(loaddataset)
console = Console()
flow.actors.append(console)
# run the flow
msg = flow.setup()
if msg is None:
msg = flow.execute()
if msg is not None:
print("Error executing flow:\n" + msg)
else:
print("Error setting up flow:\n" + msg)
flow.wrapup()
flow.cleanup()
示例6: main
# 需要导入模块: from weka.flow.control import Flow [as 别名]
# 或者: from weka.flow.control.Flow import cleanup [as 别名]
def main():
"""
Just runs some example code.
"""
"""
Loads data from a database.
"""
# setup the flow
helper.print_title("Load from database")
flow = Flow(name="load from database")
loaddatabase = LoadDatabase()
loaddatabase.config["db_url"] = "jdbc:mysql://HOSTNAME:3306/DBNAME"
loaddatabase.config["user"] = "DBUSER"
loaddatabase.config["password"] = "DBPW"
loaddatabase.config["query"] = "select * from TABLE"
flow.actors.append(loaddatabase)
console = Console()
flow.actors.append(console)
# run the flow
msg = flow.setup()
if msg is None:
print("\n" + flow.tree + "\n")
msg = flow.execute()
if msg is not None:
print("Error executing flow:\n" + msg)
else:
print("Error setting up flow:\n" + msg)
flow.wrapup()
flow.cleanup()
示例7: main
# 需要导入模块: from weka.flow.control import Flow [as 别名]
# 或者: from weka.flow.control.Flow import cleanup [as 别名]
def main():
"""
Just runs some example code.
"""
# setup the flow
helper.print_title("Generate dataset")
flow = Flow(name="generate dataset")
generator = DataGenerator()
generator.config["setup"] = datagen.DataGenerator(classname="weka.datagenerators.classifiers.classification.Agrawal")
flow.actors.append(generator)
console = Console()
flow.actors.append(console)
# run the flow
msg = flow.setup()
if msg is None:
print("\n" + flow.tree + "\n")
msg = flow.execute()
if msg is not None:
print("Error executing flow:\n" + msg)
else:
print("Error setting up flow:\n" + msg)
flow.wrapup()
flow.cleanup()
示例8: main
# 需要导入模块: from weka.flow.control import Flow [as 别名]
# 或者: from weka.flow.control.Flow import cleanup [as 别名]
def main():
"""
Just runs some example code.
"""
# setup the flow
flow = Flow(name="update storage value")
start = Start()
flow.actors.append(start)
init = InitStorageValue()
init.config["storage_name"] = "max"
init.config["value"] = "int(1)"
flow.actors.append(init)
trigger = Trigger()
flow.actors.append(trigger)
outer = ForLoop()
outer.name = "outer"
outer.config["max"] = 3
trigger.actors.append(outer)
trigger2 = Trigger()
trigger.actors.append(trigger2)
inner = ForLoop()
inner.name = "inner"
inner.config["max"] = "@{max}"
trigger2.actors.append(inner)
console = Console()
trigger2.actors.append(console)
update = UpdateStorageValue()
update.config["storage_name"] = "max"
update.config["expression"] = "{X} + 2"
trigger.actors.append(update)
# run the flow
msg = flow.setup()
if msg is None:
print("\n" + flow.tree + "\n")
msg = flow.execute()
if msg is not None:
print("Error executing flow:\n" + msg)
else:
print("Error setting up flow:\n" + msg)
flow.wrapup()
flow.cleanup()
示例9: main
# 需要导入模块: from weka.flow.control import Flow [as 别名]
# 或者: from weka.flow.control.Flow import cleanup [as 别名]
def main():
"""
Just runs some example code.
"""
# setup the flow
flow = Flow(name="combine storage")
outer = ForLoop()
outer.name = "outer"
outer.config["max"] = 3
flow.actors.append(outer)
ssv = SetStorageValue()
ssv.config["storage_name"] = "max"
flow.actors.append(ssv)
trigger = Trigger()
flow.actors.append(trigger)
inner = ForLoop()
inner.name = "inner"
inner.config["max"] = "@{max}"
trigger.actors.append(inner)
ssv2 = SetStorageValue()
ssv2.config["storage_name"] = "inner"
trigger.actors.append(ssv2)
trigger2 = Trigger()
trigger.actors.append(trigger2)
combine = CombineStorage()
combine.config["format"] = "@{max} / @{inner}"
trigger2.actors.append(combine)
console = Console()
trigger2.actors.append(console)
# run the flow
msg = flow.setup()
if msg is None:
print("\n" + flow.tree + "\n")
msg = flow.execute()
if msg is not None:
print("Error executing flow:\n" + msg)
else:
print("Error setting up flow:\n" + msg)
flow.wrapup()
flow.cleanup()
示例10: main
# 需要导入模块: from weka.flow.control import Flow [as 别名]
# 或者: from weka.flow.control.Flow import cleanup [as 别名]
def main():
"""
Just runs some example code.
"""
"""
Loads/filters a dataset incrementally and saves it to a new file.
"""
# setup the flow
helper.print_title("Load/filter/save dataset (incrementally)")
iris = helper.get_data_dir() + os.sep + "iris.arff"
flow = Flow(name="Load/filter/save dataset (incrementally)")
filesupplier = FileSupplier()
filesupplier.config["files"] = [iris]
flow.actors.append(filesupplier)
loaddataset = LoadDataset()
loaddataset.config["incremental"] = True
flow.actors.append(loaddataset)
flter = Filter()
flter.config["setup"] = filters.Filter(
classname="weka.filters.unsupervised.attribute.Remove", options=["-R", "last"])
flow.actors.append(flter)
rename = RenameRelation()
rename.config["name"] = "iris-reduced"
flow.actors.append(rename)
dumper = InstanceDumper()
dumper.config["output"] = tempfile.gettempdir() + os.sep + "out.arff"
flow.actors.append(dumper)
# run the flow
msg = flow.setup()
if msg is None:
print("\n" + flow.tree + "\n")
msg = flow.execute()
if msg is not None:
print("Error executing flow:\n" + msg)
else:
print("Error setting up flow:\n" + msg)
flow.wrapup()
flow.cleanup()
示例11: main
# 需要导入模块: from weka.flow.control import Flow [as 别名]
# 或者: from weka.flow.control.Flow import cleanup [as 别名]
def main():
"""
Just runs some example code.
"""
# setup the flow
helper.print_title("build and save clusterer")
iris = helper.get_data_dir() + os.sep + "iris_no_class.arff"
flow = Flow(name="build and save clusterer")
filesupplier = FileSupplier()
filesupplier.config["files"] = [iris]
flow.actors.append(filesupplier)
loaddataset = LoadDataset()
flow.actors.append(loaddataset)
train = Train()
train.config["setup"] = Clusterer(classname="weka.clusterers.SimpleKMeans")
flow.actors.append(train)
pick = ContainerValuePicker()
pick.config["value"] = "Model"
flow.actors.append(pick)
console = Console()
pick.actors.append(console)
writer = ModelWriter()
writer.config["output"] = str(tempfile.gettempdir()) + os.sep + "simplekmeans.model"
flow.actors.append(writer)
# run the flow
msg = flow.setup()
if msg is None:
print("\n" + flow.tree + "\n")
msg = flow.execute()
if msg is not None:
print("Error executing flow:\n" + msg)
else:
print("Error setting up flow:\n" + msg)
flow.wrapup()
flow.cleanup()
示例12: incremental
# 需要导入模块: from weka.flow.control import Flow [as 别名]
# 或者: from weka.flow.control.Flow import cleanup [as 别名]
def incremental():
"""
Just runs some example code.
"""
"""
Loads/filters a dataset incrementally.
"""
# setup the flow
helper.print_title("Filter datasets (incrementally)")
iris = helper.get_data_dir() + os.sep + "iris.arff"
anneal = helper.get_data_dir() + os.sep + "anneal.arff"
flow = Flow(name="filter datasets (incrementally)")
filesupplier = FileSupplier()
filesupplier.config["files"] = [iris, anneal]
flow.actors.append(filesupplier)
loaddataset = LoadDataset()
loaddataset.config["incremental"] = True
flow.actors.append(loaddataset)
flter = Filter()
flter.config["setup"] = filters.Filter(
classname="weka.filters.unsupervised.attribute.Remove", options=["-R", "1"])
flter.config["keep_relationname"] = True
flow.actors.append(flter)
console = Console()
flow.actors.append(console)
# run the flow
msg = flow.setup()
if msg is None:
print("\n" + flow.tree + "\n")
msg = flow.execute()
if msg is not None:
print("Error executing flow:\n" + msg)
else:
print("Error setting up flow:\n" + msg)
flow.wrapup()
flow.cleanup()
示例13: main
# 需要导入模块: from weka.flow.control import Flow [as 别名]
# 或者: from weka.flow.control.Flow import cleanup [as 别名]
def main():
"""
Just runs some example code.
"""
# setup the flow
helper.print_title("Cross-validate clusterer")
iris = helper.get_data_dir() + os.sep + "iris.arff"
flow = Flow(name="cross-validate clusterer")
filesupplier = FileSupplier()
filesupplier.config["files"] = [iris]
flow.actors.append(filesupplier)
loaddataset = LoadDataset()
flow.actors.append(loaddataset)
flter = Filter()
flter.name = "Remove class"
flter.config["filter"] = filters.Filter(
classname="weka.filters.unsupervised.attribute.Remove", options=["-R", "last"])
flow.actors.append(flter)
cv = CrossValidate()
cv.config["setup"] = Clusterer(classname="weka.clusterers.EM")
flow.actors.append(cv)
console = Console()
console.config["prefix"] = "Loglikelihood: "
flow.actors.append(console)
# run the flow
msg = flow.setup()
if msg is None:
print("\n" + flow.tree + "\n")
msg = flow.execute()
if msg is not None:
print("Error executing flow:\n" + msg)
else:
print("Error setting up flow:\n" + msg)
flow.wrapup()
flow.cleanup()
示例14: main
# 需要导入模块: from weka.flow.control import Flow [as 别名]
# 或者: from weka.flow.control.Flow import cleanup [as 别名]
def main():
"""
Just runs some example code.
"""
"""
Tests some conversions.
"""
# setup the flow
helper.print_title("conversions")
flow = Flow(name="conversions")
strings = StringConstants()
strings.config["strings"] = ["weka.classifiers.trees.J48", "weka.classifiers.functions.SMO"]
flow.actors.append(strings)
c2a = CommandlineToAny()
c2a.config["wrapper"] = "weka.classifiers.Classifier"
convert1 = Convert()
convert1.config["setup"] = c2a
flow.actors.append(convert1)
convert2 = Convert()
convert2.config["setup"] = AnyToCommandline()
flow.actors.append(convert2)
console = Console()
console.config["prefix"] = "setup: "
flow.actors.append(console)
# run the flow
msg = flow.setup()
if msg is None:
print("\n" + flow.tree + "\n")
msg = flow.execute()
if msg is not None:
print("Error executing flow:\n" + msg)
else:
print("Error setting up flow:\n" + msg)
flow.wrapup()
flow.cleanup()
示例15: main
# 需要导入模块: from weka.flow.control import Flow [as 别名]
# 或者: from weka.flow.control.Flow import cleanup [as 别名]
def main():
"""
Just runs some example code.
"""
# setup the flow
flow = Flow(name="stopping the flow")
outer = ForLoop()
outer.config["max"] = 10
flow.actors.append(outer)
ssv = SetStorageValue()
ssv.config["storage_name"] = "current"
flow.actors.append(ssv)
tee = Tee()
tee.config["condition"] = "@{current} == 7"
flow.actors.append(tee)
stop = Stop()
tee.actors.append(stop)
console = Console()
flow.actors.append(console)
# run the flow
msg = flow.setup()
if msg is None:
print("\n" + flow.tree + "\n")
msg = flow.execute()
if msg is not None:
print("Error executing flow:\n" + msg)
else:
print("Error setting up flow:\n" + msg)
flow.wrapup()
flow.cleanup()