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()
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()
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()
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()
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()
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()
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()
def main():
"""
Just runs some example code.
"""
# setup the flow
count = 50
helper.print_title("build clusterer incrementally")
iris = helper.get_data_dir() + os.sep + "iris.arff"
flow = Flow(name="build clusterer incrementally")
filesupplier = FileSupplier()
filesupplier.config["files"] = [iris]
flow.actors.append(filesupplier)
initcounter = InitStorageValue()
initcounter.config["storage_name"] = "counter"
initcounter.config["value"] = 0
flow.actors.append(initcounter)
loaddataset = LoadDataset()
loaddataset.config["incremental"] = True
flow.actors.append(loaddataset)
remove = Filter(name="remove class attribute")
remove.config["setup"] = filters.Filter(
classname="weka.filters.unsupervised.attribute.Remove",
options=["-R", "last"])
flow.actors.append(remove)
inccounter = UpdateStorageValue()
inccounter.config["storage_name"] = "counter"
inccounter.config["expression"] = "{X} + 1"
flow.actors.append(inccounter)
train = Train()
train.config["setup"] = Clusterer(classname="weka.clusterers.Cobweb")
flow.actors.append(train)
pick = ContainerValuePicker()
pick.config["value"] = "Model"
pick.config["switch"] = True
flow.actors.append(pick)
tee = Tee(name="output model every " + str(count) + " instances")
tee.config["condition"] = "@{counter} % " + str(count) + " == 0"
flow.actors.append(tee)
trigger = Trigger(name="output # of instances")
tee.actors.append(trigger)
getcounter = GetStorageValue()
getcounter.config["storage_name"] = "counter"
trigger.actors.append(getcounter)
console = Console()
console.config["prefix"] = "# of instances: "
trigger.actors.append(console)
console = Console(name="output model")
tee.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()
def main():
"""
Just runs some example code.
"""
# setup the flow
count = 50
helper.print_title("build clusterer incrementally")
iris = helper.get_data_dir() + os.sep + "iris.arff"
flow = Flow(name="build clusterer incrementally")
filesupplier = FileSupplier()
filesupplier.config["files"] = [iris]
flow.actors.append(filesupplier)
initcounter = InitStorageValue()
initcounter.config["storage_name"] = "counter"
initcounter.config["value"] = 0
flow.actors.append(initcounter)
loaddataset = LoadDataset()
loaddataset.config["incremental"] = True
flow.actors.append(loaddataset)
remove = Filter(name="remove class attribute")
remove.config["setup"] = filters.Filter(classname="weka.filters.unsupervised.attribute.Remove", options=["-R", "last"])
flow.actors.append(remove)
inccounter = UpdateStorageValue()
inccounter.config["storage_name"] = "counter"
inccounter.config["expression"] = "{X} + 1"
flow.actors.append(inccounter)
train = Train()
train.config["setup"] = Clusterer(classname="weka.clusterers.Cobweb")
flow.actors.append(train)
pick = ContainerValuePicker()
pick.config["value"] = "Model"
pick.config["switch"] = True
flow.actors.append(pick)
tee = Tee(name="output model every " + str(count) + " instances")
tee.config["condition"] = "@{counter} % " + str(count) + " == 0"
flow.actors.append(tee)
trigger = Trigger(name="output # of instances")
tee.actors.append(trigger)
getcounter = GetStorageValue()
getcounter.config["storage_name"] = "counter"
trigger.actors.append(getcounter)
console = Console()
console.config["prefix"] = "# of instances: "
trigger.actors.append(console)
console = Console(name="output model")
tee.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()
