class Inputs:
data = Input("数据(Data)", Table, default=True, replaces=['Data'])
template_data = Input("模板数据(Template Data)",
Table,
replaces=['Template Data'])
class Inputs:
data = Input("Data", Table)
scorer = Input("Scorer", score.Scorer, multiple=True)
class Inputs:
data = Input("Data", Table)
class Inputs:
data = Input("数据(Data)", (Orange.data.Table, Orange.misc.DistMatrix),
replaces=["Data"])
class Inputs:
data = Input("Data", Table, default=True)
features = Input("Features", AttributeList)
class Inputs:
data = Input("Data", Table, default=True)
data_subset = Input("Data Subset", Table)
learner = Input("Learner", Learner)
class Inputs:
items = Input("Items", Table)
class Inputs:
data = Input("Data", Table, default=True)
model = Input("Model", Model, multiple=False)
sample = Input("Sample", Table)
class Inputs:
data = Input("Data", Orange.data.Table, default=True)
class Inputs:
train_data = Input("Data", Table, default=True)
test_data = Input("Test Data", Table)
learner = Input("Learner", Learner, multiple=True)
preprocessor = Input("Preprocessor", Preprocess)
class Inputs:
data = Input("Epoch data", mne.Epochs)
class Inputs:
classifier = Input("Classifier", Model)
data = Input("Data", Table)
class Inputs:
evaluation_results = Input("评估结果(Evaluation Results)",
Results,
replaces=['Evaluation Results'])
class Inputs:
data = Input("Data", Table, multiple=True)
class Inputs:
fitted_fusion_graph = Input("Fitted fusion graph", FittedFusionGraph)
class Inputs:
corpus = Input("Corpus", Corpus, default=True)
topic = Input("Topic", Topic)
class Inputs:
time_series = Input("Time series", Table)
class Inputs:
distances = Input("Distances", DistMatrix)
class Inputs:
data = Input("Data", Table)
reference = Input("Reference", Table)
class Inputs:
model = Input("模型(Model)", Model, replaces=['Model'])
class Inputs:
data = Input("数据(Data)", Table, default=True, replaces=["Data"])
features = Input("特征(Features)", AttributeList, replaces=["Features"])
class Inputs:
data = Input("Data", Orange.data.Table)
learner = Input("Learner",
Orange.classification.Learner,
multiple=True)
class Inputs(OWDataProjectionWidget.Inputs):
features = Input("Features", AttributeList)
class Inputs:
data = Input("Data", Orange.data.Table)
predictors = Input("Predictors", Model, multiple=True)
class Inputs:
data = Input("Data", Table, default=True)
class Inputs:
model = Input("Model", Model)
background_data = Input("Background Data", Table)
data = Input("Data", Table)
class Inputs:
data = Input("Data", Orange.data.Table)
class Inputs:
evaluation_results = Input("Evaluation Results",
Orange.evaluation.Results)
class Inputs:
distances = Input("Distances", Orange.misc.DistMatrix)
class Inputs:
data = Input("数据(Data)",
Table,
doc="Set the input dataset",
replaces=["Data"])
