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"])