class Outputs:
selected_documents = Output("Selected Documents", Corpus)
concordances = Output("Concordances", Corpus)
class Outputs:
data = Output("Data", Table)
class Outputs:
data = Output("Epoch data", mne.Epochs)
class Outputs:
calibrated_model = Output("校准的模型(Calibrated Model)",
Model,
replaces=['Calibrated Model'])
class Outputs:
data = Output("Data", Table)
features = Output("Features", AttributeList, dynamic=False)
class Outputs:
distances = Output("Distances", DistMatrix, dynamic=False)
table = Output("Selected Data", Table, replaces=["Table"])
class Outputs:
transformed_data = Output("转换的数据(Transformed Data)",
Table,
replaces=['Transformed Data'])
class Outputs:
corpus = Output("Corpus", Corpus)
class Outputs(OWDataProjectionWidget.Outputs):
subgraph = Output("Selected sub-network", network.Graph)
unselected_subgraph = Output("Remaining sub-network", network.Graph)
distances = Output("Distance matrix", Orange.misc.DistMatrix)
class Outputs:
data = Output("Data", Table, dynamic=False)
class Outputs:
matching_data = Output("Matching Data", Table)
rules = Output("Association Rules", object)
class Outputs:
selected_documents = Output("Selected Documents", Corpus)
class Outputs:
transformed_data = Output("Transformed Data", Table)
class Outputs(OWDataProjectionWidget.Outputs):
features = Output("Features", AttributeList, dynamic=False)
class Outputs:
# if there are two or more outputs, default=True marks the default output
data = Output("Data", Table, default=True)
class Outputs:
inliers = Output("Inliers", Table)
outliers = Output("Outliers", Table)
class Outputs:
pivot_table = Output("Pivot Table", Table, default=True)
filtered_data = Output("Filtered Data", Table)
grouped_data = Output("Grouped Data", Table)
class Outputs:
reduced_data = Output("Reduced Data", Table, default=True)
scores = Output("Scores", Table)
features = Output("Features", AttributeList, dynamic=False)
class Outputs:
time_series = Output("Time series", Timeseries)
class Outputs:
transformed_data = Output("Transformed data", Table)
components = Output("Components", Table)
pca = Output("PCA", PCA, dynamic=False)
preprocessor = Output("Preprocessor", Preprocess)
class Outputs:
selected_data = Output("Selected Data", Table, default=True)
annotated_data = Output(ANNOTATED_DATA_SIGNAL_NAME, Table)
class Outputs:
reduced_data = Output("Reduced Data", Table, default=True)
scores = Output("Scores", Table)
class Outputs:
selected_data = Output("Selected Data", Orange.data.Table, default=True)
annotated_data = Output(ANNOTATED_DATA_SIGNAL_NAME, Orange.data.Table)
features = Output("Features", widget.AttributeList, dynamic=False)
class Outputs:
selected_data = Output("Selection", Orange.data.Table, default=True)
annotated_data = Output(ANNOTATED_DATA_SIGNAL_NAME, Orange.data.Table)
class Outputs:
data = Output("Data", Orange.data.Table)
class Outputs:
predictions = Output("Predictions", Orange.data.Table)
evaluation_results = Output("Evaluation Results", Results)
class Outputs:
predictions = Output("Predictions", Table)
evaluations_results = Output("Evaluation Results", Results)
class Outputs:
preprocessor = Output("Preprocessor",
preprocess.preprocess.Preprocess,
dynamic=False)
preprocessed_data = Output("Preprocessed Data", Orange.data.Table)
class Outputs:
explanations = Output("Explanations", Table)
class Outputs(OWDataProjectionWidget.Outputs):
components = Output("Components", Table)
preprocessor = Output("Preprocessor", Preprocess)
