class Inputs: df = widget.Input('df', pyspark.sql.DataFrame, default=True) df1 = widget.Input('df1', pyspark.sql.DataFrame) df2 = widget.Input('df2', pyspark.sql.DataFrame) df3 = widget.Input('df3', pyspark.sql.DataFrame) transformer = widget.Input('transformer', pyspark.ml.Transformer) estimator = widget.Input('transformer', pyspark.ml.Estimator) model = widget.Input('model', pyspark.ml.Model) data = widget.Input('data', object)
class Inputs: data = widget.Input("Data", Orange.data.Table)
class Inputs: data = widget.Input("Data", Table)
class Inputs(SparkTransformer.Inputs): Model = widget.Input("Model", Model)
class Inputs: data = widget.Input("Data Frame", DisplayData,)
class Inputs: DataFrame = widget.Input('DataFrame', pyspark.sql.DataFrame)
class Inputs: data = widget.Input("数据(Data)", Table, replaces=['Data'])
class Inputs(widget.OWWidget.Inputs): data = widget.Input('Data', Table)
class Inputs: data = widget.Input("Data", resolwe.Data)
class Inputs: DataFrame1 = widget.Input('DataFrame1', pyspark.sql.DataFrame) Model1 = widget.Input('Model1', pyspark.ml.Model) DataFrame2 = widget.Input('DataFrame2', pyspark.sql.DataFrame) Model2 = widget.Input('Model2', pyspark.ml.Model)
class Inputs: figure = widget.Input("Figure", go.Figure)
class Inputs: DataFrame = widget.Input('DataFrame', DataFrame)
class Inputs: DataFrame1 = widget.Input('DataFrame1', DataFrame, id='df1') DataFrame2 = widget.Input('DataFrame2', DataFrame, id='df2')
class Inputs(SparkTransformer.Inputs): Transformer = widget.Input("Transformer", Transformer)
class Inputs: DataFrame = widget.Input("DataFrame", pyspark.sql.DataFrame)