def inputs(self): return { "timestamp_folder": File_Txt(self.node.inputs[0]), "pathTocredentials": ReadDaggitTask_Folderpath(self.node.inputs[1]), "categoryLookup": ReadDaggitTask_Folderpath(self.node.inputs[2]) }
def inputs(self): return { "DS_DATA_HOME": ReadDaggitTask_Folderpath(self.node.inputs[0]), "pathTocredentials": ReadDaggitTask_Folderpath(self.node.inputs[1]), "localpathTocontentMeta": Pandas_Dataframe(self.node.inputs[2]) }
def inputs(self): return { "pathTotaxonomy": Pandas_Dataframe(self.node.inputs[0]), "categoryLookup": ReadDaggitTask_Folderpath(self.node.inputs[1]), "timestamp_folder": File_Txt(self.node.inputs[2]), "pathTocredentials": ReadDaggitTask_Folderpath(self.node.inputs[3]) }
def inputs(self): return { "DS_DATA_HOME": ReadDaggitTask_Folderpath(self.node.inputs[0]), "pathTocredentials": ReadDaggitTask_Folderpath(self.node.inputs[1]), "pathTotriggerJson": ReadDaggitTask_Folderpath(self.node.inputs[2]) }
def inputs(self): return { "pathTotaxonomy": Pandas_Dataframe(self.node.inputs[0]), "categoryLookup": ReadDaggitTask_Folderpath(self.node.inputs[1]), "pathTotimestampfolder": ReadDaggitTask_Folderpath(self.node.inputs[2]), "pathTocorpus": ReadDaggitTask_Folderpath(self.node.inputs[3]) }
def inputs(self): return { "localpathTocontentMeta": Pandas_Dataframe(self.node.inputs[0]), "pathTotaxonomy": Pandas_Dataframe(self.node.inputs[1]), "pathToroot": ReadDaggitTask_Folderpath(self.node.inputs[2]), "pathTocorpusfolder": ReadDaggitTask_Folderpath(self.node.inputs[3]) }
def inputs(self): return { "pathTotimestampfolder": ReadDaggitTask_Folderpath(self.node.inputs[0]), "pathToobservedtag": ReadDaggitTask_Folderpath(self.node.inputs[1]), "pathTopredictedtag": ReadDaggitTask_Folderpath(self.node.inputs[2]) }
def inputs(self): return { "data1": Pandas_Dataframe(self.node.inputs[0]), "data2": Pandas_Dataframe(self.node.inputs[1]), "data3": Pandas_Dataframe(self.node.inputs[2]), "data4": Pandas_Dataframe(self.node.inputs[3]), "models1": ReadDaggitTask_Folderpath(self.node.inputs[4]), "models2": ReadDaggitTask_Folderpath(self.node.inputs[5]), "models3": ReadDaggitTask_Folderpath(self.node.inputs[6]), "models4": ReadDaggitTask_Folderpath(self.node.inputs[7]) }
def inputs(self): """ Inputs needed to create DTB :returns: toc and text files """ return { "toc_csv_file": ReadDaggitTask_Folderpath(self.node.inputs[0]), "extract_text_file": ReadDaggitTask_Folderpath(self.node.inputs[1]), }
def inputs(self): """ Function that the OcrTextExtraction operator defines while returning graph inputs :returns: Inputs to the node of the Auto tagging graph DS_DATA_HOME: a localpath where the folders get created pathTocredentials: path to config file with credentials pathToPDF: path to PDF file """ return { "DS_DATA_HOME": ReadDaggitTask_Folderpath(self.node.inputs[0]), "pathTocredentials": ReadDaggitTask_Folderpath(self.node.inputs[1]), "pathToPDF": ReadDaggitTask_Folderpath(self.node.inputs[2]) }
def inputs(self): """ Function that the ContentToTextRead operator defines while returning graph inputs :returns: Inputs to the node of the Auto tagging graph DS_DATA_HOME: a localpath where the folders get created localpathTocontentMeta: path to content meta pathTocredentials: path to config file with credentials """ return { "DS_DATA_HOME": ReadDaggitTask_Folderpath(self.node.inputs[0]), "localpathTocontentMeta": ReadDaggitTask_Folderpath(self.node.inputs[1]), "pathTocredentials": ReadDaggitTask_Folderpath(self.node.inputs[2]) }
def inputs(self): return { "localpathTocontentMeta": ReadDaggitTask_Folderpath(self.node.inputs[0]), "pathTotaxonomy": Pandas_Dataframe(self.node.inputs[1]), "path_to_timestampFolder": File_Txt(self.node.inputs[2]) }
def inputs(self): return { "pathTotaxonomy": Pandas_Dataframe(self.node.inputs[0]), "pathTocontents": ReadDaggitTask_Folderpath(self.node.inputs[1]) }
def inputs(self): return [ os.path.dirname(ReadDaggitTask_Folderpath(x).read_loc()) for x in self.node.inputs ]
def outputs(self): return { "models_dir": os.path.dirname( ReadDaggitTask_Folderpath(self.node.outputs[0]).read_loc()) }
def inputs(self): return { "pathTocredentials": ReadDaggitTask_Folderpath(self.node.inputs[0]), "pathTocontentMeta": File_Txt(self.node.inputs[1]) }
def inputs(self): return {"features": Pandas_Dataframe(self.node.inputs[0]), "split": Pandas_Dataframe(self.node.inputs[1]), "modelgrids": [os.path.dirname(ReadDaggitTask_Folderpath(x).read_loc()) for x in self.node.inputs][2:]}
def inputs(self): return { "pathTotimestampfolder": ReadDaggitTask_Folderpath(self.node.inputs[0]) }
def outputs(self): return {"models": ReadDaggitTask_Folderpath(self.node.outputs[0])}