foundry/foundry.py
def load_data(self, source_id=None, globus=True):
        """Load in the data associated with the prescribed dataset

        Tabular Data Type: Data are arranged in a standard data frame
        stored in self.dataframe_file. The contents are read, and

        File Data Type: <<Add desc>>

        For more complicated data structures, users should
        subclass Foundry and override the load_data function

        Args:
           inputs (list): List of strings for input columns
           targets (list): List of strings for output columns

        Returns
        -------s
             (tuple): Tuple of X, y values
        """
        data = {}

        # Handle splits if they exist. Return as a labeled dictionary of tuples
        try:
            if self.dataset.splits:
                for split in self.dataset.splits:
                    data[split.label] = self._load_data(file=split.path,
                                                        source_id=source_id, globus=globus)
                return data
            else:
                return {"data": self._load_data(source_id=source_id, globus=globus)}
        except Exception as e:
            raise Exception(
                "Metadata not loaded into Foundry object, make sure to call load()") from e
Load in the data associated with the prescribed dataset

        Tabular Data Type: Data are arranged in a standard data frame
        stored in self.dataframe_file. The contents are read, and

        File Data Type: <<Add desc>>

        For more complicated data structures, users should
        subclass Foundry and override the load_data function

        Args:
           inputs (list): List of strings for input columns
           targets (list): List of strings for output columns

        Returns
        -------s
             (tuple): Tuple of X, y values
        
Load in the data associated with the prescribed dataset
Tabular Data Type: Data are arranged in a standard data frame
stored in self.dataframe_file. The contents are read, and

File Data Type: <>

For more complicated data structures, users should
subclass Foundry and override the load_data function
Load in the data associated with the prescribed dataset Tabular Data Type : Data are arranged in a standard data frame stored in self . dataframe_file . The contents are read and File Data Type : < > For more complicated data structures users should subclass Foundry and override the load_data function
def load_data(self, source_id=None, globus=True):
        data = {}
        try:
            if self.dataset.splits:
                for split in self.dataset.splits:
                    data[split.label] = self._load_data(file=split.path,
                                                        source_id=source_id, globus=globus)
                return data
            else:
                return {"data": self._load_data(source_id=source_id, globus=globus)}
        except Exception as e:
            raise Exception(
                "Metadata not loaded into Foundry object, make sure to call load()") from e
def load_data ( self , source_id = None , globus = True ) : data = { } try : if self . dataset . splits : for split in self . dataset . splits : data [ split . label ] = self . _load_data ( file = split . path , source_id = source_id , globus = globus ) return data else : return { "data" : self . _load_data ( source_id = source_id , globus = globus ) } except Exception as e : raise Exception ( "Metadata not loaded into Foundry object, make sure to call load()" ) from e
Load in the data associated with the prescribed dataset
Tabular Data Type: Data are arranged in a standard data frame
stored in self.dataframe_file.
Load in the data associated with the prescribed dataset Tabular Data Type : Data are arranged in a standard data frame stored in self . dataframe_file .
"""Load in the data associated with the prescribed dataset

        Tabular Data Type: Data are arranged in a standard data frame
        stored in self.dataframe_file. The contents are read, and

        File Data Type: <<Add desc>>

        For more complicated data structures, users should
        subclass Foundry and override the load_data function

        Args:
           inputs (list): List of strings for input columns
           targets (list): List of strings for output columns

        Returns
        -------s
             (tuple): Tuple of X, y values
        """ # Handle splits if they exist. Return as a labeled dictionary of tuples
self
source_id
globus
inputs
List of strings for input columns
List of strings for input columns
targets
List of strings for output columns
List of strings for output columns