Masked assign constant folder

operators.val.masked_assign_constant_folder(client, folder_values_in='/folder_values_in', constant=0.0, folder_mask_in='/folder_mask_in', folder_values_out='/folder_values_out', worker_instance_type='x2large', manager_instance_type='small', extension_file_values_in='.npy', extension_file_mask_in='.npy', extension_file_values_out='.npy', skip_existing_files=False)

masked_assign_constant_folder(client,

folder_values_in=’/folder_values_in’,

constant=0.0,

folder_mask_in=’/folder_mask_in’,

folder_values_out=’/folder_values_out’,

worker_instance_type=’x2large’,

manager_instance_type=”small”,

extension_folder_values_in=”.npy”,

extension_folder_mask_in=”.npy”,

extension_folder_values_out=”.npy”,

skip_existing_files = False )

Parameters:

• constant – constant value to assign

• folder_values_in – input folder [.txt or .npy]

• folder_mask_in – input folder that contains [0,1] values

• folder_values_out – output folder [.txt or .npy]

• worker_instance_type – cloud instance type of worker nodes

• manager_instance_type – cloud instance type of manager node

• extension_folder_values_in – File extension of files in folder for folder_values_in

• extension_folder_mask_in – File extension of files in folder for folder_mask_in

• extension_folder_values_out – File extension of files in folder for folder_values_out

• skip_existing_files – skip files that already exist in the output folder