Values hstack folder

operators.val.values_hstack_folder(client, folder_values1_in='/folder_values1_in', folder_values2_in='/folder_values2_in', folder_values_out='/folder_values_out', dtype='str', worker_instance_type='x2large', manager_instance_type='small', extension_file_values1_in='.npy', extension_file_values2_in='.npy', extension_file_values_out='.npy', skip_existing_files=False)

values_hstack_folder(client,
folder_values1_in=’/folder_values1_in’,
folder_values2_in=’/folder_values2_in’,
folder_values_out=’/folder_values_out’,
dtype=’str’,
worker_instance_type=’x2large’,
manager_instance_type=”small”,
extension_folder_values1_in=”.npy”,
extension_folder_values2_in=”.npy”,
extension_folder_values_out=”.npy”,
skip_existing_files = False )
Parameters:
  • dtype – data type

  • folder_values1_in – input folder [.npy, .labels or .txt]

  • folder_values2_in – input folder [.npy, .labels or .txt]

  • 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_values1_in – File extension of files in folder for folder_values1_in

  • extension_folder_values2_in – File extension of files in folder for folder_values2_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