Universal inference folder

operators.ml3d.universal_inference_folder(client, in_folders='/in_folders', out_folders='/out_folders', in_model_path='parameters_model', worker_instance_type='x2large', manager_instance_type='small', extension_in_files='.laz', extension_out_files='.laz', skip_existing_files=False)

universal_inference_folder(client,

in_folders=’/in_folders’,

out_folders=’/out_folders’,

in_model_path=’parameters_model’,

worker_instance_type=’x2large’,

manager_instance_type=”small”,

extension_in_folders=”.data_eval”,

extension_out_folders=”.results”,

skip_existing_files = False )

Parameters:

• in_model_path – model path

• in_folders – input folders with training data

• out_folders – output folders with training data

• worker_instance_type – cloud instance type of worker nodes

• manager_instance_type – cloud instance type of manager node

• extension_in_folders – File extension of files in folder for in_folders

• extension_out_folders – File extension of files in folder for out_folders

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