def init(model_type: str, model_name: str, target: str) -> None:
"""
Initialize a new igel project.
"""
Igel.create_init_mock_file(model_type=model_type,
model_name=model_name,
target=target)
def init(self, *args, **kwargs):
"""
initialize a dummy/default yaml file as a starting point. The user can provide args directly in the terminal
usage:
igel init <args>
if not args are provided, the user will be prompted to enter basic information.
"""
d = dict(self.dict_args)
d.pop("cmd")
if not d:
print(
f""
f"{'*' * 10} You entered interactive mode! {'*' * 10} \n"
f"This is happening because you didn't enter all mandatory arguments in order to use the cli\n"
f"Therefore, you will need to provide few information before proceeding.\n"
)
model_type = (input(
f"enter type of the problem you want to solve: [regression] "
) or "regression")
d["model_type"] = model_type
model_name = (input(
f"enter algorithm you want to use: [NeuralNetwork] ")
or "NeuralNetwork")
d["model_name"] = model_name
target = input(
f"enter the target you want to predict "
"(this is usually a column name in your csv dataset): ")
d["target"] = target
Igel.create_init_mock_file(**d)
def init(self, *args, **kwargs):
Igel.create_init_mock_file(**self.dict_args)
