Hi, team, I’m aware of the fact that Flytekit automatically converts Python type hint into Flyte type hint.

# Creating the Multiple Linear Regression model
def build_model(model, X_train: pd.DataFrame, y_train: pd.DataFrame):
    # Use the following values: model = LinearRegression(), X_train = X_train, y_train =    y_train
    reg = model
    reg.fit(X_train, y_train)
    return reg

I’m using

int

,

float

,

pd.DataFrame

,

np.ndarray

etc. as my type hints. My question is what type hint do I use for the argument

model

and since it is returning the model, what type hint should I use for

reg

?

If you simply return the model, that’s ok it will be pickled

Hi, @freezing-airport-6809 does that mean Flyte will not have issues if I don’t add any type hint to the model? I thought type hinting is a pre-requisite for Flyte to work. Also, if I have to use a type hint, can I use the following?

from sklearn.base import RegressorMixin

def build_model(model: RegressorMixin, X_train: pd.DataFrame, y_train: pd.DataFrame) -> RegressorMixin:
    # Use the following values: model = LinearRegression(), X_train = X_train, y_train =    y_train
    reg = model
    reg.fit(X_train, y_train)
    return reg

Since all regression models inherit from

sklearn.base.RegressorMixin

Can we do this?

You can always type Hint, it will use pickle As a last resolve

But what about other arguments like int, float, pd.DataFrame, etc. If I don’t use those, will Flyte show me any error?

No you always have to use type hints

I see! Thanks.