Matt Carrier
01/27/2023, 6:43 PMyuhan
01/27/2023, 6:57 PMMatt Carrier
01/27/2023, 9:46 PM@asset(compute_kind="python")
def order_forecast_model(daily_order_summary: pd.DataFrame) -> np.ndarray:
"""Model parameters that best fit the observed data."""
train_set = daily_order_summary.to_numpy()
xdata = pd.to_datetime(train_set[:,0]).astype(np.int64)
print(xdata)
print(train_set[:,2])
return optimize.curve_fit(
f=model_func, xdata=xdata, ydata=train_set[:, 2], p0=[10, 100]
)[0]