Open tkeyo opened 9 months ago
Hi. Is this getting any work? I'm using flaml==2.1.1
and I'm facing the same problem!
I may try to contribute in this issue in some free time at January
Hi. Is this getting any work? I'm using
flaml==2.1.1
and I'm facing the same problem! I may try to contribute in this issue in some free time at January
This seems to be a problem with the datetime
column as index in the training dataset. I move the index into a column and fit/predict and (de)serialization works as expected.
Apologies for taking a while to reply. Can you please also provide code for creating an example dataset of the kind that causes the error (X* and y*), so I can reproduce locally?
In general, FLAML TS expects the time to be provided as a column in the input dataframe (time_col
argument to fit()
, defaulting to the first column of the dataframe). Are you saying if you do this and then the index is also time-valued, the error arises?
Hi,
I use
FLAML==2.1.0
. I tried the timeseries forecasting tutorials which worked. When I use my own data I run intoKeyError
/ValueError
issues when I try topredict()
on the test data.My assumption is that there are features created during the fitting process. The model is trained with these features but the
predict()
method does not preprocesses the test data and expects the already feature engineered dataframe.I think this issue is related to this one ? Prediction problem for component models while using ensembling
Is there are workaround - Ex: Extract the transformer to preprocess the data to the expected format?
Input data Contains only 2 columns
RangeIndex
float
Fit code
Predict Code
Output -
prophet
Output -
arima
Output -
sarimax