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The integration test fails quite often, passing NaN-containing inputs between nodes.
In examples/simple/time_series_forecasting/api_forecasting.py::run_ts_forecasting_example pass initial_assumption to a Fedot instance like so:
examples/simple/time_series_forecasting/api_forecasting.py::run_ts_forecasting_example
initial_assumption
def run_ts_forecasting_example(dataset='australia', horizon: int = 30, timeout: float = None, visualization=False, validation_blocks=2, with_tuning=True): train_data, test_data, label = get_ts_data(dataset, horizon, validation_blocks=validation_blocks) # init model for the time series forecasting model = Fedot(problem='ts_forecasting', task_params=Task(TaskTypesEnum.ts_forecasting, TsForecastingParams(forecast_length=horizon)).task_params, timeout=timeout, n_jobs=-1, metric='mae', with_tuning=with_tuning, initial_assumption=Pipeline().load('<path_to_troubled_pipeline_dir>')) ...
possibly related to issues with ETSModel #1285
The text was updated successfully, but these errors were encountered:
Note
One is welcomed to provide new troubled pipelines for this issue (If managed to save Pipeline obj before facing some kind of error).
Pipeline
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closed as irrelevant
Lopa10ko
No branches or pull requests
Current Behavior
The integration test fails quite often, passing NaN-containing inputs between nodes.
Troubled pipelines
Steps to reproduce
In
examples/simple/time_series_forecasting/api_forecasting.py::run_ts_forecasting_example
passinitial_assumption
to a Fedot instance like so:Context
possibly related to issues with ETSModel #1285
The text was updated successfully, but these errors were encountered: