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machine_learning/forecasting/run.py::machine_learning.forecasting.run.sarimax_predictor
/opt/hostedtoolcache/Python/3.10.7/x64/lib/python3.10/site-packages/statsmodels/tsa/statespace/sarimax.py:866: UserWarning: Too few observations to estimate starting parameters for ARMA and trend. All parameters except for variances will be set to zeros.
warn('Too few observations to estimate starting parameters%s.'
machine_learning/forecasting/run.py::machine_learning.forecasting.run.sarimax_predictor
/opt/hostedtoolcache/Python/3.10.7/x64/lib/python3.10/site-packages/statsmodels/tsa/statespace/sarimax.py:866: UserWarning: Too few observations to estimate starting parameters for seasonal ARMA. All parameters except for variances will be set to zeros.
warn('Too few observations to estimate starting parameters%s.'
machine_learning/forecasting/run.py::machine_learning.forecasting.run.sarimax_predictor
/opt/hostedtoolcache/Python/3.10.7/x64/lib/python3.10/site-packages/numpy/core/fromnumeric.py:3715: RuntimeWarning: Degrees of freedom <= 0 for slice
return _methods._var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
machine_learning/forecasting/run.py::machine_learning.forecasting.run.sarimax_predictor
/opt/hostedtoolcache/Python/3.10.7/x64/lib/python3.10/site-packages/numpy/core/_methods.py:223: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean, casting='unsafe',
machine_learning/forecasting/run.py::machine_learning.forecasting.run.sarimax_predictor
/opt/hostedtoolcache/Python/3.10.7/x64/lib/python3.10/site-packages/numpy/core/_methods.py:257: RuntimeWarning: invalid value encountered in double_scalars
ret = ret.dtype.type(ret / rcount)
Feature description
@nandiya Please could you resolve this warning
origin: #7211
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