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Describe the bug
LazyRegressor output (prediction) array produces a single near-constant value for all items within a model. This does not begin to describe the data. Data input is (very loosely) sinusoidal in shape. This occurs with both real and standardized values.
To Reproduce
Steps to reproduce the behaviour:
following the regression example within the documentation
Expected behaviour
Different values within the prediction data frame should not all have the same prediction value.
Desktop (please complete the following information):
OS: MAC
The text was updated successfully, but these errors were encountered:
Describe the bug
LazyRegressor output (prediction) array produces a single near-constant value for all items within a model. This does not begin to describe the data. Data input is (very loosely) sinusoidal in shape. This occurs with both real and standardized values.
To Reproduce
Steps to reproduce the behaviour:
following the regression example within the documentation
Expected behaviour
Different values within the prediction data frame should not all have the same prediction value.
Desktop (please complete the following information):
The text was updated successfully, but these errors were encountered: