Distance#
- class Distance[source]#
Bases:
object- static SSE(predicted, observed, **kwargs)[source]#
Compute the sum of squared errors (SSE).
- Parameters:
- predictedarray_like
The predicted values.
- observedarray_like
The observed values.
- Returns:
floatThe sum of squared errors.
- static MSE(predicted, observed, **kwargs)[source]#
Compute the Mean Squared Errors (EDE).
- Parameters:
- predictedarray_like
The predicted values.
- observedarray_like
The observed values.
- Returns:
floatThe Euclidean distance.
- static RMSE(predicted, observed, **kwargs)[source]#
Compute the Root Mean Squared Errors (RMSE).
- Parameters:
- predictedarray_like
The predicted values.
- observedarray_like
The observed values.
- Returns:
floatThe Root Mean Squared Errors.