Simple overview of use/purpose.
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#sklearn.metrics has a mean_squared_error function. The RMSE is just the square root of whatever it returns. | |
#source:https://intellipaat.com/community/1269/is-there-a-library-function-for-root-mean-square-error-rmse-in-python | |
from sklearn.metrics import mean_squared_error | |
from math import sqrt | |
rms = sqrt(mean_squared_error(y_actual, y_predicted)) |
# See http://help.github.com/ignore-files/ for more about ignoring files. | |
# compiled output | |
/dist | |
/tmp | |
/out-tsc | |
# Runtime data | |
pids | |
*.pid |