Mean Squared Error

class pycast.errors.meansquarederror.MeanSquaredError(minimalErrorCalculationPercentage=60)

Bases: pycast.errors.baseerrormeasure.BaseErrorMeasure

Implements the mean squared error measure.

Explanation:

http://en.wikipedia.org/wiki/Mean_squared_error

_calculate(startingPercentage, endPercentage, startDate, endDate)

This is the error calculation function that gets called by BaseErrorMeasure.get_error().

Both parameters will be correct at this time.

Parameters:

• startingPercentage (float) – Defines the start of the interval. This has to be a value in [0.0, 100.0]. It represents the value, where the error calculation should be started. 25.0 for example means that the first 25% of all calculated errors will be ignored.
• endPercentage (float) – Defines the end of the interval. This has to be a value in [0.0, 100.0]. It represents the value, after which all error values will be ignored. 90.0 for example means that the last 10% of all local errors will be ignored.
• startDate (float) – Epoch representing the start date used for error calculation.
• endDate (float) – Epoch representing the end date used in the error calculation.

Returns:

Returns a float representing the error.

Return type:

float

local_error(originalValue, calculatedValue)

Calculates the error between the two given values.

Parameters:

• originalValue (list) – List containing the values of the original data.
• calculatedValue (list) – List containing the values of the calculated TimeSeries that corresponds to originalValue.

Returns:

Returns the error measure of the two given values.

Return type:

numeric