multiclass classification problem using the averaging method specified intype. The function returns the average false positive rate (FPR) and the average true positive rate (TPR) for each threshold value inThresholds. The function also returnsAUC, the area under the ROC curve composed ofFPRandTPR....
The weighted average is the one that shows up in many areas of finance besides the buying price of the shares, including inventory accounting,portfolio returns, and valuation. For inventory accounting, the weighted average value of inventory accounts for ups and downs in commodity prices, for exam...
1],weights=[1,1]))# infprint(np.average([np.inf,1],weights=[1,0]))# infprint(np.average([np.inf,1],weights=[0,1]))# nan# RuntimeWarning: invalid value encountered in multiply avg = np.multiply(a, wgt,eps=sys.float_info.epsilonprint(np.average([np.inf,1],weights...
multiclass classification problem using the averaging method specified intype. The function returns the average false positive rate (FPR) and the average true positive rate (TPR) for each threshold value inThresholds. The function also returnsAUC, the area under the ROC curve composed ofFPRandTPR....
besides the purchase price of shares, includingportfolio returns, inventory accounting, and valuation. When a mutual fund that holds multiple securities is up 10% on the year, that 10% represents a weighted average of returns for the fund with respect to the value of each position in the ...
this is the part of code I'm trying to improve, especially the final part that returns total weighted average time spent: IF(HASONEVALUE(JE_Q[Time_Spent]),SUMX(VALUES(JE_Q[Time_Spent]),SUMX(_zTable,_Weight_Per * _Single)), SUMX ( VALUES ( JE_Q[Time_Spent]), CALCULATE ( DIVIDE...
Theweightedaveragematurityof anMBSistheweightedaverageoftheremainingterms to maturityofthemortgagesunderlyingthecollateral poolatthedateissue,usingastheweightingfactorthebalanceofeachofthemortgagesas oftheissuedate. Copyright©2012,Campbell R. Harvey.AllRightsReserved. ...
average() Return Value Thenumpy.average()method returns the weighted average of the array. Example 1: Find the Average of a ndArray importnumpyasnp# create an arrayarray1 = np.array([[[0,1], [2,3]], [[4,5], [6,7]]])
and returns {TRUE; FALSE; TRUE; FALSE; TRUE; TRUE}. Step 2 - Evaluate IF function The IF function returns one value if the logical test is TRUE and another value if the logical test is FALSE. IF(logical_test, [value_if_true], [value_if_false]) IF(B3:B8=F2,C3:C8,"") becomes...
and returns {TRUE; FALSE; TRUE; FALSE; TRUE; TRUE}. Step 2 - Evaluate IF function The IF function returns one value if the logical test is TRUE and another value if the logical test is FALSE. IF(logical_test, [value_if_true], [value_if_false]) IF(B3:B8=F2,C3:C8,"") becomes...