Displaying 2 results from an estimated 2 matches for "fit1_acry".
2018 Jun 01
0
Issue with batch forecasting of Time series data
...",
"Hi_80 ",
"Lo_95",
"Hi_95"
)
for (i in Products) {
train = head(input_data["PERCENT_USED"][input_data["Server.Name"]==i] , 90)
train = ts(train[1:(length(train))])
fc1 = auto.arima(train)
pred1 = forecast( fc1)
fit1_acry = accuracy(pred1)
fc2 = ets(train)
pred2 = forecast( fc2 )
fit2_acry = accuracy(pred2 )
MAPE = data.frame ( fit1_MAPE = fit1_acry[,'MAPE'],
fit2_MAPE = fit2_acry[,'MAPE']
)
best = which.min(MAPE)
BestModel = get(paste('fc',best,sep=...
2018 May 27
0
Help required in Batch Forecasting
...",
"Hi_80 ",
"Lo_95",
"Hi_95"
)
for (i in Products) {
train = head(input_data["PERCENT_USED"][input_data["Server.Name"]==i] , 90)
train = ts(train[1:(length(train))])
fc1 = auto.arima(train)
pred1 = forecast( fc1)
fit1_acry = accuracy(pred1)
fc2 = ets(train)
pred2 = forecast( fc2 )
fit2_acry = accuracy(pred2 )
MAPE = data.frame ( fit1_MAPE = fit1_acry[,'MAPE'],
fit2_MAPE = fit2_acry[,'MAPE']
)
best = which.min(MAPE)
BestModel = get(paste('fc',best,sep=...