Nothing
## ---- echo = FALSE------------------------------------------------------------
library(knitr)
data <- data.frame(row = seq(9),
time = as.Date("2017-01-02") + seq(9),
target = c(16443, 3013, 1643, rep(NA, 6)),
temp = c(72, 72, 68, rep(NA, 6)))
kable(data)
## ---- echo = FALSE------------------------------------------------------------
library(knitr)
data <- data.frame(row = seq(9),
time = as.Date("2017-01-02") + seq(9),
target = c(16443, 3013, 1643, rep(NA, 6)),
holiday = c(TRUE, rep(FALSE, 5), TRUE, rep(FALSE, 2)))
kable(data)
## ----results = "asis", message = FALSE, warning = FALSE, eval = FALSE---------
# partition <- CreateDatetimePartitionSpecification(datetimePartitionColumn = "timestamp",
# useTimeSeries = TRUE)
# StartProject(dataSource = data, target = "target", partition = partition, metric = "RMSE")
## ----results = "asis", message = FALSE, warning = FALSE, eval = FALSE---------
# partition <- CreateDatetimePartitionSpecification(datetimePartitionColumn = "timestamp",
# featureDerivationWindowStart = -24,
# featureDerivationWindowEnd = -12,
# useTimeSeries = TRUE)
## ----results = "asis", message = FALSE, warning = FALSE, eval = FALSE---------
# partition <- CreateDatetimePartitionSpecification(datetimePartitionColumn = "timestamp",
# forecastWindowStart = 1,
# forecastWindowEnd = 10,
# useTimeSeries = TRUE)
## ----results = "asis", message = FALSE, warning = FALSE, eval = FALSE---------
# predictions <- Predict(timeSeriesModel, testData, forecastPoint = "1958-01-01")
## ----results = "asis", message = FALSE, warning = FALSE, eval = FALSE---------
# partition <- CreateDatetimePartitionSpecification(datetimePartitionColumn = "timestamp",
# useTimeSeries = TRUE,
# featureSettings = list("featureName" = "holiday",
# "knownInAdvance" = TRUE))
# project <- StartProject(data,
# projectName = "test-TimeSeries",
# target = "target",
# partition = partition,
# metric = "RMSE")
## ----results = "asis", message = FALSE, warning = FALSE, eval = FALSE---------
# partition <- CreateDatetimePartitionSpecification(datetimePartitionColumn = "timestamp",
# useTimeSeries = TRUE,
# featureSettings = list(list("featureName" = "holiday",
# "knownInAdvance" = TRUE),
# list("featureName" = "weekend",
# "knownInAdvance" = TRUE)))
## ----results = "asis", message = FALSE, warning = FALSE, eval = FALSE---------
# data <- read.csv(system.file("extdata", "multiseries.csv", package = "datarobot"))
# partition <- CreateDatetimePartitionSpecification(datetimePartitionColumn = "timestamp",
# useTimeSeries = TRUE,
# multiseriesIdColumns = "series_id")
# project <- StartProject(data,
# projectName = "test-TimeSeries",
# target = "target",
# partition = partition,
# metric = "RMSE",
# mode = AutopilotMode$Manual,
# targetType = "Regression")
## ----results = "asis", message = FALSE, warning = FALSE, eval = FALSE---------
# partition <- CreateDatetimePartitionSpecification(datetimePartitionColumn = "timestamp",
# useTimeSeries = TRUE,
# featureSettings = list(list("featureName" = "sales",
# "doNotDerive" = TRUE)))
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