Include pacakge related roxygen2 gfenerated files into the repo.

This commit is contained in:
Graham Williams 2017-03-22 11:31:24 +08:00
Родитель 8149f84ceb
Коммит 6ceb2709c8
16 изменённых файлов: 454 добавлений и 0 удалений

38
NAMESPACE Normal file
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# Generated by roxygen2: do not edit by hand
export(createComputeInterface)
export(dataConsumption)
export(deployDSVM)
export(deployDSVMCluster)
export(dumpInterface)
export(executeScript)
export(existsRG)
export(expenseCalculator)
export(fileTransfer)
export(getVMSizes)
export(operateDSVM)
export(pricingRates)
export(setConfig)
export(updateScript)
import(dplyr)
import(magrittr)
importFrom(XML,htmlParse)
importFrom(XML,xmlValue)
importFrom(XML,xpathApply)
importFrom(XML,xpathSApply)
importFrom(httr,GET)
importFrom(httr,POST)
importFrom(httr,PUT)
importFrom(httr,add_headers)
importFrom(httr,authenticate)
importFrom(httr,content)
importFrom(httr,headers)
importFrom(httr,http_status)
importFrom(httr,status_code)
importFrom(jsonlite,fromJSON)
importFrom(lubridate,hour)
importFrom(lubridate,minute)
importFrom(lubridate,second)
importFrom(stringr,str_c)
importFrom(stringr,str_detect)
importFrom(utils,URLencode)

12
man/AzureDSVM-package.Rd Normal file
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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/azureDSVM-package.R
\docType{package}
\name{AzureDSVM-package}
\alias{AzureDSVM}
\alias{AzureDSVM-package}
\title{AzureDSVM}
\description{
Support data science analytics with Azure resources.
}
\keyword{package}

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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/computeInterface.R
\name{createComputeInterface}
\alias{createComputeInterface}
\title{Create an compute interface object that handles interaction with remote instance.}
\usage{
createComputeInterface(remote, user, script, config)
}
\arguments{
\item{remote}{URL of remote instance.}
\item{user}{User name.}
\item{script}{R script with full path for execution at remote instance.}
\item{config}{Configuration for remote execution. Settings include computing context, data reference, etc.}
}
\value{
An S3 compute interface object.
}

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man/dataConsumption.Rd Normal file
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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/expenseCalculator.R
\name{dataConsumption}
\alias{dataConsumption}
\title{Get data consumption of an Azure subscription for a time period. Aggregation method can be either daily based or hourly based.}
\usage{
dataConsumption(context, instance, timeStart, timeEnd, granularity = "Hourly")
}
\arguments{
\item{context}{AzureSMR context object.}
\item{instance}{Instance of Azure instance name that one would like to check expense. For example, it can be the name of a virtual machine.}
\item{timeStart}{Start time.}
\item{timeEnd}{End time.}
\item{granularity}{Aggregation granularity. Can be either "Daily" or "Hourly".}
}
\note{
Formats of start time point and end time point follow ISO 8601 standard. Say if one would like to calculate data consumption between Feb 21, 2017 to Feb 25, 2017, the inputs should be "2017-02-21 00:00:00" and "2017-02-25 00:00:00", for start time point and end time point, respectively. For hourly based calculation, note there should be no minute and second included.
}

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man/deployDSVM.Rd Normal file
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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/deployDSVM.R
\name{deployDSVM}
\alias{deployDSVM}
\title{Deploy a new Data Science Virtual Machine (DSVM).}
\usage{
deployDSVM(context, resource.group, location, hostname, username,
size = "Standard_DS2_v2", os = "Linux", authen = ifelse(os == "Linux",
"Key", "Password"), pubkey = "", password = "", dns.label = hostname,
mode = "Sync")
}
\arguments{
\item{context}{Authentication context of AzureSMR encapsulating the
TID, CID, and key obtained from Azure Actrive Directory.}
\item{resource.group}{The Azure resource group where the DSVM is
created.}
\item{location}{Location of the data centre to host the DSVM.}
\item{hostname}{Name of the DSVM. Lowercase characters or numbers
only. Special characters are not permitted.}
\item{username}{User name of the DSVM. It should be different from
`name`.}
\item{size}{Size of the DSVM. The default is "Standard_D1_v2". All
available sizes can be obtained by function `getVMSizes`.}
\item{os}{Operating system of DSVM. Permitted values are "Linux"
and "Windows". The default is to deploy a Linux Data Science
Virtual Machine.}
\item{authen}{Either "Key" for public-key based authentication
(with Linux) or "Password" for a password based authentication
(Linux or Windows). Default is to use public key authentication
for Linux and password based authentication for Windows.}
\item{pubkey}{Public key for the DSVM. Only applicable for
public-key based authentication of Linux based DSVM.}
\item{password}{Pass word for the DSVM.}
\item{dns.label}{DNS label for the VM address. The URL for
accessing the deployed DSVM will be
"<dns_label>.<location>.cloudapp.azure.com}
\item{mode}{Mode of virtual machine deployment. Default is "Sync".}
}
\details{
If the deployment fails visit the Azure portal
https://ms.portal.azure.com and browse to the resource group and
click on the failed deployment link to view the failure
message. Typical errors include DnsRecordInUse or
StorageAccountAlreadyTaken. If so then choose a different hostname.
}

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man/deployDSVMCluster.Rd Normal file
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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/deployDSVMCluster.R
\name{deployDSVMCluster}
\alias{deployDSVMCluster}
\title{Deploy a cluster of Linux Data Science Virtual Machines on Azure.}
\usage{
deployDSVMCluster(context, resource.group, location, hostnames, usernames,
pubkeys, count, size = "Standard_D1_v2", dns.labels = hostnames)
}
\arguments{
\item{context}{AzureSMR active context.}
\item{resource.group}{The Azure resource group where the DSVM is
allocated.}
\item{location}{Location of the data centre to host the DSVM.}
\item{hostnames}{Hostnames for the DSVMs. Lowercase characters or
numbers only. If a single hostname is supplied and count > 1 then
the hostname will be used as a prefix for a sequential count of
hostnames.}
\item{usernames}{Usernames for the admin account created on the
DSVM. If a single username is supplied then that username is used
as the admin user on each host. Otherwise a username is provided
for each of the DSVMs.}
\item{pubkeys}{Public keys for the DSVM. This is only applicable
for public-key based authentication of Linux based DSVM. One or a
vector of public keys can be provided, depending on the count or
the number of hostnames or usernames.}
\item{count}{If provided this is the number of DSVM instances to be
created. If not provided the number of DSVMs created will be
either the number of names provided or the number of usernames
provided.}
\item{size}{The size of the DSVMs. Each DSVM is the same size.}
\item{dns.labels}{DNS labels for the VM. By default this is the
hostnames but is not required to be. The fully qualified domain
name for accessing the deployed DSVM will then be
"<dns.label_label>.<location>.cloudapp.azure.com".}
}
\description{
Creates a cluster of Data Science Virtual Machines and enables the
DSVMs to communicate across the cluster via public key based
credentials for high performance computation. All DSVMs in the
cluster are based on Linux OS and use public key cryptogrphy for
log in.
}
\details{
We identify two specific use cases but recognise there are many
that are supported by this function.
A cluster is intended as a High Performance Compute engine across
the deployed DSVMs supporting a parallel computing context as is
available with Microsoft R Server ScaleR package. A cluster is a
deployment of multiple identitical DSVMs. A single admin username
and public key will be used across the cluster. The individual
machine names will be constructed from the provided name with
sequential numbers. The data scientist will typically connect to
the cluster from their local desktop/laptop running R locally with
remote execution for computation. A cluster is typcially created by
the data scientist when needed and the resource group deleted on
completion of the activity.
A collection is a deployment with different usernames and public
keys for each of the DSVMS. A vector of usernames must be
provided. A colleciton is often used in creating multiple DSVMs for
a group of data scientists or for training. A colleciton is often
longer lasting than a cluster.
}

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man/dumpInterface.Rd Normal file
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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/computeInterface.R
\name{dumpInterface}
\alias{dumpInterface}
\title{Dump the interface configuration.}
\usage{
dumpInterface(object)
}
\arguments{
\item{object}{The compute interface object.}
}
\value{
No return. Print compute interface object information.
}

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man/executeScript.Rd Normal file
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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/executeScript.R
\name{executeScript}
\alias{executeScript}
\title{Remote execution of R script in an R interface new_interface.}
\usage{
executeScript(context, resourceGroup, machines, remote, user, script, master,
slaves, computeContext)
}
\arguments{
\item{context}{AzureSMR context.}
\item{resourceGroup}{Resource group of Azure resources for computation.}
\item{machines}{Remote DSVMs that will be used for computation.}
\item{remote}{IP address or FQDN for a computation engine. For
DSVM, it is either the fully qualified domain name (usually in the format of
<hostname>.<location>.cloudapp.azure.com) or its public IP
address. Note if more than one machines are used for execution,
the remote is used as master node by default.}
\item{user}{Username for logging into the remote resource.}
\item{script}{R script to be executed on remote resource(s).}
\item{master}{IP address or URL of a DSVM which will be used as the
master. By default is remote.}
\item{slaves}{IP addresses or URLs of slave DSVMs.}
\item{computeContext}{Computation context of Microsoft R Server
under which the mechanisms of parallelization (e.g., local
parallel, cluster based parallel, or Spark) is
specified. Accepted computing context include "localParallel",
"clusterParallel", "Hadoop", and "Spark".}
}
\value{
Status of scription execution.
}
\description{
Remote execution of R script in an R interface new_interface.
}
\details{
For a localParallel compute context,
}

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man/existsRG.Rd Normal file
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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/existsRG.R
\name{existsRG}
\alias{existsRG}
\title{Check if a resource group exists.}
\usage{
existsRG(context, resource.group, location, verbose = FALSE)
}
\arguments{
\item{context}{Authentication context of AzureSMR encapsulating the
TID, CID, and key obtained from Azure Actrive Directory.}
\item{resource.group}{The Azure resource group where the DSVM is
created.}
\item{location}{Location of the data centre to host the DSVM.}
}

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man/expenseCalculator.Rd Normal file
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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/expenseCalculator.R
\name{expenseCalculator}
\alias{expenseCalculator}
\title{Calculate cost of using a specific instance of Azure for certain period.}
\usage{
expenseCalculator(context, instance, timeStart, timeEnd, granularity, currency,
locale, offerId, region)
}
\arguments{
\item{context}{AzureSMR context.}
\item{instance}{Instance of Azure instance that one would like to check expense. No matter whether resource group is given or not, if a instance of instance is given, data consumption of that instance is returned.}
\item{timeStart}{Start time.}
\item{timeEnd}{End time.}
\item{granularity}{Aggregation granularity. Can be either "Daily" or "Hourly".}
\item{currency}{Currency in which price rating is measured.}
\item{locale}{Locality information of subscription.}
\item{offerId}{Offer ID of the subscription. Detailed information can be found at https://azure.microsoft.com/en-us/support/legal/offer-details/}
\item{region}{region information about the subscription.}
}
\value{
Total cost measured in the given currency of the specified Azure instance in the period.
}

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man/fileTransfer.Rd Normal file
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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/executeScript.R
\name{fileTransfer}
\alias{fileTransfer}
\title{Upload or download files.}
\usage{
fileTransfer(from = ".", to = ".", user, file)
}
\arguments{
\item{from}{Source location (path) of file.}
\item{to}{Target location (path) of file.}
\item{file}{File name - a character string.}
}
\note{
File transfer is implemented by `scp` with public key based authentication.
}

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man/getVMSizes.Rd Normal file
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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/getVMSizes.R
\name{getVMSizes}
\alias{getVMSizes}
\title{Get available sizes for data science virtual machines.}
\usage{
getVMSizes(context, location)
}
\arguments{
\item{context}{An AzureSMR context.}
\item{location}{Location of the Azure resources.}
}
\value{
A data frame that contains basic information
about the available DSVM sizes.
}
\description{
Get available sizes for data science virtual machines.
}

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man/operateDSVM.Rd Normal file
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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/operateDSVM.R
\name{operateDSVM}
\alias{operateDSVM}
\title{Operations on a data science virtual machine. Available operations are "Check", "Start", "Stop", and "Delete".}
\usage{
operateDSVM(context, resource.group, names, operation = "Check")
}
\arguments{
\item{context}{AzureSMR context.}
\item{resource.group}{Resource group.}
\item{operation}{Operations on the DSVM. Available operations are "Check", "Start", "Stop", "Delete", which check the status of, start running, stop running, and delete a DSVM, respectively.}
\item{name}{Name(s) of the DSVM(s).}
}

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man/pricingRates.Rd Normal file
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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/expenseCalculator.R
\name{pricingRates}
\alias{pricingRates}
\title{Get pricing details of resources under a subscription.}
\usage{
pricingRates(context, currency, locale, offerId, region)
}
\arguments{
\item{context}{- Azure Context Object.}
\item{currency}{Currency in which price rating is measured.}
\item{locale}{Locality information of subscription.}
\item{offerId}{Offer ID of the subscription. Detailed information can be found at https://azure.microsoft.com/en-us/support/legal/offer-details/}
\item{region}{region information about the subscription.}
}

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man/setConfig.Rd Normal file
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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/computeInterface.R
\name{setConfig}
\alias{setConfig}
\title{Set configuration for the compute interface object.}
\usage{
setConfig(object, machine_list, dns_list, machine_user, master, slaves, data,
context)
}
\arguments{
\item{object}{An S3 compute interface object.}
\item{machine_list}{List of remote instances that execute R scripts.}
\item{dns_list}{DNS of the remote instances.}
\item{machine_user}{User name of the remote instances.}
\item{master}{Master node of the machine.}
\item{slaves}{Slave nodes of the machine.}
\item{data}{Reference to data used in the analytics.}
\item{context}{Computing context available in Microsoft R Server for running the analytics.}
}

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man/updateScript.Rd Normal file
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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/computeInterface.R
\name{updateScript}
\alias{updateScript}
\title{Update a worker script with compute interface object configuration.}
\usage{
updateScript(object)
}
\arguments{
\item{object}{compute interface object.}
}