Description Usage Arguments Details Value Author(s) See Also Examples
Three different sets of configuration information are combined to upload a model to Causata for scoring.
1 2 3 4 | UploadModel(causata.config, model.definition, variable.definition, verbose=FALSE)
UploadModelWithValidation(causata.config, model.definition, variable.definition,
connection, query.function, record.error.max, verbose=FALSE, ...)
|
causata.config |
An object from |
model.definition |
An object from |
variable.definition |
An object from |
verbose |
If TRUE then information is printed to the console. |
connection |
An object from |
query.function |
A function that returns a query string or |
record.error.max |
The absolute value of the largest acceptable error. |
... |
Extra arguments are passed to the |
UploadModel
translates a model into PMML and uploads it to Causata, where it will become available as a new variable.
UploadModelWithValidation
adds validation to the upload process. The process works as follows:
The model is uploaded to a random variable name.
A new query is executed using the provided query.function
.
The new query will include the variables originally
used to train the model, and the new model variable from Causata.
The R scoring process is re-applied to the new data, and
the results from R and Causata are compared.
The validation is deemed successful if the difference in results is below
the value provided in record.error.max
.
If the validation was successful then the model is re-uploaded using the variable name provided
in model.definition
. If the validation failed then
There are two important requirements for the query function:
The query function must accept a variable name as its first argument – this argument is used to add the score variable to the query.
The query function must return a query including all of the variables that were originally used to train the model. The recommended best-practice is to use a function to extract the training data, then re-use the same function for the validation process.
For UploadModel
, if the upload was successful then a boolean TRUE is returned. If the upload failed
then an error message is returned.
UploadModelWithValidation
returns a list with the following elements:
result |
A boolean that is TRUE if the validation was successful and FALSE otherwise. |
validation.data |
A dataframe containing data used in the validation process. |
errors |
An array of error values, which are the absolute value of the difference between |
prediction |
The model scores as calculated by R. |
model.matrix |
The model matrix used by R to generate scores. |
actuals |
The model scores as calcualted by Causata. |
problematic.indices |
An array of indices that are TRUE if the error value exceeds the
|
David Barker, Justin Hemann <support@causata.com>
CausataConfig
, ModelDefinition
, VariableDefinition
, Connect
,
Query
, CausataData
.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | # An example query function for UploadModelWithValidation
# The focal point query below returns profiles from the most recent
# ad impression where the product name is "Test Product".
query.function <- function(variables, more.variables=c(), limit=100){
query <- paste(
"select", BacktickCollapse(c(variables, more.variables)),
"from Scenarios S,",
" `ad-impression` E",
"where S.profile_id = E.profile_id",
" and S.focal_point = E.timestamp",
" and is_last(E.timestamp)",
"and exists",
"( select *",
" from `ad-impression` A",
" where A.`product-name` = 'Test Product'",
")",
"Limit", limit)
return(query)
}
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.