set_run_info | R Documentation |
Creates list object of information helpful in logging information about your run.
set_run_info(
experiment_name = "finn_fcst",
run_name = "finn_fcst",
storage_object = NULL,
path = NULL,
data_output = "csv",
object_output = "rds",
add_unique_id = TRUE
)
experiment_name |
Name used to group similar runs under a single experiment name. |
run_name |
Name to distinguish one run of Finn from another. The current time in UTC is appended to the run name to ensure a unique run name is created. |
storage_object |
Used to store outputs during a run to other storage services in Azure. Could be a storage container object from the 'AzureStor' package to connect to ADLS blob storage or a OneDrive/SharePoint object from the 'Microsoft365R' package to connect to a OneDrive folder or SharePoint site. Default of NULL will save outputs to the local file system. |
path |
String showing what file path the outputs should be written to. Default of NULL will write the outputs to a temporary directory within R, which will delete itself after the R session closes. |
data_output |
String value describing the file type for data outputs. Default will write data frame outputs as csv files. The other option of 'parquet' will instead write parquet files. |
object_output |
String value describing the file type for object outputs. Default will write object outputs like trained models as rds files. The other option of 'qs' will instead serialize R objects as qs files by using the 'qs' package. |
add_unique_id |
Add a unique id to end of run_name based on submission time. Set to FALSE to supply your own unique run name, which is helpful in multistage ML pipelines. |
A list of run information
run_info <- set_run_info(
experiment_name = "test_exp",
run_name = "test_run_1"
)
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