See #315
Goal is to enable use-cases:
- calculate LLRs on a separate data set (e.g. case LLRs)
- use a pre-trained model (no training data required)
Current situation:
data:
provider:
method: parse_features_from_csv_url
url: ...
splits:
strategy: cross_validation_sources
folds: 5
New situation:
- new property:
data.training, data provider for training data
- only one of
data.splits or data.training is allowed
- if
data.training is available, use data.provider as test data
- if both
data.training and data.splits are unavailable, use all data as test data
data:
training:
method: parse_features_from_csv_url
url: ...
provider:
method: parse_features_from_csv_url
url: ...
See #315
Goal is to enable use-cases:
Current situation:
New situation:
data.training, data provider for training datadata.splitsordata.trainingis alloweddata.trainingis available, usedata.provideras test datadata.traininganddata.splitsare unavailable, use all data as test data