sleepless.engine.predictor_scikit#
Predcition script.
Functions
|
Compute the class probabilities prediction (or prediction if predict probabilities is not possible) for a set of data, given a fitted model. |
- sleepless.engine.predictor_scikit.predict_scikit(dataset, model, output_folder, model_parameters)[source]#
Compute the class probabilities prediction (or prediction if predict probabilities is not possible) for a set of data, given a fitted model. The prediction are computed for all samples of all keys.
- Parameters:
dataset (
dict
[str
,list
[DelayedSample
]]) – A dictionary containing a list of DelayedSample.model (
object
) – A scikit learn model already fitted.output_folder (
str
) – A path where prediction will be savedmodel_parameters (
Mapping
) – a dictionary where the following key need to be defined,transform
: list (if data are not transformed yet)