helper_optimal_prediction {previsionio}

[BETA] Compute the optimal prediction for each rows in a data frame, for a given model, a list of actionable features and a number of samples for each features to be tested.

Description

[BETA] Compute the optimal prediction for each rows in a data frame, for a given model, a list of actionable features and a number of samples for each features to be tested.

Usage

helper_optimal_prediction(
  project_id,
  experiment_id,
  model_id,
  df,
  actionable_features,
  nb_sample,
  maximize,
  zip = FALSE,
  version = 1
)

Arguments

project_id

id of the project containing the use case.

experiment_id

id of the experiment to be predicted on.

model_id

id of the model to be predicted on.

df

a data frame to be predicted on.

actionable_features

a list of actionable_featuress features contained in the names of the data frame.

nb_sample

a vector of number of sample for each actionable_features features.

maximize

a boolean indicating if we maximize or minimize the predicted target.

zip

a boolean indicating if the data frame to predict should be zipped prior sending to the instance.

version

version of the use case we want to make the prediction on.

Value

data.frame - optimal vector and the prediction associated with for each rows in the original data frame.