create_prediction: Create a prediction on a specified experiment_version
In previsionio: 'Prevision.io' R SDK

create_prediction

R Documentation

Create a prediction on a specified experiment_version

Description

Create a prediction on a specified experiment_version

Usage

create_prediction(
  experiment_version_id,
  dataset_id = NULL,
  folder_dataset_id = NULL,
  confidence = FALSE,
  best_single = FALSE,
  model_id = NULL,
  queries_dataset_id = NULL,
  queries_dataset_content_column = NULL,
  queries_dataset_id_column = NULL,
  queries_dataset_matching_id_description_column = NULL,
  top_k = NULL
)

Arguments

`experiment_version_id`	id of the experiment_version, can be obtained with get_experiment_version_id().
`dataset_id`	id of the dataset to start the prediction on, can be obtained with get_datasets().
`folder_dataset_id`	id of the folder dataset to start prediction on, can be obtained with get_folders(). Only usefull for images use cases.
`confidence`	boolean. If enable, confidence interval will be added to predictions.
`best_single`	boolean. If enable, best single model (non blend) will be used for making predictions other wise, best model will be used unless if model_id is fed.
`model_id`	id of the model to start the prediction on. If provided, it will overwrite the "best single" params.
`queries_dataset_id`	id of the dataset containing queries (text-similarity).
`queries_dataset_content_column`	name of the content column in the queries dataset (text-similarity).
`queries_dataset_id_column`	name of the id column in the queries dataset (text-similarity).
`queries_dataset_matching_id_description_column`	name of the column matching the id (text-similarity).
`top_k`	number of class to retrieve (text-similarity).