get_input_data | GridSearch | Hyperparameter Tuning in teradataml - get_input_data - Teradata Package for Python

Teradata® Package for Python User Guide

Deployment
VantageCloud
VantageCore
Edition
Enterprise
IntelliFlex
VMware
Product
Teradata Package for Python
Release Number
20.00
Published
March 2024
Language
English (United States)
Last Update
2024-04-09
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Product Category
Teradata Vantage
Use the get_input_data() method to get the input data used by model trainer functions. Unique identifiers (data_id) is used to get the training data. In case of unlabeled data such as single dataframe or tuple of dataframe, default unique identifiers are assigned. Thus, unlabeled training data is retrieved using default unique identifiers.
  • For model trainer functions, it only returns input data.
  • For supervised model trainer function (evaluatable functions), it returns both train and test sampled data.
  • For unsupervised-model trainer function (non-evaluatable functions), it returns train data.
Required Arguments:
  • data_id: Specifies the unique data identifier used for model training.