run_model_application.md

Using NIFty to Classify Unlabaled Data

It is possible to just apply a classification model to unlabeled data when running NIFty. Running NIFty in this mode presupposes that, at some point, you have used NIFty to generate relevant features and train a matching model.

The code and descriptive examples below will help you run NIFty is find_features only mode:

• Model Application Regression Test
• Model Application Config File Example

Minimum Required Changes to Configurations:

To run NIFty in this mode, the following are the minimum required changes to the default configuration file:

• find_features = false
• train_model = false
• apply_model = true
• experimental_quant_file = "your/path/to/unlabeled/experimental/quant.tsv"
• feature_file = "your/path/to/selected_features.tsv"
• model_file = "your/path/to/trained_model_and_model_metadata.pkl"

Expected Output Files:

• predicted_classes.tsv