blockingpy.controls.controls_txt

blockingpy.controls.controls_txt(controls, **kwargs)

Create configuration dictionary for text processing operations.

Parameters:

• controls (dict) – Dictionary of control parameters to override defaults

• **kwargs (dict) – Additional keyword arguments for direct parameter updates

Returns:

Configuration dictionary with the following structure: {

’encoder’: str, ‘embedding’: {

’model’: str, ‘normalize’: bool, ‘max_length’: int, ‘emb_batch_size’: int, ‘show_progress_bar’: bool, ‘use_multiprocessing’: bool, ‘multiprocessing_threshold’: int,

}, ‘shingle’: {

’n_shingles’: int, ‘lowercase’: bool, ‘strip_non_alphanum’: bool, ‘max_features’: int,

},

}

Return type:

dict

Notes

Configuration options: - encoder: Type of text encoder (‘shingle’ or ‘embedding’) For ‘embedding’, additional parameters are required:

• model: Pretrained model identifier or path

• normalize: Normalize output vectors if True

• max_length: Maximum sequence length for encoding

• emb_batch_size: Batch size for encoding

• show_progress_bar: Show progress bar if True

• use_multiprocessing: Use multiprocessing if True

• multiprocessing_threshold: Threshold for multiprocessing

For ‘shingle’, additional parameters are required:

• n_shingles: Number of consecutive characters to combine

• max_features: Maximum number of features to keep

• lowercase: Convert text to lowercase if True

• strip_non_alphanum: Remove non-alphanumeric characters if True