seqme.models.KmerFrequencyEmbedding# class seqme.models.KmerFrequencyEmbedding(kmers)[source]# Computes normalized k-mer frequency embeddings for sequences. __init__(kmers)[source]# Initialize model. Parameters: kmers (list[str]) – List of valid k-mers (same length). __call__(sequences)[source]# Embed a list of sequences as k-mer frequency vectors. Parameters: sequences (list[str]) – Sequences to embed. Return type: ndarray Returns: A NumPy array of shape (n_sequences, total_kmers) containing the embeddings. Methods __init__(kmers) Initialize model. __call__(sequences) Embed a list of sequences as k-mer frequency vectors.
