get_embeddings

Placeholder for extracting embeddings from a trained autoencoder.

Tools for bioinformatics modeling using recursive transformer-inspired
architectures, autoencoders, random forests, XGBoost, and stacked ensemble models.
Includes utilities for cross-validation, calibration, benchmarking, and threshold
optimization in predictive modeling workflows. The methodology builds on ensemble
learning (Breiman 2001 <doi:10.1023/A:1010933404324>), gradient boosting (Chen and
Guestrin 2016 <doi:10.1145/2939672.2939785>), autoencoders (Hinton and Salakhutdinov
2006 <doi:10.1126/science.1127647>), and recursive transformer efficiency approaches
such as Mixture-of-Recursions (Bae et al. 2025 <doi:10.48550/arXiv.2507.10524>).

MD. Arshad

BioMoR

Bioinformatics Modeling with Recursion and Autoencoder-Based
Ensemble

get_embeddings function

<dl><dt>ae_obj</dt>
<dd>Autoencoder object</dd>
<dt>data</dt>
<dd>Input data</dd>
<dt>feature_cols</dt>
<dd>Columns to use as features</dd></dl>

Arguments

Get Embeddings from Autoencoder (stub) — get_embeddings

<dl>

<dt>ae_obj</dt>
<dd>Autoencoder object</dd>


<dt>data</dt>
<dd>Input data</dd>


<dt>feature_cols</dt>
<dd>Columns to use as features</dd>

</dl>

get_embeddings: Get Embeddings from Autoencoder (stub)

Description

Usage

Value

Arguments