# Get compressed features compressed_features = autoencoder.predict(df.drop('target', axis=1))
: Development transitioned to a part-time schedule due to the developer's real-life commitments, which initially led to longer waits for major updates like v0.10 and v0.11. Community and Future Updates
: The tool is primarily designed for BMW G30 (5 Series) and similar models, as well as compatible Toyota (Suprra) models sharing the BMW electronic architecture.
The deep feature analysis reveals a set of complex relationships between the features and the target variable. The identified deep features can be used to develop more accurate predictive models for heart problems. Additionally, these features can provide insights into the underlying mechanisms of heart disease and inform the development of novel therapeutic strategies.