Metadata-Version: 2.1
Name: dimae
Version: 0.1.3
Summary: Dimensionality Autoencoder
Home-page: https://github.com/SynStratos/dim_ae
Author: SynStratos
Author-email: synstratos.dev@gmail.com
License: UNKNOWN
Description: # dim_ae
        Dimensionality Reduction Autoencoder built with Keras TF
        
        
        ### Package installation
        ```
        pip install dimae
        ```
        
        ### Usage example
        ```python
        import pandas as pd
        import tensorflow as tf
        
        from dimae.autoencoders.autoencoder import AE
        
        
        df = pd.DataFrame(...)
        
        n_features = df.shape[1]
        output_features = 10
        
        ae = AE(n_features, output_features)
        
        batch_size = 8
        epochs = 15
        
        dataset = tf.data.Dataset.from_tensor_slices((df.values.astype('float32'), df.values.astype('float32')))
        t_dataset = dataset.batch(batch_size)
        
        ae.compile(optimizer = 'adam', loss = 'mse')
        ae.fit(t_dataset, epochs = epoches)
        
        encoder = ae.generate_encoder()
        encoder.summary()
        ```
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
