TriModelSystem


NameTriModelSystem JSON
Version 0.0.2 PyPI version JSON
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SummaryTri-Model Ensemble System for Classification
upload_time2023-05-17 00:49:01
maintainer
docs_urlNone
authorArkitech (Joshua Tan)
requires_python
license
keywords python machine learning tensorflow classification neural network
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requirements No requirements were recorded.
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# Tri-Model Ensemble System for Classification

Under heavy development and research

Developed by Arkitech(Joshua Tan)

## Examples of usage

Create a config file:

```python
from TriModelSystem.utils import create_config

create_config()
```

Training a RMSprop-Adadelta binary classification model:
```python
from TriModelSystem.binclassification import rms_adadelta_model

example_input_shape = (24,)
model = rms_adadelta_model(input_shape=example_input_shape)
TriModelSystem.fit(x=[train_features, train_features], 
                   y=train_labels_encoded, 
                   batch_size=batch_size, 
                   epochs=epochs, 
                   validation_data=([test_features, test_features], test_labels_encoded))
```

            

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