Skip to main content

Additional metrics integrated with the TensorFlow and Keras NN library.

Project description

Pypi project Pypi total project downloads

Additional metrics integrated with the TensorFlow and Keras Neural Network libraries.

How do I install this package?

As usual, just download it using pip:

pip install extra_keras_metrics

How do I use this package?

Other than by importing the single metrics from the package, we make available also sets of metrics.

Multi-class metrics

To retrieve an instance of the set of multi-class metrics you can use:

from extra_keras_metrics import get_minimal_multiclass_metrics

model = my_keras_model()
model.compile(
    optimizer="nadam",
    loss="categorical_crossentropy",
    metrics=get_minimal_multiclass_metrics()
)

Sparse multi-class metrics

To retrieve an instance of the set of sparse multi-class metrics you can use:

from extra_keras_metrics import get_sparse_multiclass_metrics

model = my_keras_model()
model.compile(
    optimizer="nadam",
    loss="sparse_categorical_crossentropy",
    metrics=get_sparse_multiclass_metrics()
)

Note that for now this only includes the categorial accuracy, since it is the only one provided out-of-the-box by Tensorflow. We will be implementing more metrics ourselves.

Binary metrics

To retrieve an instance of the set of binary-class metrics you can use:

from extra_keras_metrics import get_standard_binary_metrics

model = my_keras_model()
model.compile(
    optimizer="nadam",
    loss="binary_crossentropy",
    metrics=get_standard_binary_metrics()
)

All the binary metrics

We have implemented all sorts of binary metrics, including some relatively more obscure ones. If you want ALL the binary metrics we implemented you can use the following method:

from extra_keras_metrics import get_complete_binary_metrics

model = my_keras_model()
model.compile(
    optimizer="nadam",
    loss="binary_crossentropy",
    metrics=get_complete_binary_metrics()
)

Extras

I’ve created also another couple packages you might enjoy this other one, called extra_keras_utils that contains some commonly used code for Keras projects and plot_keras_history which automatically plots a Keras training history.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

extra_keras_metrics-2.0.8.tar.gz (7.4 kB view hashes)

Uploaded source

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page