Metadata-Version: 2.1
Name: keras-metrics
Version: 0.0.1
Summary: Metrics for Keras model evaluation
Home-page: https://github.com/netrack/keras-metrics
Author: Yasha Bubnov
Author-email: girokompass@gmail.com
License: UNKNOWN
Description: # Keras Metrics
        
        [![Build Status][BuildStatus]](https://travis-ci.org/netrack/keras-metrics)
        
        This package provides metrics for evaluation of Keras classification models.
        The metrics are safe to use for batch-based model evaluation.
        
        ## Installation
        
        To install the package from the PyPi repository you can execute the following
        command:
        ```sh
        pip install keras-metrics
        ```
        
        ## Usage
        
        The usage of the package is simple:
        ```python
        import keras
        import keras_metrics
        
        model = models.Sequential()
        model.add(keras.layers.Dense(1, activation="sigmoid", input_dim=2))
        model.add(keras.layers.Dense(1, activation="softmax"))
        
        model.compile(optimizer="sgd",
                      loss="binary_crossentropy",
                      metrics=[keras_metrics.precision(), keras_metrics.recall()])
        ```
        
        [BuildStatus]: https://travis-ci.org/netrack/keras-metrics.svg?branch=master
        
Keywords: keras metrics evaluation
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Topic :: Software Development :: Libraries
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
