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Keras extension for OpenML python\n\nKeras extension for [openml-python API](https://github.com/openml/openml-python).\n\n#### Installation Instructions:\n\n`pip install openml-keras`\n\nPyPi link https://pypi.org/project/openml-keras/\n\n#### Usage\nImport openML libraries\n```python\nimport openml\nimport openml_keras\n```\nCreate  and compile a keras model\n```python\nmodel = keras.models.Sequential([\n    keras.layers.BatchNormalization(),\n    keras.layers.Dense(units=1024, activation=keras.activations.relu),\n    keras.layers.Dropout(rate=0.4),\n    keras.layers.Dense(units=2, activation=keras.activations.softmax),\n])\n\n# We will compile using the Adam optimizer while targeting accuracy.\nmodel.compile(optimizer='adam',\n              loss='sparse_categorical_crossentropy',\n              metrics=['accuracy'])\n```\nDownload the task from openML and run the model on task.\n```python\ntask = openml.tasks.get_task(3573)\nrun = openml.runs.run_model_on_task(model, task, avoid_duplicate_runs=False)\nrun.publish()\nprint('URL for run: %s/run/%d' % (openml.config.server, run.run_id))\n```\nNote: The input layer of the network should be compatible with OpenML data output shape. 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