Update project fixture with experiment group
],
"is_public": true
}
+},
+{
+ "model": "projects.experimentgroup",
+ "pk": 1,
+ "fields": {
+ "description": null,
+ "created_at": "2017-12-24T18:53:47.433Z",
+ "updated_at": "2017-12-24T18:53:47.434Z",
+ "uuid": "a150988d-ea33-4ce4-915f-4297b2baac47",
+ "user": [
+ "admin"
+ ],
+ "sequence": 1,
+ "content": "{'environment': {'n_ps': 1, 'delay_workers_by_global_step': True, 'run_config': {'save_summary_steps': 100, 'save_checkpoints_steps': 100}, 'n_workers': 1}, 'matrix': {'lr': {'logspace': '0.01:0.1:2'}}, 'settings': {'run_type': 'minikube', 'logging': {'path': '/tmp/plx/outputs/project1', 'level': 'INFO'}}, 'project': {'name': 'cats-vs-dogs'}, 'train': {'data_pipeline': {'TFRecordImagePipeline': {'meta_data_file': '/tmp/plx/data/mnist/meta_data.json', 'feature_processors': {'image': {'layers': [{'Cast': {'dtype': 'float32'}}], 'input_layers': ['image']}}, 'batch_size': 64, 'num_epochs': 2, 'shuffle': True, 'data_files': ['/tmp/plx/data/mnist/mnist_train.tfrecord']}}, 'steps': 500}, 'version': 1, 'eval': {'data_pipeline': {'TFRecordImagePipeline': {'meta_data_file': '/plx/tmp/data/mnist/meta_data.json', 'feature_processors': {'image': {'layers': [{'Cast': {'dtype': 'float32'}}], 'input_layers': ['image']}}, 'batch_size': 32, 'num_epochs': 1, 'shuffle': False, 'data_files': ['/plx/tmp/data/mnist/mnist_eval.tfrecord']}}}, 'model': {'classifier': {'loss': {'SigmoidCrossEntropy': None}, 'one_hot_encode': True, 'optimizer': {'Adam': {'learning_rate': '{{ lr }}'}}, 'graph': {'layers': [{'Conv2D': {'strides': 1, 'activation': 'elu', 'filters': 32, 'kernel_size': 3, 'regularizer': {'L2': {'l': 0.02}}}}, {'MaxPooling2D': {'pool_size': 2}}, {'Conv2D': {'activation': 'relu', 'filters': 64, 'kernel_size': 3, 'regularizer': {'L2': {'l': 0.02}}}}, {'MaxPooling2D': {'pool_size': 2}}, {'Flatten': None}, {'Dense': {'units': 128, 'activation': 'tanh'}}, {'Dropout': {'rate': 0.8}}, {'Dense': {'units': 256, 'activation': 'tanh'}}, {'Dropout': {'rate': 0.8}}, {'Dense': {'units': 10}}], 'input_layers': 'image'}, 'metrics': ['Accuracy', 'Precision'], 'n_classes': 10}}}",
+ "project": 1
+ }
}
]
