Initial commit

mhcnn/results/runs/final/0/microseismic_events/test/params.yml

+batch_size: 32
+hostname: bmicgpu02
+id: microseismic_events/20181012-160930
+learning_rate: 0.0001
+loss: binary_crossentropy
+metrics: [accuracy, recall, precision, f1score]
+net_filename: results/microseismic_events/20181012-160930/keras.net
+num_epochs: 100
+optimizer: adam
+random_seed: 8494563
+shuffle: true
+transform_type: custom_melspec
+use_generator: false

mhcnn/results/runs/final/0/microseismic_events/test/testlog_microseismic_events.txt

+2018-11-29 11:22:14.078223: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
+2018-11-29 11:22:14.078248: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
+2018-11-29 11:22:14.078253: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
+2018-11-29 11:22:14.078256: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
+2018-11-29 11:22:14.078260: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
+Using TensorFlow backend.
+Loading microseismic model
+Traceback (most recent call last):
+  File "test.py", line 190, in <module>
+    import permasense
+ModuleNotFoundError: No module named 'permasense'
+2018-11-29 11:26:44.686660: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
+2018-11-29 11:26:44.686685: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
+2018-11-29 11:26:44.686697: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
+2018-11-29 11:26:44.686701: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
+2018-11-29 11:26:44.686704: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
+Using TensorFlow backend.
+Loading microseismic model
+Traceback (most recent call last):
+  File "test.py", line 190, in <module>
+    import permasense
+ModuleNotFoundError: No module named 'permasense'