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SimpleML-cdr342-23648251.out
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Due to MODULEPATH changes, the following have been reloaded:
1) openmpi/2.1.1
Using TensorFlow backend.
/home/edwardw1/hemicellulose_project/lib/python3.6/site-packages/sklearn/linear_model/ridge.py:125: LinAlgWarning: Ill-conditioned matrix (rcond=1.73192e-17): result may not be accurate.
overwrite_a=True).T
WARNING:tensorflow:From /home/edwardw1/hemicellulose_project/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:
Colocations handled automatically by placer.
WARNING:tensorflow:From /home/edwardw1/hemicellulose_project/lib/python3.6/site-packages/tensorflow/python/ops/math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.cast instead.
2019-07-03 10:27:33.277103: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1433] Found device 0 with properties:
name: Tesla P100-PCIE-12GB major: 6 minor: 0 memoryClockRate(GHz): 1.3285
pciBusID: 0000:03:00.0
totalMemory: 11.91GiB freeMemory: 11.66GiB
2019-07-03 10:27:33.277219: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1512] Adding visible gpu devices: 0
2019-07-03 10:27:37.305334: I tensorflow/core/common_runtime/gpu/gpu_device.cc:984] Device interconnect StreamExecutor with strength 1 edge matrix:
2019-07-03 10:27:37.305459: I tensorflow/core/common_runtime/gpu/gpu_device.cc:990] 0
2019-07-03 10:27:37.305508: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1003] 0: N
2019-07-03 10:27:37.335439: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 11270 MB memory) -> physical GPU (device: 0, name: Tesla P100-PCIE-12GB, pci bus id: 0000:03:00.0, compute capability: 6.0)
2019-07-03 10:27:37.439683: I tensorflow/core/common_runtime/process_util.cc:71] Creating new thread pool with default inter op setting: 2. Tune using inter_op_parallelism_threads for best performance.
2019-07-03 10:27:39.998330: I tensorflow/stream_executor/dso_loader.cc:152] successfully opened CUDA library libcublas.so.10.0 locally
WARNING:tensorflow:From /home/edwardw1/hemicellulose_project/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:3445: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.
Instructions for updating:
Please use `rate` instead of `keep_prob`. Rate should be set to `rate = 1 - keep_prob`.
Staring Linear Regression ------------------
Linear regression Mean Absolute Error: 429.2567843717189
Linear regression Mean Squared Error: 20369393.772459593
Linear regression Root Mean Squared Error: 4513.246478141826
Ending Linear Regression ------------------
Staring Ridge Regression ------------------
Ridge Regression best alpha is: 5
Ridge Regression Mean Absolute Error: 429.2543451156721
Ridge Regression Mean Squared Error: 20374402.914480973
Ridge Regression Root Mean Squared Error: 4513.801381815661
Ridge Regression Coefficients: [ -1.73205576 -21.16341745 3.76640885 2.99076982 9.31578171
-1.17648739 -3.32190656 -3.23972805 -3.75270116 -4.38596835
7.25937315 6.2371753 ]
Ending Ridge Regression ------------------
Starting Support Vector Regression ------------------
SVR Best kernel is: rbf
SVR Best Epsilon is: 0.1
SVR Best C is: 20
SVR Best Gamma is: scale
SVR Mean Absolute Error: 422.5538018719088
SVR Mean Squared Error: 20342185.879267994
SVR Root Mean Squared Error: 4510.231244544784
Ending Support Vector Regression ------------------
Starting Neural Network------------------
ANN Best Learning Rate is: 0.005
ANN Best Batch Size is: 64
ANN Best Dropout Rate is: 0.01
ANN Mean Absolute Error: 418.981659859454
ANN Mean Squared Error: 20341042.864656746
ANN Root Mean Squared Error: 4510.1045292384015
Ending Neural Network Regression ------------------
Execution Time is: 46.69261783361435 min