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SimpleML-cdr302-23591941.out
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SimpleML-cdr302-23591941.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=3.80756e-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.
2019-07-02 17:36:41.312709: 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: 0000:82:00.0
totalMemory: 11.91GiB freeMemory: 11.66GiB
2019-07-02 17:36:41.312827: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1512] Adding visible gpu devices: 0
2019-07-02 17:36:44.499107: I tensorflow/core/common_runtime/gpu/gpu_device.cc:984] Device interconnect StreamExecutor with strength 1 edge matrix:
2019-07-02 17:36:44.499236: I tensorflow/core/common_runtime/gpu/gpu_device.cc:990] 0
2019-07-02 17:36:44.499284: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1003] 0: N
2019-07-02 17:36:44.501310: 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: 0000:82:00.0, compute capability: 6.0)
2019-07-02 17:36:44.505618: 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.
2019-07-02 17:36:45.248469: 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: 374.3631586439008
Linear regression Mean Squared Error: 928592.2861922496
Linear regression Root Mean Squared Error: 963.6349340866849
Ending Linear Regression ------------------
Staring Ridge Regression ------------------
Ridge Regression best alpha is: 100
Ridge Regression Mean Absolute Error: 188.8129744185985
Ridge Regression Mean Squared Error: 128648.48202557879
Ridge Regression Root Mean Squared Error: 358.67601261525533
Ridge Regression Coefficients: [ -8.21907924 110.52830101 164.22317515 -31.65362903 -53.15405956
-6.97062566 -8.98154696 74.60364651 -138.02542333 -8.31155174
36.69132064 90.52086972]
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: 4.863536582929835
SVR Mean Squared Error: 85.39224727615142
SVR Root Mean Squared Error: 9.240792567531825
Ending Support Vector Regression ------------------
Starting Neural Network------------------
ANN Best Learning Rate is: 0.02
ANN Best Batch Size is: 64
ANN Best Dropout Rate is: 0.01
Traceback (most recent call last):
File "./SimpleML.py", line 216, in <module>
model.fit(X_train_valid, y_train_valid, epochs=3000, batch_size=best_bs, verbose=0)
File "/home/edwardw1/hemicellulose_project/lib/python3.6/site-packages/keras/engine/training.py", line 952, in fit
batch_size=batch_size)
File "/home/edwardw1/hemicellulose_project/lib/python3.6/site-packages/keras/engine/training.py", line 751, in _standardize_user_data
exception_prefix='input')
File "/home/edwardw1/hemicellulose_project/lib/python3.6/site-packages/keras/engine/training_utils.py", line 138, in standardize_input_data
str(data_shape))
ValueError: Error when checking input: expected dense_401_input to have shape (13,) but got array with shape (12,)