mauriziofilippone / deep_gp_random_features Goto Github PK
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License: Apache License 2.0
When do you terminate the optimization ? Do you use the validation set for early stopping ?
Hi,
I was wondering where the dataset credit comes from? Could you provide a link?
Best,
Leo
I tried running,
python experiments/dgp_rff_regression.py —seed=12345 --dataset=concrete --fold=1 --q_Omega_fixed=1000 --theta_fixed=4000 --is_ard=True --optimizer=adam --nl=2 --learning_rate=0.01 --n_rff=100 --df=3 --batch_size=200 --mc_train=100 --mc_test=100 --n_iterations=100000 --display_step=250 --duration=60 --learn_Omega=var_resampled
and I get this error,
File "/home/issam/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 977, in internal_convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
File "/home/issam/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 825, in _TensorTensorConversionFunction
(dtype.name, t.dtype.name, str(t)))
ValueError: Tensor conversion requested dtype float32 for Tensor with dtype float64: 'Tensor("Sqrt:0", shape=(), dtype=float64)'
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