Comments (1)
So i just use indicator_y_data = [[-1], [-1], [-1], [-1]] instead of indicator_y_data = [[0], [0], [0], [0]], and it works (output of 1.0 for no evidence). So I asume indicator_y_data = [[-1], [0], [1], [2]] would give outputs for the root, the first weight of the root, the second weight of the root, and then the third weight of the root.
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Related Issues (20)
- Prepare the existing code in the dev branch for merging to master
- Updated the website for the release
- Using continuous variables HOT 2
- High memory usage and slow runtime for generating weights & ops? HOT 1
- Using `value_gen` in gd.py externally HOT 4
- Order of arguments in Concat node HOT 2
- Duplicating an SPN HOT 6
- Leaf distributions based on TensorFlow probability
- Reinvestigate custom Ops
- Assess use of SparseTensor for implementing scatter_values HOT 1
- tutorial 1c missing import
- IVs attribute error HOT 3
- Can't save a convSPN HOT 2
- Query about marginal inference HOT 5
- log probability for all classes given an observation HOT 2
- Issue with tutorial 3 and 4
- Wicker SPN Tutorial not working HOT 7
- Continous Learning
- No module named 'tensorflow.contrib'
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