Searched refs:getSideBySide (Results 1 – 4 of 4) sorted by relevance
| /dports/science/agrum/aGrUM-29e540d8169268e8fe5d5c69bc4b2b1290f12320/wrappers/pyAgrum/pyLibs/causal/ |
| H A D | notebook.py | 69 return gnb.getSideBySide(getCausalModel(model),
|
| /dports/science/agrum/aGrUM-29e540d8169268e8fe5d5c69bc4b2b1290f12320/wrappers/pyAgrum/pyLibs/lib/ |
| H A D | notebook.py | 1057 def getSideBySide(*args, **kwargs): function
1117 IPython.display.display(IPython.display.HTML(getSideBySide(*args, **kwargs)))
1160 return getSideBySide(getBN(ie.BN()), t, captions=[inferenceCaption, "Evidence and targets"])
|
| /dports/science/agrum/aGrUM-29e540d8169268e8fe5d5c69bc4b2b1290f12320/wrappers/pyAgrum/pyLibs/notebooks/ |
| H A D | 01-Tutorial.ipynb | 5938 " gnb.getSideBySide(bn.cpt(\"Sprinkler?\"),captions=['$P(Sprinkler|Cloudy)$']),\n",
5940 " gnb.getSideBySide(bn.cpt(\"Rain?\"),captions=['$P(Rain|Cloudy)$']))\n",
|
| H A D | 13-Models_MarkovNetwork.ipynb | 3412 " gnb.sideBySide(gnb.getSideBySide(gum.getPosterior(bn,target=\"A\",evs=evs),\n",
3415 " gnb.getSideBySide(gum.getPosterior(mn,target=\"A\",evs=evs),\n",
|