Hey Yichao, it's late here, I will continue tomorrow. Thanks for your help!
> On Nov 23, 2016, at 22:59, Yichao Yu <yyc1...@gmail.com> wrote:
>
>> On Wed, Nov 23, 2016 at 7:31 PM, Kevin Liu <kvt...@gmail.com> wrote:
>> In `permute_dims = [Remain_dims,Remove_dims]`, both Remain and Remove_dims
>
> Which is why it is wrong.
>
>> are vectors. Even if I `permute_dims = [Remain_dims]`, I still get the same
>> error.
>
>
> julia> [[1]]
> 1-element Array{Array{Int64,1},1}:
> [1]
>
> julia> [[1];]
> 1-element Array{Int64,1}:
> 1
>
>
>>
>>> On Wed, Nov 23, 2016 at 9:54 PM, Yichao Yu <yyc1...@gmail.com> wrote:
>>>
>>>> On Wed, Nov 23, 2016 at 6:50 PM, Kevin Liu <kvt...@gmail.com> wrote:
>>>> Attached!
>>>
>>> ```
>>> help?> permutedims
>>> search: permutedims permutedims! ipermutedims
>>>
>>> permutedims(A, perm)
>>>
>>> Permute the dimensions of array A. perm is a vector specifying a
>>> permutation
>>> of length ndims(A). This is a generalization of transpose for
>>> multi-dimensional arrays. Transpose is equivalent to permutedims(A,
>>> [2,1]).
>>>
>>> julia> A = reshape(collect(1:8), (2,2,2))
>>> 2×2×2 Array{Int64,3}:
>>> [:, :, 1] =
>>> 1 3
>>> 2 4
>>> <BLANKLINE>
>>> [:, :, 2] =
>>> 5 7
>>> 6 8
>>>
>>> julia> permutedims(A, [3, 2, 1])
>>> 2×2×2 Array{Int64,3}:
>>> [:, :, 1] =
>>> 1 3
>>> 5 7
>>> <BLANKLINE>
>>> [:, :, 2] =
>>> 2 4
>>> 6 8
>>> ```
>>>
>>> You are not giving `permutedims` the correct second parameters
>>>
>>> (https://github.com/hpoit/MLN.jl/blob/1c13725666f34587e57c4a1757e6222cacaeab73/BN/src/FactorOperations.jl#L66).
>>>
>>>
>>>>
>>>>> On Wed, Nov 23, 2016 at 9:44 PM, Yichao Yu <yyc1...@gmail.com> wrote:
>>>>>
>>>>>> On Wed, Nov 23, 2016 at 4:02 PM, Kevin Liu <kvt...@gmail.com> wrote:
>>>>>> Yichao, would you give me some direction? I am a bit lost.
>>>>>
>>>>> Post and/or identify the error after you've fixed the `Factor.` problem
>>>>>
>>>>>>
>>>>>>> On Tue, Nov 22, 2016 at 7:58 PM, Kevin Liu <kvt...@gmail.com> wrote:
>>>>>>>
>>>>>>> Do you want a cut in the profits for helping me get it to work? It's
>>>>>>> a
>>>>>>> marathon. I still have Markov Random Field and Markov Logic Network
>>>>>>> in
>>>>>>> line... and two of the largest private Brazilian banks on standby.
>>>>>>>
>>>>>>>>> On Nov 22, 2016, at 19:39, Yichao Yu <yyc1...@gmail.com> wrote:
>>>>>>>>>
>>>>>>>>> On Tue, Nov 22, 2016 at 4:23 PM, Kevin Liu <kvt...@gmail.com>
>>>>>>>>> wrote:
>>>>>>>>> I would like to remove variable "c" from factor C. I tried
>>>>>>>>> removing
>>>>>>>>> `Factor.` but it didn't work.
>>>>>>>>
>>>>>>>> There might be (almost certainly) multiple mistakes in the code so
>>>>>>>> fixing one won't fix all of them.
>>>>>>>>
>>>>>>>>>
>>>>>>>>>> On Tue, Nov 22, 2016 at 6:54 PM, Yichao Yu <yyc1...@gmail.com>
>>>>>>>>>> wrote:
>>>>>>>>>>
>>>>>>>>>>> On Tue, Nov 22, 2016 at 3:45 PM, Kevin Liu <kvt...@gmail.com>
>>>>>>>>>>> wrote:
>>>>>>>>>>> Yichao, I used a hashtag in the last message to show you what I
>>>>>>>>>>> want
>>>>>>>>>>> to
>>>>>>>>>>> do. Is it clear?
>>>>>>>>>>
>>>>>>>>>> No
>>>>>>>>>>
>>>>>>>>>> I'm just talking about the `Factor.` in the line I linked. I
>>>>>>>>>> don't
>>>>>>>>>> know what you want to access. Do you just want `FactorMargin`?
>>>>>>>>>> What's
>>>>>>>>>> the extra `Factor.` for?
>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>> On Nov 22, 2016, at 18:27, Yichao Yu <yyc1...@gmail.com> wrote:
>>>>>>>>>>>
>>>>>>>>>>>>> Yichao and DPSanders, I have already used instances of Factor
>>>>>>>>>>>>> on
>>>>>>>>>>>>> runtests.jl, instances A, B, and C
>>>>>>>>>>>>
>>>>>>>>>>>> AFAICT you are still accessing a non existing field of a
>>>>>>>>>>>> type[1]
>>>>>>>>>>>> and
>>>>>>>>>>>> it's unclear what you actually want to do.
>>>>>>>>>>>>
>>>>>>>>>>>> [1]
>>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>>> https://github.com/hpoit/MLN.jl/blob/1c13725666f34587e57c4a1757e6222cacaeab73/BN/src/FactorOperations.jl#L87
>>>>>>>>>>>>
>>>>>>>>>>>>>
>>>>>>>>>>>>> A=Factor(["a", "b"],[3, 2],[0.5, 0.1, 0.3, 0.8, 0, 0.9])
>>>>>>>>>>>>> B=Factor(["b", "c"],[2, 2],[0.5, 0.1, 0.7, 0.2])
>>>>>>>>>>>>> C = FactorProduct(A, B)
>>>>>>>>>>>>> FactorDropMargin(C, ["c"])
>>>>>>>>>>>>>
>>>>>>>>>>>>> Do you recommend I make any of the functions in
>>>>>>>>>>>>> FactorOperations.jl
>>>>>>>>>>>>> into inner constructors of `type Factor` in Factor.jl?
>>>>>>>>>
>>>>>>>>>
>>>>>>
>>>>>>
>>>>
>>>>
>>
>>
