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Questions tagged [multi-output]

2 votes
1 answer
50 views

In multiclass classification, typically we have a dataframe that looks like ...
Ishigami's user avatar
  • 183
0 votes
1 answer
218 views

I am working on a model with multiple inputs and outputs. Passing the outputs as dictionary in model.fit works fine, but if I want to do the same with the inputs, I always get the following error: <...
Simon's user avatar
  • 1
1 vote
1 answer
526 views

So right now I have made 2 neural networks to predict x and y coordinates separately. One for x, and one for y. I'm looking for a reason to backup my assignment. I have search for this and most of the ...
Secondary Juggernaut's user avatar
0 votes
1 answer
82 views

I have weekly time series data for the last 2 years with variables "week", "marketing_spend", "web_traffic", and "revenue" ...
sdave's user avatar
  • 101
1 vote
1 answer
999 views

I'm trying to make a model for a multi-output regression task where $y=(y_1, y_2,..., y_n)$ is a vector rather than a single scalar. I am using Scikit-learn's ...
Hassan Abedi's user avatar
0 votes
1 answer
132 views

I have output data as follows: Then I encode into : Then I convert into vector: The input of model is word embedding of sentence. My question is that: Can ML or DL return a vector output above? If ...
Sherry's user avatar
  • 21
-1 votes
1 answer
175 views

I have a model of the following structure. It has 6 outputs. Given an image, the model predicts classes of 6 different components from the image. The metrics I used are: As you can see it outputs an ...
Exo's user avatar
  • 1
1 vote
1 answer
2k views

Consider the following, rather simple, model: ...
Mehran's user avatar
  • 277

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