Questions tagged [multi-output]
The multi-output tag has no usage guidance.
24
questions
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10 views
aggregating multi output regression outputs vs single output (=top down) approach: is it worth it?
basically I have this problem where I need to forecast the sales of some stores. such stores have multiple product lines of which I have the split data (say Y1,Y2,Y3 where Y1+Y2+Y3=Y). I have also ...
2
votes
1answer
21 views
Given a regression based model with many feature variables; what tools would you utilize to figure out which feature variables add the most variance?
Given a hypothetical dataset {S} with 100 X feature variables and 10 predicted Y variables.
X1
...
X100
Y1
....
Y10
1
..
2
3
..
4
4
..
3
2
..
1
Let's say I want to improve the accuracy of Y1. I am ...
1
vote
1answer
34 views
What method/algorithm for constrained multi-target regression
I am working with three dimensional measurement data and want to model them using a multivariate linear regression.
I have already implemented a simple gradient descent algorithm to solve the classic ...
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0answers
8 views
How to compute the R2-score for multivariate data?
I have a model that for each instance predicts some values and I have the real measurements for each instance, but the number of data points varies among instances, say, for the first one I have 4 ...
0
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0answers
9 views
Enforce Floor limit when predicting values using Multioutput Regression with Gradient Booster
I have a very simple program below that builds a model using multi-output regression. Even though all the training data consists of positive float values I'm discovering that predictions made often ...
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0answers
28 views
Tensorflow Model not returning a Distribution object when having DistributionLambda as last layer in a multitasking model
I am building a TF CNN model that takes a picture as input and has 3 outputs (multitask learning). On one of the output layers, I would like to output a distribution object, ...
0
votes
1answer
46 views
How To Motivate A Neural Network
Suppose a training dataset contains the following inputs:
company size
number of employees
turnover
average salary
country
years of operation
...and outputs:
...
0
votes
1answer
57 views
Neural Network for Multiple Dependent Outputs
I have a dataset with approx 6 input features and 5 output values to be predicted. I am trying to understand what kind of neural network would be most suitable to assign probability across multiple ...
1
vote
1answer
67 views
Multiple output size in neural network
In the paper "A NOVEL FOCAL TVERSKY LOSS FUNCTION WITH IMPROVED ATTENTIONU-NETFOR LESION SEGMENTATION" the author use deep supervision by outputing multiple outputmask which have different ...
0
votes
2answers
318 views
Custom output names for keras model
I have a model like this with multiple outputs and i want to change it's output names
...
0
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0answers
49 views
Multioutput classification: How do I get probabilities of continuous dependent variables?
I'm new to ML and want to try several methods on my data set to compare it and develop a better feeling for the individual approaches.
My data set has several independent variables which I want to ...
0
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0answers
23 views
Multi input multi output mapping with keras in R
I have five continuous variables I would like to predict ($y_1,...,y_5$). I have some prior belief that these variables are related in such a way that $y_1 \rightarrow y_2 \rightarrow y_3 \rightarrow ...
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0answers
20 views
Derivative of multi-output Gaussian Process
I am working on a project where I estimate transition and measurements models for a kalman filter using Gaussian Processes.
In order to linearize the models I require the Jacobian of the estimated ...
1
vote
1answer
94 views
Keras loaded model output is different from the training model output
When I train my model it has a two-dimension output - it is (none, 1) - corresponding to the time series I'm trying to predict. But whenever I load the saved model in order to make predictions, it has ...
1
vote
0answers
23 views
Validation Accuracy greater than train accuracy, validation loss lesser than training loss MTL
I am training a multi task model using VGG16.
Datase:
Dataset contain 11K images. There are two tasks:
The dataset is imbalanced,
1) PFR classification: 10 classes
0 --- 5776
10-12 --- 1066
6-...
2
votes
1answer
31 views
Control which features are used for every task in multioutput classification?
I would like to perform a multiclass-multioutput classification task, on vectorized textual data. I started by using a random forest classifier in a multioutput startegy:
...
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vote
0answers
16 views
What toolbox to use to create multi-output random forest(reggression) with custom spltting function at each node?
I am trying to implement "Real Time Head Pose Estimation fromConsumer Depth Cameras" by Fanelli et al.
I need to train a random forest(regression) with the following criterion
The predicted output is ...
3
votes
1answer
46 views
Physical modelling with neural networks - single output + stack ensemble vs multi-output
We are trying to replace an existing physical model (8 inputs/7 outputs) with artificial neural networks. The physics behind the existing model is mainly thermodynamics of humid air for air ...
4
votes
2answers
275 views
Are there any Python libraries for predicting the closest value to a correct label out of a variable-size list of possible label values?
Imagine I have the following dataset:
...
2
votes
1answer
64 views
unique predictions for “multi-label multi-output” classification task
Let’s assume that four participants (A, B, C and D) take on five sport-challenges (e.g. swimming, running, ...). Our goal is to predict the placement of each participant for each challenge. Moreover, ...
0
votes
0answers
20 views
Combining several Multi-Output-Models into a single Multi-Output-Model
I'm trying to create a k-Nearest-Neighbor based model of 76-dimensional input data $I$ and 44-dimensional output data $O$.
Through domain knowledge I know that only certain input dimensions are ...
0
votes
2answers
2k views
How to feed data to multi-output Keras model from a single TFRecords file
I know how to feed data to a multi-output Keras model using numpy arrays for the training data. However, I have all my data in a single TFRecords file comprising several feature columns: an image, ...
0
votes
1answer
451 views
Minimal example: Keras functional API & multi-input/multi-output regression
Problem:
I have a regression problem, where I want to predict two or more numerical outcomes $y_i$ based on a number of numerical features $X_i$. The model would look like: $$y_{1,i}, y_{2,i} = \...
1
vote
2answers
214 views
More output neurons than labels?
When we train a neural network model for a classification problem, we usually have a dense output layer of size equal to the number of labels we have.
If the layer size was greater, the model can ...
