Answers.Body: <p>ANNs can do the trick. Check out <a href="https://scikit-learn.org/stable/auto_examples/neural_networks/plot_mnist_filters.html#sphx-glr-auto-examples-neural-networks-plot-mnist-filters-py" rel="nofollow noreferrer">sklearn's ANN</a> example with the Digits dataset, which consists of 28x28 pixel input data.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2021-06-14T03:47:42.430Z
Answers.LastActivityDate: 2021-07-14T10:56:23.430Z
Answers.LastEditDate: 2021-07-14T10:56:23.430Z
Answers.UserDisplayName: A_Arnold
Body: <p>I am pretty new to the machine learning field. I want to use an <span class="math-container">$n \times m$</span> matrix as the input of a model, in order to predict a vector <span class="math-container">$1 \times m$</span>, both of real numbers. Input data are quite clean, with statistics of about 10000 items. </p>
  
  <p>Do you know a method that can handle that?</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2020-05-16T16:28:07.033Z
Comments.Text: *Hint*: Start by flattening the $n\times m$ matrix to a $nm\times 1$ vector.
Comments.UserDisplayName: user26872
Tags: <machine-learning><ai-design><reference-request>
Title: Which machine learning method can take a matrix as input?
UserDisplayName: Xavier Prudent
ThreadText: # Which machine learning method can take a matrix as input?
  
  (Asked by: username_0 on 2020-05-16)
  
  I am pretty new to the machine learning field. I want to use an $n \times m$ matrix as the input of a model, in order to predict a vector $1 \times m$, both of real numbers. Input data are quite clean, with statistics of about 10000 items.
  
  Do you know a method that can handle that?
  
  **Tags:** machine-learning, ai-design, reference-request
  
  > **Comments:**
  > **username_1**: *Hint*: Start by flattening the $n\times m$ matrix to a $nm\times 1$ vector.  
  
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  ## 1 answers
  
  ### Answer by username_2 on 2021-06-14. Score: 1
  
  ANNs can do the trick. Check out [sklearn's ANN](https://scikit-learn.org/stable/auto_examples/neural_networks/plot_mnist_filters.html#sphx-glr-auto-examples-neural-networks-plot-mnist-filters-py) example with the Digits dataset, which consists of 28x28 pixel input data.
  
  
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