Speaking as an ignorant, lurker/nonuser of sklearn, the way I see this
being handled in neural nets is
https://keras.io/examples/cifar10_cnn/
model.add(Dense(num_classes)) model.add(Activation('softmax'))
Not sure if that will map to sklearn.
Bill
On 2/9/20 12:21 PM, Paul Chike Ofoche via scikit-learn wrote:
Hello all,
My name is Paul and I am enthused about data science. I have been
using Python and other programming languages for close to two years.
There is an issue that I have been facing since I began applying
Python to the analysis of my research work.
My question has remained unanswered for months. Has anybody not run
into the need to work with data whereby the regression results are a
multiple output, in which the output parameters are correlated with
each other? This is called a multi-output multivariate problem. A
version of random forest that handles multiple outputs is referred to
as the multivariate random forest. It is implemented in the
programming language, R (see attached reference documentation below).
Till date, there exists no such package in Python. My question is
whether anybody knows how to go about implementing this. The random
forest univariate regression case utilizes the Euclidean distance as
the measurement criteria, whereas the multivariate regression case
uses the Mahalanobis distance, which takes into account the
inter-relationships between the multiple outputs. I have inquired
about an equivalent capability in Python for many years, but it has
still not been addressed. Such a multivariate random forest mode is
very applicable to the type of research and analysis that I do. Could
someone help, please?
Thank you,
Paul Ofoche
PS: This is an important need for multivariate output analysis as a
technique to solving practical research problems. Here are some posted
questions by various other Python users concerning this same issue.
*https://datascience.stackexchange.com/questions/21637/code-for-multivariate-random-forest-in-python-r*
Multi-output regression
<https://stackoverflow.com/questions/49391637/multi-output-regression>
Multi-output regression
I have been looking in to Multi-output regression the last view weeks.
I am working with the scikit learn packag...
<https://stackoverflow.com/questions/49391637/multi-output-regression>
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