quantile LINEAR regression by using python Deep neural networks packages
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quantile LINEAR regression by using python Deep neural networks packages
do it for all main Deep NN packages , but do not use hidden layers
LINEAR regression MEANS NO hidden layers
(upper + lower ) / 2 performance should be not worse than
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should work not slower than
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keras for example point to start [login to view URL]
tensor flow
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pytorch
then it should be 4 solutions, all of them should provide good performance
each solution in separate file
data is mixture of categorical and continues features
at least 3 categorical features
at least 3 continues features
at least 10000 rows
you find needed data sets by yourself : several datasets ( more than 2)
all data sets used for all models
see
primitive linear (or log-linear) model W \cdot \mathbf{x} + \mathbf{b} (where W is a weight matrix, \mathbf{x} = (x_1, x_2) is an input vector, and \mathbf{b} is a bias vector) without hidden layers,
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better to find and use existing code from web, then you include web links for source
to prove all done correctly: make prediction manually use only one dimension vector coefficients
like
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coef_ : ndarray of shape (n_features,) or (n_targets, n_features)
Weight vector(s).
you prove correctness by upper prediction = Data * coef_upper_
you prove correctness by lower prediction = Data * coef_lower_
coef_upper_
coef_lower_
like
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coef_ : array of shape (n_features,)
Estimated coefficients for the features
YOU NEED TO EXTRACT
coef_upper_
coef_lower_
FROM ML MODEL
you baseline FOR PREDICTOIN
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you baseline FOR UPPER AND LOWER INTERVALS
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and of course hyperparameters search like optimizer adam , mrop and etc
Hello client.
I read your post and I really want to work with you, if it is possible.
I work as a AI engineer, you can check my profile to proof.
I worked a lot of ML/DL projects before. If you want to see, I can show them.
Which type of code formation do you want to receive Jupyter notebook or .py file ?
Also can you tell me exactly time ?
I GUARANTEE MY WORK. If you don't like my work, I will complete it as you want and it will be free
I will wait your response
Best regards
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