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Full Discussion: Programming using sklearn
Top Forums Shell Programming and Scripting Programming using sklearn Post 303021135 by chercheur111 on Sunday 5th of August 2018 11:56:07 AM
Old 08-05-2018
Programming using sklearn

Hi,
Please i'd like to use prediction techniques in sklearn
I have this file:


Code:
x | y 

1| 1
2| 4
4|16


--> prediction techniques must give me this model y=x*x


using this model i can predict the value y of x=3
This is a sample example. In my experiment i use a file with 1000 lines.
Please, how can transform these lines on codes ?


Code:

from sklearn.preprocessing import PolynomialFeatures 
from sklearn import linear_model  
X = [[1, 2, 4], [1, 4, 16]]  
poly = PolynomialFeatures(degree=2) 
X_ = poly.fit_transform(X)

Thank you so much for help.
Kind regards.

Last edited by chercheur111; 08-05-2018 at 01:01 PM..
 

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RG::Reprof(3pm) 					User Contributed Perl Documentation					   RG::Reprof(3pm)

NAME
RG::Reprof::Reprof - protein secondary structure and accessibility predictor SYNOPSIS
use RG::Reprof::Reprof; DESCRIPTION
See module commented source for further details. Methods OBJ RG::Reprof::Reprof->new( model_dir => PATH ) Default model_dir: /tmp/lkajan/root/share/reprof. Returns new instance of RG::Reprof::Reprof. int $OBJ->run( input_file => PATH, out_file => PATH, mutation_file => PATH, specific_models => hashref, output_func => coderef ) out_file may be a directory. mutation_file may be undefined. specific_models may be undefined. This is a hash of model and feature files with 'model_name' keys like: { 'fub_model' => '/path/to/model_file', 'fub_features' => '/path/to/features_file' } Check the module source for the list for model names. void output_func( out_file, sec_pred, acc_pred, sequence ) - function to call when output is ready. If undefined, the built-in write_output() function is called that prints results to one or more files. The following positional parameters are passed to this function: out_file Output file name. sec_pred Secondary structure prediction, see source for details. acc_pred Accessibility prediction, see source for details. sequence Reference to array of residues of input sequence (e.g. [ 'M', 'A', 'G', ... ] ). AUTHOR
Original version by Peter Hoenigschmid <hoenigschmid@rostlab.org> and Burkhard Rost. Some perl module work and documentation by Laszlo Kajan <lkajan@rostlab.org>. SEE ALSO
<http://rostlab.org/> perl v5.14.2 2012-01-13 RG::Reprof(3pm)
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