SLIM
1.0
Sparse Linear Methods (SLIM) for top-n recommender systems
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include
def.h
Go to the documentation of this file.
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/**************************************************************/
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/*! \file
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\brief This file contains all the defined macros
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*/
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/**************************************************************/
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#ifndef __DEF_H__
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#define __DEF_H__
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/*! train file */
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#define CMD_TRAIN_FILE 1
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/*! test file */
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#define CMD_TEST_FILE 2
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/*! model file */
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#define CMD_MODEL_FILE 3
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/*! debug level */
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#define CMD_DBGLVL 4
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/*! lambda */
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#define CMD_LAMBDA 5
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/*! beta */
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#define CMD_BETA 6
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/*! starti */
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#define CMD_STARTI 7
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/*! endi */
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#define CMD_ENDI 8
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/*! opttol */
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#define CMD_OPTTOL 9
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/*! max BCLS iterations */
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#define CMD_MAX_BCLS_NITERS 10
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/*! feature selection constrain file */
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#define CMD_FS_FILE 11
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/*! feature selection */
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#define CMD_FS 12
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/*! number of features */
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#define CMD_K 13
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/*! block size */
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#define CMD_BSIZE 14
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/*! help */
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#define CMD_HELP 15
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/*! nratings */
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#define CMD_NRATINGS 16
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/*! predition file */
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#define CMD_PRED_FILE 17
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/*! number of recommendations */
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#define CMD_TOPN 18
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/*! transpose matrix */
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#define CMD_TRANSPOSE 19
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/*! epsilon */
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#define EPSILON (1e-5)
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/*! epsilon2 */
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#define EPSILON2 (1e-10)
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#endif
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