dmc - DATA-MINING-CUP-2012 project

Age	Commit message (Collapse)	Author	Files	Lines
2012-05-12	run_tests: Drop random prediction method	Jan Klemkow	1	-1/+1
	Verified by: rnd_prod = (method_idx == 6); run_tests; rnd_prod = (rnd_prod & (method_idx == 6)); sum(rnd_prod)
2012-05-12	get_products: Return the real price classification set as well	Benjamin Franzke	1	-1/+2

2012-05-12	opt_pred: Split opt_pred in opt_idx and opt_pred.	Jan Klemkow	1	-1/+2
	So you can use the idx of opt_idx for other predictions.
2012-05-12	chi_pred: add an inactive chi rand. pred method.	Jan Klemkow	1	-1/+2

2012-05-11	run_tests: Disable all plots	Benjamin Franzke	1	-2/+2

2012-05-11	run_tests: Pack struct definition into a anonymous function	Benjamin Franzke	1	-7/+8

2012-05-11	run_tests: Use end-keyword for appending to a vector	Benjamin Franzke	1	-1/+1

2012-05-11	run_tests: Use an vector of structs for the prediction methods	Benjamin Franzke	1	-11/+11
	Allows use to use e.g. pred_methods.name.
2012-05-11	run_tests: Optimize local_min_count storage	Benjamin Franzke	1	-2/+2

2012-05-11	run_tests: Add optimze errors into qerr/terr directly	Benjamin Franzke	1	-3/+1

2012-05-11	Put local error calculation into calc_error	Benjamin Franzke	1	-6/+3

2012-05-11	Store all non-emta prediction methods in a cell-array	Benjamin Franzke	1	-30/+25

2012-05-11	Move frequency removal regression into its own function	Benjamin Franzke	1	-7/+1

2012-05-11	Remove log+quad algorithm	Benjamin Franzke	1	-4/+1
	Its really not needed since wehave optimize
2012-05-11	sevenday_pred: Use same prototype as for other tests	Benjamin Franzke	1	-1/+1

2012-05-11	mean/rand_pred: Use same function prototype as regress_pred	Benjamin Franzke	1	-2/+2
	The number of days is implicit in the size of the given price and quantity matrices.
2012-05-11	run_tests: Store local_min_count in a variable as well	Benjamin Franzke	1	-2/+4

2012-05-11	Print local min count for the prediction algorithms	Benjamin Franzke	1	-2/+7

2012-05-11	Remove logarithmic + quad from optimized prediction	Benjamin Franzke	1	-3/+3
	..since optimized prediction does the same but more.
2012-05-11	Add sevenday removal algorithm to optimize-prediction	Benjamin Franzke	1	-12/+13

2012-05-11	Add optimization method.	Jan Klemkow	1	-2/+8

2012-05-10	run_tests: rotate err matrics.	Jan Klemkow	1	-10/+10

2012-05-10	run_tests: calculate global min. error.	Jan Klemkow	1	-1/+19

2012-05-10	run_tests: Rather call the combined l&q	Benjamin Franzke	1	-1/+1
	..since its mainly logarithmic.
2012-05-10	Combine logarithmic and quad prediction	Benjamin Franzke	1	-0/+1
	Product 335 scales better with quadratic prediction.
2012-05-10	calc_error: return quad and total errors.	Jan Klemkow	1	-6/+6

2012-05-10	run_tests: Code clean up.	Jan Klemkow	1	-6/+16

2012-05-10	Add quadratic interterpolation	Benjamin Franzke	1	-0/+2
	Not usable at all, worse than mean value.
2012-05-10	Add logarithmic interpolation predection	Benjamin Franzke	1	-0/+1
	Slightly better than linear regression.
2012-05-10	Add a method for random prediction.	Jan Klemkow	1	-0/+1
	This method show the distace from nonsence to the other methods. It uses the variance of each product for prediction.
2012-05-08	Add frequency removal to run_tests (bad result)	Benjamin Franzke	1	-0/+8

2012-05-07	Display type in run_tests	Jan Klemkow	1	-4/+4

2012-05-07	Calculate errors in seperate function and plot error graph.	Jan Klemkow	1	-13/+6

2012-05-07	Add sevenday prediction.	Jan Klemkow	1	-4/+10

2012-05-07	Add total error calculation.	Jan Klemkow	1	-2/+9

2012-04-24	Add prediction test using linear regression	Benjamin Franzke	1	-0/+1

2012-04-24	run_tests.m: Initialize product data	Jan Klemkow	1	-0/+1

2012-04-24	Add mean prediction test	Jan Klemkow	1	-0/+1