From e3f7237ffcb19f19db3b68777b5a94b89e07f66a Mon Sep 17 00:00:00 2001
From: ziejd2
Date: Thu, 13 Sep 2018 23:59:20 -0500
Subject: New parameter learning options

The main change here is in the parameter learning methods.  The parameters that are learned at first (i.e., if there is no evidence) are the distributions that are found directly in the data. I had to create or significantly modify several BNT files for this.

If there is evidence, the parameters are learned using a Dirichlet prior. This only required a couple of small changes to the BNW parameter learning files.
---
 .../data/example_chl/bWRcontinuous_input_orig.txt  | 42 ++++++++++++++++++++++
 1 file changed, 42 insertions(+)
 create mode 100644 sourcecodes/data/example_chl/bWRcontinuous_input_orig.txt

(limited to 'sourcecodes/data/example_chl')

diff --git a/sourcecodes/data/example_chl/bWRcontinuous_input_orig.txt b/sourcecodes/data/example_chl/bWRcontinuous_input_orig.txt
new file mode 100644
index 00000000..62705bb9
--- /dev/null
+++ b/sourcecodes/data/example_chl/bWRcontinuous_input_orig.txt
@@ -0,0 +1,42 @@
+Ctrq3	MAS	Neutrophil	Load	Weight
+2	0.969230769	3	3.252367514	1
+2	0.925170068	1.6	2.46322088	1.033472803
+1	0.427272727	33.8	4.206610024	0.831372549
+2	0.877835951	8.3	3.764250875	0.967153285
+2	0.914862915	4.4	3.691700208	1.046025105
+2	0.560334528	4.9	2.604550033	0.98046875
+1	0.383073497	13.1	4.273556814	0.812316716
+1	0.101010101	18.6	5.089640217	0.771929825
+1	0.106719368	18.9	4.915125346	0.80994152
+2	0.894736842	2.5	2.691700208	0.995515695
+1	0.067226891	19.8	4.878194228	0.846153846
+2	0.921022067	2.9	4.127428778	1.03875969
+2	0.938701923	0.7	4.366310867	0.984732824
+1	0.658008658	15.7	4.531121115	0.884210526
+2	0.9	4.8	2.604550033	0.913194444
+2	0.790923825	10.4	2.390670213	0.892857143
+1	0.295539033	8.6	4.24137213	0.85840708
+2	0.317757009	12.2	4.449648073	0.889830508
+1	0.032418953	20.2	5.053428044	0.811320755
+1	0.603960396	23.4	4.283775979	0.805460751
+2	0.939351199	3.6	2.349277527	0.952380952
+1	0.978448276	0.4	3.495405563	0.8875
+1	0.1	23.2	4.675613388	0.766101695
+1	0.036363636	32.6	4.938109253	0.828125
+1	0.660247593	9.2	3.826398782	0.921052632
+1	0.078651685	35.8	4.513630383	0.852112676
+1	0.186915888	20.7	5.048247532	0.779761905
+1	0.071578947	35.6	4.574586809	0.797356828
+1	0.239520958	15.4	4.331548761	0.941176471
+1	0.205741627	24.5	5.058547488	0.774193548
+1	0.062300319	13.4	4.594790195	0.832236842
+2	0.599675851	5	4.18178644	0.969348659
+1	0.324246772	13.5	4.252367514	0.858585859
+1	0.87628866	14.2	2.929061124	0.869863014
+1	0.146103896	15.6	4.579726449	0.9
+1	0.257383966	22.5	5.210214148	0.75
+1	0.033333333	31.1	4.632578756	0.718644068
+1	0.29739777	36.1	3.880756445	0.798353909
+2	0.872979215	4.2	4.097465554	0.856756757
+2	0.909221902	4.3	3.650307523	0.976
+1	0.10041841	28.3	4.46322088	0.757462687
-- 
cgit 1.4.1