diff options
| author | ziejd2 | 2018-09-13 23:59:20 -0500 |
|---|---|---|
| committer | ziejd2 | 2018-09-13 23:59:20 -0500 |
| commit | e3f7237ffcb19f19db3b68777b5a94b89e07f66a (patch) | |
| tree | 554a8013776ebeae3e2976074020c09c2d1af8b0 /sourcecodes/data/examplecar15node | |
| parent | a7eb61ff7a09f39bee67014bf24b8919eaccfc19 (diff) | |
| download | BNW-e3f7237ffcb19f19db3b68777b5a94b89e07f66a.tar.gz | |
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.
Diffstat (limited to 'sourcecodes/data/examplecar15node')
| -rw-r--r-- | sourcecodes/data/examplecar15node/eIAcontinuous_input_orig.txt | 1001 |
1 files changed, 1001 insertions, 0 deletions
diff --git a/sourcecodes/data/examplecar15node/eIAcontinuous_input_orig.txt b/sourcecodes/data/examplecar15node/eIAcontinuous_input_orig.txt new file mode 100644 index 00000000..a31cb481 --- /dev/null +++ b/sourcecodes/data/examplecar15node/eIAcontinuous_input_orig.txt @@ -0,0 +1,1001 @@ +Voltage_at_plug Car_cranks Spark_plugs Spark_quality Distributer Spark_timing Car_starts Headlights Alternator Charging_system Battery_voltage Battery_age Main_fuse Starter_system Starter_motor +3 2 3 3 2 3 2 3 2 2 3 1 2 2 2 +3 2 3 3 2 3 2 3 2 2 3 1 2 2 2 +1 1 3 1 2 3 1 1 2 1 1 1 2 1 2 +1 1 1 1 2 3 1 1 2 1 1 1 2 1 2 +3 2 3 3 2 3 2 3 2 2 3 1 2 2 2 +3 1 3 3 2 3 1 3 2 2 3 1 2 1 2 +3 2 2 2 2 3 2 3 2 2 3 1 2 2 2 +3 2 3 3 2 3 2 3 2 2 3 1 2 2 2 +2 1 3 2 2 3 1 3 2 2 3 1 2 2 2 +3 2 2 2 2 3 2 3 2 2 3 1 2 2 2 +2 2 3 2 2 3 2 3 2 2 3 1 2 2 2 +2 1 3 2 2 3 1 2 2 1 2 2 2 2 2 +1 1 3 1 2 3 1 1 2 1 1 2 2 1 2 +1 1 3 1 2 2 1 1 2 1 1 1 2 1 2 +3 1 3 3 2 2 1 3 2 2 3 1 2 2 2 +1 1 1 1 2 3 1 1 2 1 1 2 2 1 2 +1 1 2 1 2 3 1 1 2 1 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