Commit 8cf6d3d2 authored by Steven Pisarski's avatar Steven Pisarski

Ensured that the fact predictions for the EngineTest include all real numbers instead of any 'NaN'.

parent 4eb5c9fa
......@@ -40,8 +40,6 @@ facts:
- name: downstream_receive_power_num
description: fact 1-out
type: float
# position: 1
# position: 100
position: 140
algo:
name: linearRegression
......
......@@ -36,92 +36,362 @@ dimensions:
position: 50
facts:
- name: downstream_receive_power_num
description: fact 1
description: fact 1-out
type: float
position: 10
position: 140
algo:
name: linearRegression
flatten:
mode: log
base: 2
iterations: 3
polyDegree: 3
iterations: 20
stepSize: 0.001
iterations: 75
stepSize: 0.002
weights:
- name: day_of_week
weight: 10
- name: day_of_month
weight: 10
- name: day_of_year
weight: 10
- name: hour_of_day
weight: 50
- name: month_of_year
weight: 25
- name: year
weight: 10
- name: cmts
weight: 150
- name: node
weight: 200
- name: mac
weight: 250
- name: lat
weight: 250
- name: lng
weight: 250
- name: upstream_transmit_power_num
description: fact 2
description: fact 2-out
type: float
position: 20
position: 110
algo:
name: linearRegression
polyDegree: 3
iterations: 20
stepSize: 0.001
flatten:
mode: log
base: 5
iterations: 2
polyDegree: 2
iterations: 75
stepSize: 0.04
weights:
- name: day_of_week
weight: 10
- name: day_of_month
weight: 10
- name: day_of_year
weight: 10
- name: hour_of_day
weight: 100
- name: month_of_year
weight: 50
- name: year
weight: 10
- name: cmts
weight: 100
- name: node
weight: 100
- name: mac
weight: 150
- name: lat
weight: 150
- name: lng
weight: 150
- name: downstream_snr_rt
description: fact 3
description: fact 3-out
type: float
position: 30
position: 130
algo:
name: linearRegression
polyDegree: 3
iterations: 20
stepSize: 0.001
flatten:
mode: log
base: 5
iterations: 2
polyDegree: 2
iterations: 75
stepSize: 0.05
weights:
- name: day_of_week
weight: 10
- name: day_of_month
weight: 10
- name: day_of_year
weight: 10
- name: hour_of_day
weight: 100
- name: month_of_year
weight: 50
- name: year
weight: 10
- name: cmts
weight: 100
- name: node
weight: 100
- name: mac
weight: 150
- name: lat
weight: 150
- name: lng
weight: 150
- name: t3_timeouts_cnt
description: fact 4
type: integer
position: 40
algo:
name: linearRegression
polyDegree: 3
iterations: 20
stepSize: 0.001
flatten:
mode: log
base: 5
iterations: 2
polyDegree: 4
iterations: 30
stepSize: 0.02
weights:
- name: day_of_week
weight: 10
- name: day_of_month
weight: 10
- name: day_of_year
weight: 10
- name: hour_of_day
weight: 100
- name: month_of_year
weight: 50
- name: year
weight: 10
- name: cmts
weight: 100
- name: node
weight: 100
- name: mac
weight: 150
- name: lat
weight: 150
- name: lng
weight: 150
- name: t4_timeouts_cnt
description: fact 4b
type: integer
position: 41
algo:
name: linearRegression
polyDegree: 3
iterations: 20
stepSize: 0.001
flatten:
mode: log
base: 5
iterations: 2
polyDegree: 4
iterations: 30
stepSize: 0.02
weights:
- name: day_of_week
weight: 10
- name: day_of_month
weight: 10
- name: day_of_year
weight: 10
- name: hour_of_day
weight: 100
- name: month_of_year
weight: 50
- name: year
weight: 10
- name: cmts
weight: 100
- name: node
weight: 100
- name: mac
weight: 150
- name: lat
weight: 150
- name: lng
weight: 150
- name: lost_syncs_cnt
description: fact 5
type: integer
position: 50
algo:
name: linearRegression
flatten:
mode: log
base: 5
iterations: 3
polyDegree: 3
iterations: 20
stepSize: 0.001
iterations: 50
stepSize: 0.02
weights:
- name: day_of_week
weight: 10
- name: day_of_month
weight: 10
- name: day_of_year
weight: 10
- name: hour_of_day
weight: 100
- name: month_of_year
weight: 50
- name: year
weight: 10
- name: cmts
weight: 100
- name: node
weight: 100
- name: mac
weight: 150
- name: lat
weight: 150
- name: lng
weight: 150
- name: resets_cnt
description: fact 6
type: integer
position: 60
algo:
name: linearRegression
polyDegree: 3
iterations: 20
stepSize: 0.001
flatten:
mode: log
base: 5
iterations: 2
polyDegree: 2
iterations: 70
stepSize: 0.025
weights:
- name: day_of_week
weight: 10
- name: day_of_month
weight: 10
- name: day_of_year
weight: 10
- name: hour_of_day
weight: 100
- name: month_of_year
weight: 50
- name: year
weight: 10
- name: cmts
weight: 100
- name: node
weight: 100
- name: mac
weight: 150
- name: lat
weight: 150
- name: lng
weight: 150
- name: ds_fec_corrected_cnt
description: fact 7
type: integer
position: 70
algo:
name: linearRegression
polyDegree: 3
iterations: 20
stepSize: 0.001
flatten:
mode: log
base: 5
iterations: 2
polyDegree: 4
iterations: 30
stepSize: 0.02
weights:
- name: day_of_week
weight: 10
- name: day_of_month
weight: 10
- name: day_of_year
weight: 10
- name: hour_of_day
weight: 100
- name: month_of_year
weight: 50
- name: year
weight: 10
- name: cmts
weight: 100
- name: node
weight: 100
- name: mac
weight: 150
- name: lat
weight: 150
- name: lng
weight: 150
- name: ds_fec_uncorrected_cnt
description: fact 8
type: integer
position: 80
algo:
name: linearRegression
polyDegree: 3
iterations: 20
stepSize: 0.001
flatten:
mode: log
base: 5
iterations: 2
polyDegree: 4
iterations: 30
stepSize: 0.02
weights:
- name: day_of_week
weight: 10
- name: day_of_month
weight: 10
- name: day_of_year
weight: 10
- name: hour_of_day
weight: 100
- name: month_of_year
weight: 50
- name: year
weight: 10
- name: cmts
weight: 100
- name: node
weight: 100
- name: mac
weight: 150
- name: lat
weight: 150
- name: lng
weight: 150
- name: ds_fec_unerrored_cnt
description: fact 9
type: integer
position: 90
algo:
name: linearRegression
polyDegree: 3
iterations: 20
stepSize: 0.001
flatten:
mode: log
base: 5
iterations: 2
polyDegree: 4
iterations: 30
stepSize: 0.02
weights:
- name: day_of_week
weight: 10
- name: day_of_month
weight: 10
- name: day_of_year
weight: 10
- name: hour_of_day
weight: 100
- name: month_of_year
weight: 50
- name: year
weight: 10
- name: cmts
weight: 100
- name: node
weight: 100
- name: mac
weight: 150
- name: lat
weight: 150
- name: lng
weight: 150
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