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Rm generated files from tracking.

pull/131/head
Ross Barnowski 3 months ago
parent
commit
2df02856bc
  1. 186
      content/mooreslaw_regression.csv
  2. BIN
      content/mooreslaw_regression.npz
  3. BIN
      content/tutorial-x-ray-image-processing/xray_image.gif

186
content/mooreslaw_regression.csv

@ -1,186 +0,0 @@
# the columns in this file are the result of a linear regression model
# the columns include
# year: year of manufacture
# transistor_count: number of transistors reported by manufacturers in a given year
# transistor_count_predicted: linear regression model = exp(-666.33)*exp(0.34*year)
# transistor_Moores_law: Moores law =exp(-675.38)*exp(0.35*year)
# year:, transistor_count:, transistor_count_predicted:, transistor_Moores_law:
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2.018000000000000000e+03,9.000000000000000000e+09,1.063202224650451469e+10,2.669238720682168579e+10
2.019000000000000000e+03,5.990000000000000000e+09,1.496183306881744766e+10,3.774873600000028229e+10
2.019000000000000000e+03,9.890000000000000000e+09,1.496183306881744766e+10,3.774873600000028229e+10
2.019000000000000000e+03,3.954000000000000000e+10,1.496183306881744766e+10,3.774873600000028229e+10
2.019000000000000000e+03,3.000000000000000000e+10,1.496183306881744766e+10,3.774873600000028229e+10
1 # the columns in this file are the result of a linear regression model
2 # the columns include
3 # year: year of manufacture
4 # transistor_count: number of transistors reported by manufacturers in a given year
5 # transistor_count_predicted: linear regression model = exp(-666.33)*exp(0.34*year)
6 # transistor_Moores_law: Moores law =exp(-675.38)*exp(0.35*year)
7 # year:, transistor_count:, transistor_count_predicted:, transistor_Moores_law:
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9 1.972000000000000000e+03,3.500000000000000000e+03,1.590908400344209667e+03,3.181980515339620069e+03
10 1.973000000000000000e+03,2.500000000000000000e+03,2.238793840142230238e+03,4.500000000000097316e+03
11 1.974000000000000000e+03,3.000000000000000000e+03,3.150525735846483713e+03,6.363961030678889983e+03
12 1.974000000000000000e+03,4.100000000000000000e+03,3.150525735846483713e+03,6.363961030678889983e+03
13 1.974000000000000000e+03,6.000000000000000000e+03,3.150525735846483713e+03,6.363961030678889983e+03
14 1.974000000000000000e+03,8.000000000000000000e+03,3.150525735846483713e+03,6.363961030678889983e+03
15 1.975000000000000000e+03,4.528000000000000000e+03,4.433553565432555843e+03,8.999999999999699867e+03
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17 1.975000000000000000e+03,5.000000000000000000e+03,4.433553565432555843e+03,8.999999999999699867e+03
18 1.976000000000000000e+03,5.000000000000000000e+03,6.239084795883581137e+03,1.272792206135852757e+04
19 1.976000000000000000e+03,8.500000000000000000e+03,6.239084795883581137e+03,1.272792206135852757e+04
20 1.976000000000000000e+03,6.500000000000000000e+03,6.239084795883581137e+03,1.272792206135852757e+04
21 1.976000000000000000e+03,8.000000000000000000e+03,6.239084795883581137e+03,1.272792206135852757e+04
22 1.977000000000000000e+03,7.000000000000000000e+03,8.779904993981474036e+03,1.800000000000045475e+04
23 1.978000000000000000e+03,9.000000000000000000e+03,1.235545504273335973e+04,2.545584412271565452e+04
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26 1.979000000000000000e+03,2.900000000000000000e+04,1.738712086493533207e+04,3.599999999999893043e+04
27 1.979000000000000000e+03,6.800000000000000000e+04,1.738712086493533207e+04,3.599999999999893043e+04
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38 1.986000000000000000e+03,1.100000000000000000e+05,1.900247505805244436e+05,4.072935059634535573e+05
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69 1.997000000000000000e+03,1.500000000000000000e+04,8.144574166134306230e+06,1.843200000000081211e+07
70 1.998000000000000000e+03,7.500000000000000000e+06,1.146139052994999662e+07,2.606678438166131452e+07
71 1.999000000000000000e+03,1.110000000000000000e+05,1.612895532663276047e+07,3.686399999999959022e+07
72 1.999000000000000000e+03,9.500000000000000000e+06,1.612895532663276047e+07,3.686399999999959022e+07
73 1.999000000000000000e+03,1.350000000000000000e+07,1.612895532663276047e+07,3.686399999999959022e+07
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173 2.018000000000000000e+03,8.500000000000000000e+09,1.063202224650451469e+10,2.669238720682168579e+10
174 2.018000000000000000e+03,6.900000000000000000e+09,1.063202224650451469e+10,2.669238720682168579e+10
175 2.018000000000000000e+03,6.900000000000000000e+09,1.063202224650451469e+10,2.669238720682168579e+10
176 2.019000000000000000e+03,1.030000000000000000e+10,1.496183306881744766e+10,3.774873600000028229e+10
177 2.019000000000000000e+03,8.000000000000000000e+09,1.496183306881744766e+10,3.774873600000028229e+10
178 2.018000000000000000e+03,5.500000000000000000e+09,1.063202224650451469e+10,2.669238720682168579e+10
179 2.018000000000000000e+03,1.000000000000000000e+10,1.063202224650451469e+10,2.669238720682168579e+10
180 2.019000000000000000e+03,8.500000000000000000e+09,1.496183306881744766e+10,3.774873600000028229e+10
181 2.018000000000000000e+03,8.786000000000000000e+09,1.063202224650451469e+10,2.669238720682168579e+10
182 2.018000000000000000e+03,9.000000000000000000e+09,1.063202224650451469e+10,2.669238720682168579e+10
183 2.019000000000000000e+03,5.990000000000000000e+09,1.496183306881744766e+10,3.774873600000028229e+10
184 2.019000000000000000e+03,9.890000000000000000e+09,1.496183306881744766e+10,3.774873600000028229e+10
185 2.019000000000000000e+03,3.954000000000000000e+10,1.496183306881744766e+10,3.774873600000028229e+10
186 2.019000000000000000e+03,3.000000000000000000e+10,1.496183306881744766e+10,3.774873600000028229e+10

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