I hereby claim:
- I am emergentorder on github.
- I am emergentorder (https://keybase.io/emergentorder) on keybase.
- I have a public key ASDJaJs1GaUIcsYsK-MQUPWkTOpnmZsJPr6xmPKEg__gVQo
To claim this, I am signing this object:
Alex Merritt EmergentOrder
EmergentOrder
/ keybase.md
Created
August 22, 2018 23:28
EmergentOrder
/ gist:21132e0b9fddb7272a62
Last active
September 16, 2015 19:17
BIDMach LR ( SPPMI vs TF-IDF)
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| K=3 for all SPPMI. Training data is 16k tweets sampled from the Twitter140 corpus. | |
| SPPMI, Vector size: 500, additive | |
| Train set accuracy: 0.58786 | |
| SPPMI, Vector size: 2500, additive | |
| Train set accuracy: 0.67468 | |
| SPPMI, Vector size: 7500, additive | |
| Train set accuracy: 0.76 |
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| 10 iters | |
| W/ BIDMach | |
| [INFO] [CoreWorkflow$] Training completed successfully. | |
| real 1m1.809s | |
| user 1m51.967s | |
| sys 0m6.074s |
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| Based on the BIDMach tutorial here: http://nbviewer.ipython.org/github/biddata/bidmach/blob/master/tutorials/NBandLR.ipynb | |
| No native: | |
| 100.00%, ll=-0.01208, gf=0.617, secs=1226.6, GB=1.61, MB/s= 1.31 | |
| Time=1226.6310 secs, gflops=0.62 | |
| Mean Accuracy: 0.98650 | |
| w/ GPU: |