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Rendered TeX expressions in c9024e9
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texify[bot] committed Mar 4, 2019
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4 changes: 2 additions & 2 deletions README.md
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Expand Up @@ -68,7 +68,7 @@ python multitaskAIS.py \
After the Embedding layer is trained, we can run task-specific blocks.

#### save_outcomes
To avoid re-caculating the $log[p(x_t|x_{1..t-1},x_{1..t-1})]$ for each tasks, we calculate them once and save as .pkl file.
To avoid re-caculating the <img src="/tex/a2f89e4ad54362f5c067ab4838f1ee5a.svg?invert_in_darkmode&sanitize=true" align=middle width=171.60993795pt height=24.65753399999998pt/> for each tasks, we calculate them once and save as .pkl file.
```
python multitaskAIS.py \
--mode=save_outcomes \
Expand All @@ -83,7 +83,7 @@ python multitaskAIS.py \
Similarly for the test set (```testset_name=dataset8/dataset8_valid.pkl```).

#### log_density
*log_density* calculates the distribution of $log[p(x_t|x_{1..t-1},x_{1..t-1})]$ in each small cells of the ROI.
*log_density* calculates the distribution of <img src="/tex/a2f89e4ad54362f5c067ab4838f1ee5a.svg?invert_in_darkmode&sanitize=true" align=middle width=171.60993795pt height=24.65753399999998pt/> in each small cells of the ROI.
```
python multitaskAIS.py \
--mode=save_outcomes \
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