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fixed bugs in ProtoNN Readme

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AIgen committed Jun 14, 2018
1 parent 2c4e599 commit 7a5c7411322fba84746cda75e5e730ea591a7780
Showing with 3 additions and 3 deletions.
  1. +3 −3 docs/README_PROTONN_OSS.ipynb
@@ -181,11 +181,11 @@
"- One can set $m$ to $min(10\\cdot L, 0.01\\cdot numTrainingPoints)$, and $d$ to $15$ for an initial experiment. Typically, you want to cross-validate for $m$ and $d$. \n",
"- Depending on $L$ and $D$, $S_W$ or $S_Z$ is the biggest contributors to model size. $\\lambda_W$ and $\\lambda_Z$ can be adjusted accordingly or cross-validated for. \n",
"\n",
"## Additional ProtoNN flags \n"
"### [Beta] Alternative optimization routine\n",
"## Additional ProtoNN flags \n",
"#### [Beta] Alternative optimization routine\n",
"One can use the `BTLS` flag in `src/ProtoNN/Makefile` (variable PROTONN_FLAGS) to enable optimization with [Back Tracking Line Search]. This is a faster and more stable optimization route. \n",
"\n",
"### [Beta] ProtoNN for Extreme Multilabel Learning (XML)\n",
"#### [Beta] ProtoNN for Extreme Multilabel Learning (XML)\n",
"[XML](http://manikvarma.org/downloads/XC/XMLRepository.html) refers to a difficult class of multi-label learning problems where the number of labels is large (ranging from a few thousands to a few millions). ProtoNN has been written to be compatible with these datasets. This mode can be enabled by the `XML` flag. \n",
"\n",
"## Formal details\n",

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