From 0c54220adfaada6ad1e2d54f31a9895da35127fd Mon Sep 17 00:00:00 2001 From: Patrick Simianer Date: Mon, 5 Nov 2012 18:57:39 +0100 Subject: build fix, default learning rate --- dtrain/dtrain.cc | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) (limited to 'dtrain/dtrain.cc') diff --git a/dtrain/dtrain.cc b/dtrain/dtrain.cc index b7a4bb6f..18286668 100644 --- a/dtrain/dtrain.cc +++ b/dtrain/dtrain.cc @@ -24,13 +24,13 @@ dtrain_init(int argc, char** argv, po::variables_map* cfg) ("pair_threshold", po::value()->default_value(0.), "bleu [0,1] threshold to filter pairs") ("N", po::value()->default_value(4), "N for Ngrams (BLEU)") ("scorer", po::value()->default_value("stupid_bleu"), "scoring: bleu, stupid_, smooth_, approx_, lc_") - ("learning_rate", po::value()->default_value(0.0001), "learning rate") + ("learning_rate", po::value()->default_value(1.0), "learning rate") ("gamma", po::value()->default_value(0.), "gamma for SVM (0 for perceptron)") ("select_weights", po::value()->default_value("last"), "output best, last, avg weights ('VOID' to throw away)") ("rescale", po::value()->zero_tokens(), "rescale weight vector after each input") ("l1_reg", po::value()->default_value("none"), "apply l1 regularization as in 'Tsuroka et al' (2010)") ("l1_reg_strength", po::value(), "l1 regularization strength") - ("fselect", po::value()->default_value(-1), "select top x percent (or by threshold) of features after each epoch NOT IMPL") // TODO + ("fselect", po::value()->default_value(-1), "select top x percent (or by threshold) of features after each epoch NOT IMPLEMENTED") // TODO ("approx_bleu_d", po::value()->default_value(0.9), "discount for approx. BLEU") ("scale_bleu_diff", po::value()->zero_tokens(), "learning rate <- bleu diff of a misranked pair") ("loss_margin", po::value()->default_value(0.), "update if no error in pref pair but model scores this near") -- cgit v1.2.3